Surya Deb Chakraborty | Remote sensing | Research Excellence Award

Published on by Environmental Scientists

Dr. Surya Deb Chakraborty | Remote sensing | Research Excellence Award

Dr. Surya Deb Chakraborty | Remote sensing | Senior Analyst at MBRSC lab University | Dubai

Dr. Surya Deb Chakraborty is a remote sensing and geospatial science professional whose work spans urban climate assessment, disaster management, and environmental monitoring, with a strong focus on land surface temperature dynamics and anthropogenic heat influences in rapidly urbanizing regions. He earned his academic training in the fields of Earth observation, geoinformatics, and remote sensing technologies, developing advanced expertise in thermal remote sensing, microwave remote sensing, and urban environmental modelling through both formal education and applied research experiences. Professionally, Dr. Chakraborty has contributed to the scientific community through roles in academic, research, and laboratory environments, including his current engagement with the MBRSC Lab at the University of Dubai, where he applies interdisciplinary geospatial techniques to environmental challenges in arid and semi-arid regions. His research experience includes extensive collaboration with scientists from the Indian Institute of Remote Sensing (ISRO) and other national and international institutions, contributing to studies on land use and land cover change, urban heat island effects, groundwater–heat interactions, sustainable development applications, and geospatial data integration for policy support. Dr. Chakraborty possesses advanced research skills in processing satellite imagery, thermal modelling, GIS-based environmental analysis, urban roughness parameterization, and the integration of in situ and remote-sensing data for environmental assessment. His methodological strengths include the use of multisensor datasets, geospatial modelling frameworks, environmental parameter retrieval, and algorithmic analysis of spatiotemporal patterns related to heat fluxes, land surface temperature, and urban microclimates. Over the course of his career, he has authored and co-authored peer-reviewed research publications that are widely cited within the fields of environmental management and geospatial science, contributing to a growing academic footprint that includes over 200 citations. Awards and honors associated with his work highlight his scientific rigor, collaborative research contributions, and commitment to advancing geospatial applications for sustainable development, although his most significant recognition comes from the widespread academic use of his research findings across multiple environmental and urban studies. In conclusion, Dr. Surya Deb Chakraborty stands as a dedicated researcher whose contributions to thermal remote sensing, geospatial modelling, and urban environmental assessment continue to support scientific understanding and practical solutions for sustainability, urban planning, and environmental resilience.

Academic Profile: Google Scholar

Featured Publications:

  1. Chakraborty, S. D., Kant, Y., & Mitra, D. (2015). Assessment of land surface temperature and heat fluxes over Delhi using remote sensing data. Journal of Environmental Management. Citations: 163

  2. Chakraborty, S. D., Kant, Y., & Bharath, B. D. (2014). Study of land surface temperature in Delhi city to managing the thermal effect on urban developments. International Journal of Advanced Scientific and Technical Research. Citations: 26

  3. Bhatt, M. M., Gupta, K., Danodia, A., Chakroborty, S. D., & Patel, N. R. (2023). Detailed urban roughness parametrization for anthropogenic heat flux estimation using earth observation data. Heliyon. Citations: 6

  4. Das, S., Ganguly, K., Mitran, T., & Chakraborty, S. D. (2023). Applications of geospatial and information technologies toward achieving sustainable development goals. Application of Remote Sensing and GIS in Natural Resources and Built Environments. Citations: 6

  5. Bhatt, M. M., Gupta, K., Danodia, A., Chakroborty, S. D., & Patel, N. R. (2023). Corrigendum to “Detailed urban roughness parametrization for anthropogenic heat flux estimation using earth observation data”. Heliyon. Citations: 1

 

 

Diego Guevara Torres | Remote Sensing | Best Researcher Award

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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.

Zezhong Zheng | remote sensing | Best Researcher Award

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Assoc. Prof. Dr. Zezhong Zheng | remote sensing | Best Researcher Award

Associate professor, University of Electronic Science and Technology of China, China🧬

Dr. Zezhong Zheng is an accomplished Associate Professor at the University of Electronic Science and Technology of China (UESTC). With over two decades of academic and industrial experience, his expertise spans remote sensing, landslide monitoring, deep learning, and geospatial intelligence. Having begun his career as an Assistant Engineer in petroleum geology, Dr. Zheng has grown into a leading researcher with over 20 peer-reviewed publications in top-tier journals. 🌏📡

Profile

Scopus

🎓 Education

Dr. Zheng completed his Ph.D. in Civil Engineering from the Southwestern Jiaotong University in 2010. He earned his M.S. in Information Engineering from Chengdu University of Technology in 2006 and received his B.S. in Earth Science from Jianghan University of Petroleum in 1999. His interdisciplinary education has laid the foundation for innovative research in geospatial science and engineering. 📘🎓🛰

👨‍🏫 Experience

Currently serving as an Associate Professor at UESTC since July 2013, Dr. Zheng previously held the position of Assistant Professor at the same university. Prior to academia, he contributed as an Assistant Engineer of Petroleum Geology at the Bohai Research Institute of CNOOC Ltd. from 1999 to 2003, enriching his expertise in geotechnical and geological fields. 🏢🛢🧑‍🏫

🔬 Research Interest

Dr. Zheng’s research interests include InSAR-based landslide detection, machine learning in remote sensing, geological hazard monitoring, and high-resolution image analysis. He is particularly focused on leveraging artificial intelligence for environmental risk mitigation and infrastructure safety. 🛰️🌋🧠

🏆 Awards

While specific awards are not listed, Dr. Zheng’s consistent publication in highly reputed journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, and Photogrammetric Engineering and Remote Sensing reflect his academic excellence and recognition in the scientific community. 🏅📚✨

📚 Publications

Landslide evolution assessment using sequential InSAR methods – Photogrammetric Engineering and Remote Sensing, 2025.
Cited for geohazard risk assessment using remote sensing.

Wildfire detection from Himawari-8 data – IEEE Transactions on Geoscience and Remote Sensing, 2024.
Cited for enhancing early wildfire response through spatiotemporal data.

Machine learning for landslide early warning – Natural Hazards Review, 2024.
Cited for AI-driven landslide prediction models.

YOLO network for UAV-based defect detection – Photogrammetric Engineering and Remote Sensing, 2024.
Cited for improving aerