Nikos Theodoulidis | Geophysics | Best Researcher Award Published on 13/10/202513/10/2025 by Environmental Scientists Dr. Nikos Theodoulidis | Geophysics | Best Researcher Award Research Director | Institute Engineering Seismology and Earthquake Engineering | Greece Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Dr. Nikos Theodoulidis is a distinguished geologist and seismologist serving as Research Director with extensive experience in engineering seismology and earthquake engineering. He has been a dedicated researcher at the Institute of Engineering Seismology and Earthquake Engineering in Thessaloniki, Greece, where he also held the position of Director. His work focuses on strong ground motion modeling, seismic hazard assessment, surface geophysics, and evaluating site effects using both earthquake and ambient noise data. He has made significant contributions to understanding the consequences of destructive earthquakes and has been instrumental in planning, operating, and analyzing data from accelerometric networks. As a lead scientist, he has overseen numerous national and European research projects, contributing to advancements in earthquake engineering practice and policy. He has authored and co-authored over 108 documents, cited more than 3,556 times across 2,631 documents, and holds an h-index of 30, reflecting his sustained impact on the field. His expertise bridges theoretical research and practical application, providing critical insights into earthquake risk mitigation, infrastructure resilience, and public safety, while demonstrating a long-standing commitment to advancing seismology and mentoring the next generation of researchers. Profile: Scopus | Orcid
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Featured Publications Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Xun, Z., Theodoulidis, N., et al. Estimation of vertical amplification correction function (VACF) in Greece based on the generalized inversion technique of strong motion and diffuse field concept on earthquakes. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Ground-motion dependency on seasonal variations: Observations at the ARGONET array, Cephalonia, Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Analyzing the stability of P-wave seismogram method for estimating VS30: Insights from two accelerometer arrays in Greece. Bulletin of the Seismological Society of America. Xun, Z., Theodoulidis, N., et al. Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach. Soil Dynamics and Earthquake Engineering. Xun, Z., Theodoulidis, N., et al. Constraining the near-surface VS structure by the joint inversion of SH wave transfer function, Rayleigh wave dispersion and ellipticity information. Geophysical Journal International.
Zhifeng Xun | Soil Carbon | Best Researcher Award Published on 13/10/202513/10/2025 by Environmental Scientists Dr. Zhifeng Xun | Soil Carbon | Best Researcher Award Lecturer | Liaoning Agricultural Vocation and Technical College | China Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Dr. Zhifeng Xun is a lecturer at Liaoning Agricultural Vocational and Technical College with a strong academic background in Grassland Science and Turfgrass Resources and Utilization. His research focuses on soil carbon and nitrogen cycling and the microbial pathways responsible for the production of the greenhouse gas nitrous oxide (N₂O). Through a combination of biological inhibition experiments and high-throughput sequencing, he has identified fungi, particularly Ascomycota, as significant contributors to N₂O emissions under nitrogen fertilization, revealing that moderate nitrogen input disproportionately stimulates fungal-driven emissions. Dr. Zhifeng Xunhas contributed to multiple major research programs, enhancing the understanding of microbial mechanisms in urban lawn soils and providing a scientific foundation for sustainable nitrogen management in green spaces. He has authored four journal publications and a book, advancing knowledge in ecosystem management and climate change mitigation. His work integrates soil science and microbial ecology to inform practical strategies for reducing greenhouse gas emissions and promoting resilient, sustainable urban landscapes. His research has garnered 16 citations across 16 documents, with an h-index of 2. Profile: Scopus | Orcid
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Featured Publications Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Xun, Z., Zhao, M., Zhao, X., Wang, M., Liu, Y., Han, X., Zhang, Y., Wu, Y., & Quan, Z. (2025-10). Role of fungi in N<sub>2</sub>O emissions from nitrogen-fertilized lawn soil. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024-07). Evaluating the effects of reduced N application, a nitrification inhibitor, and straw incorporation on fertilizer-N fates in the maize growing season: A field <sup>15</sup>N tracer study. Nitrogen. Quan, Z., Li, S., Xun, Z., Liu, C., Liu, D., Wang, Y., Zhao, X., Yang, M., Lu, C., Chen, X., et al. (2024). Effects of reduced N application, nitrification inhibitor, and straw incorporation on fertilizer-N fates in maize cropping system: A field <sup>15</sup>N tracer study in Northeastern China. Working paper.
Diego Guevara Torres | Remote Sensing | Best Researcher Award Published on 13/10/202513/10/2025 by Environmental Scientists Dr. Diego Guevara Torres | Remote Sensing | Best Researcher Award The University of Adelaide | Australia Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes. Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Featured Publications Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87. Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655. Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112. Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19. Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina. Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.
Ritu Kumari | Botany | Best Researcher Award Published on 11/10/202513/10/2025 by Environmental Scientists Assist. Prof. Dr. Ritu Kumari | Botany | Best Researcher Award Assistant Professor | Lovely Professional University | India Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Assist. Prof. Dr. Ritu Kumariis a dedicated researcher in the field of Botany with specialization in Plant Physiology, committed to advancing knowledge in abiotic stress tolerance and plant signaling. Her academic journey through esteemed institutions in Punjab reflects a deep-rooted passion for understanding how plants respond to environmental challenges. Her research primarily focuses on the regulatory mechanisms of signaling molecules such as nitric oxide and hydrogen sulfide in enhancing plant resilience under salt stress. With extensive experience in multi-stress simulation, biochemical assays, and antioxidant response analysis, she strives to develop sustainable strategies for crop improvement. Assist. Prof. Dr. Ritu Kumari has co-authored impactful publications and book chapters in reputed journals and international volumes, contributing significantly to plant stress biology, physiology, and crop management. Her research profile includes 21 citations by 21 documents, 7 published works, and an h-index of 2, reflecting her growing scholarly impact. Her collaborations with distinguished scientists across India, China, and Saudi Arabia highlight her global research engagement. Recipient of prestigious awards for her scientific presentations, she actively participates in international conferences and workshops focused on sustainable agriculture and environmental resilience. Through her innovative work and academic collaborations, Assist. Prof. Dr. Ritu Kumari aims to translate plant physiological insights into practical solutions for agricultural sustainability and food security. Profile: Scopus | Orcid | Google Scholar | Resaerchgate
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Featured Publications Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Kumari, R., Kapoor, P., Mir, B. A., Singh, M., Parrey, Z. A., Rakhra, G., Parihar, P., et al. (2024). Unlocking the versatility of nitric oxide in plants and insights into its molecular interplays under biotic and abiotic stress. Nitric Oxide, 150, 1–17. Kumari, R., Khan, M. N., Parrey, Z. A., Kapoor, P., Mir, B. A., Taziun, T., Parihar, P., et al. (2025). Synergistic effects of hydrogen sulfide and nitric oxide in enhancing salt stress tolerance in cucumber seedlings. Physiologia Plantarum, 177(1), e70109. Kapoor, P., Parrey, Z. A., Mir, B. A., Wani, A. W., Kumari, R., Rakhra, G., Joshi, R., et al. (2025). Flaxseed in diabetes management: Nutritional and therapeutic insights. Current Nutrition Reports, 14(1), 1–18. Ahmad, Z., Kumari, R., Mir, B. A., Saeed, T., Firdaus, F., Vijayakanth, V., Keerthana, K., Ramakrishnan, M., & Wei, Q. (2025). Bamboo for the future: From traditional use to Industry 5.0 applications. Plants, 14(19), 3019. Kumari, R., Rakhra, G., Alsahli, A. A., Bhat, J. A., & Ahmad, P. (2025). Exploring the potential of signaling molecules hydrogen sulfide and nitric oxide in augmenting salt stress resilience in bitter gourd. BMC Plant Biology, 25(1008), 14.
Chi Mai Do | Irrigation | Best Researcher Award Published on 11/10/202511/10/2025 by Environmental Scientists Dr. Chi Mai Do | Irrigation | Best Researcher Award Researcher | Adelaide University | Australia Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Asma Rehman | Catalysis | Best Review Paper Award Published on 11/10/202511/10/2025 by Environmental Scientists Ms. Asma Rehman | Catalysis | Best Review Paper Award Researcher | University of Agriculture Faisalabad | Pakistan Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Ms. Asma Rehman is a dedicated researcher in chemistry whose work bridges green chemistry, organocatalysis, polymer degradation, and artificial intelligence–driven process optimization. With a strong academic foundation from the University of Agriculture, Faisalabad, and Government College University, Faisalabad, she focuses on sustainable catalytic methods for polymer waste valorization and environmental remediation. Her research integrates benign organocatalysts with data-driven modeling to enhance the controlled degradation and upcycling of polystyrene, aligning with global sustainability initiatives. Through the application of machine learning and response surface methodology, she develops predictive models for optimizing reaction parameters and designing eco-efficient processes. Beyond her academic pursuits, Ms. Asma Rehman has contributed to several high-impact publications in reputed journals, addressing themes such as photocatalysis, wastewater treatment, and circular economy approaches to plastic waste management. She has participated in multiple international seminars, conferences, and e-courses on artificial intelligence, biostatistics, and academic writing, demonstrating her commitment to interdisciplinary learning. Alongside her research, she has served as a chemistry teacher and discipline in-charge, fostering scientific curiosity among students. Her technical proficiency spans Python, R Studio, ChemDraw, and machine learning tools, reflecting her analytical and computational expertise. Passionate about sustainability and innovation, Ms. Asma Rehman actively engages in community welfare initiatives and scientific collaborations, striving to contribute to environmentally conscious technological advancements that promote cleaner, smarter, and greener chemical processes for the future. Profile: Orcid
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Featured Publications Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Rehman, A., Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances. Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances. Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI.
Ibrahim Ethem Pinar | Hematology | Best Researcher Award Published on 10/10/202510/10/2025 by Environmental Scientists Assoc. Prof. Dr. Ibrahim Ethem Pinar | Hematology | Best Researcher Award Associate Professor | Bursa Uludag University | Turkey Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Assoc. Prof. Dr. Ibrahim Ethem Pinar M.D., is an Associate Professor in the Department of Hematology at the Faculty of Medicine, Bursa Uludağ University, Türkiye. He completed his medical education and specialized training in internal medicine and hematology, establishing a strong academic and clinical foundation in the field. His research focuses on acute myeloid leukemia, FLT3-mutated AML, hematopoietic stem-cell transplantation, CMV reactivation, multiple myeloma prognostics, and the integration of artificial intelligence in hematology. Assoc. Prof. Dr. Ibrahim Ethem Pinar has authored impactful research articles published in reputed journals such as the International Journal of Hematology and Oncology, Therapeutic Apheresis and Dialysis, Clinical Lymphoma Myeloma and Leukemia, and Scientific Reports. His scholarly output includes 23 publications with 64 citations across 64 documents and an h-index of 5, reflecting his growing influence in the hematology research community. He has also contributed to book chapters discussing contemporary clinical approaches to hematologic diseases and nanotechnology applications in medicine. Recognized for his contributions to hematologic research, Assoc. Prof. Dr. Ibrahim Ethem Pinar has received multiple awards from the Turkish Society of Hematology and presented his studies at prestigious international conferences, including the American Society of Hematology and the European Society for Blood and Marrow Transplantation. A dedicated educator and clinician, he continues to advance the understanding and management of hematologic malignancies through innovative clinical and translational research. Assoc. Prof. Dr. Ibrahim Ethem Pinar is fluent in Turkish and English and remains deeply engaged in collaborative projects that bridge academic excellence with clinical practice in hematology. Profile: Scopus | Orcid | Google Scholar
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Featured Publications Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Gursoy, V., Ozkalemkas, F., Ozkocaman, V., Yegen, Z. S., Pinar, I. E., Ener, B., … (2021). Conventional amphotericin B associated nephrotoxicity in patients with hematologic malignancies. Cureus, 13(7). Acet-Öztürk, N. A., Ömer-Topçu, D., Vurat-Acar, K., Aydın-Güçlü, Ö., Pınar, İ. E., … (2022). Impact of revised EORTC/MSGERC 2020 criteria on diagnosis and prognosis of invasive pulmonary aspergillosis in patients with hematological malignancies undergoing bronchoscopy. Journal of Medical Mycology, 32(4), 101304. Orhan, B., Özkalemkaş, F., Özkocaman, V., Gürbüz, B., Ersal, T., Pınar, İ. E., … (2022). The role of white blood cell count in perianal pathologies: A retrospective analysis of hematologic malignancies. Mediterranean Journal of Hematology and Infectious Diseases, 14(1), e2022051. Baysal, M., Gürsoy, V., Hunutlu, F. C., Erkan, B., Demirci, U., Bas, V., Gulsaran, S. K., … (2022). The evaluation of risk factors leading to early deaths in patients with acute promyelocytic leukemia: A retrospective study. Annals of Hematology, 101(5), 1049–1057. Ersal, T., Özkocaman, V., Pınar, İ. E., Yalçın, C., Orhan, B., Candar, Ö., Çubukçu, S., … (2023). Systemic inflammatory indices for predicting prognosis of myelofibrosis. Scientific Reports, 13(1), 12539.
Fahad Shahzad | Forestry | Best Researcher Award Published on 10/10/202510/10/2025 by Environmental Scientists Dr. Fahad Shahzad | Forestry | Best Researcher Award Research Assistant | Beijing Forestry University | China Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Dr. Fahad Shahzad is a dedicated researcher specializing in Environmental Remote Sensing and Forest Management at Beijing Forestry University. He has developed expertise in machine learning applications for environmental monitoring, vegetation dynamics, and forest fire prediction, contributing extensively to high-impact international journals. His work encompasses forest fire prediction models, spatio-temporal analysis of vegetation stress under climatic variability, biomass and carbon stock modeling, and urban heat island dynamics. Fahad has led and collaborated on numerous research projects across China, Pakistan, and Europe, integrating geospatial technologies, Google Earth Engine, and advanced GIS tools to generate actionable insights for sustainable forest management and climate resilience. Beyond research, he has contributed to consultancy projects with government and development organizations, supervised field data collection, and reviewed peer-reviewed articles for leading scientific journals. Through his collaborations with institutions such as Wuhan University, University of Évora, University of Swat, and University of Peshawar, he actively bridges multidisciplinary expertise in environmental science. His work advances predictive modeling for vegetation health, wildfire risk, and carbon dynamics, mentoring early-career researchers and providing practical solutions to environmental and climate challenges. Dr. Fahad Shahzad commitment lies in leveraging data-driven approaches to address global sustainability issues, combining rigorous scientific research with actionable environmental management strategies. His research has garnered 281 citations across 140 documents, with 18 published papers contributing to an h-index of 10. Profile: Scopus | Orcid | Google Scholar | Researchgate
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Featured Publications Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., … 2024. Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports, 14(1), 11775. Anees, S. A., Mehmood, K., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning. Environmental and Sustainability Indicators, 24, 100485. Mehmood, K., Anees, S. A., Rehman, A., Rehman, N. U., Muhammad, S., … 2024. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions. Trees, Forests and People, 18, 100657. Shahzad, F., Mehmood, K., Hussain, K., Haidar, I., Anees, S. A., Muhammad, S., … 2024. Comparing machine learning algorithms to predict vegetation fire detections in Pakistan. Fire Ecology, 20(1), 57. Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., … 2025. Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS, 31(3), 473-500.
Nawar Al-Tameemi | Soil and Water Conservation | Best Researcher Award Published on 10/10/202510/10/2025 by Environmental Scientists Dr. Nawar Al-Tameemi | Soil and Water Conservation | Best Researcher Award Research Assistant | Beijing Forestry University | China Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Rinal Prasad | Renewable Energy Management | Best Researcher Award Published on 10/10/202510/10/2025 by Environmental Scientists Mr. Rinal Prasad | Renewable Energy Management | Best Researcher Award Teacher | University of Fiji | New Zealand Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Mr. Rinal Prasad is a dedicated mathematics and physics educator with extensive experience in teaching and academic leadership across several secondary schools. Currently serving as a mathematics teacher at Thames High School, he has previously led departments in mathematics, physics, and science, demonstrating strong leadership and curriculum development skills. Mr. Rinal Prasad holds a Master’s in Renewable Energy Management and a Postgraduate qualification in Education, complementing his Bachelor of Science with a double major in mathematics and physics. Throughout his career, he has been recognized for excellence in teaching and sustainability initiatives, leading projects that earned national and regional awards, including solar energy and biogas implementations at educational institutions. He is skilled in communication, problem-solving, and educational technology, with proficiency in Microsoft Office, Mathematica, LabVIEW, and Lynx. Mr. Rinal Prasad is committed to mentoring students, fostering team collaboration, and achieving academic excellence under challenging conditions. Beyond the classroom, he engages in community service, volunteering for disaster relief efforts and fundraising initiatives, reflecting a strong sense of social responsibility. Passionate about sports, music, and socializing, he balances professional dedication with personal interests, embodying a holistic approach to education and life. His commitment to innovation, sustainability, and student success marks him as a transformative figure in education. Profile: Orcid
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Featured Publications Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.
Prasad, R. R. (2025, September 28). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji.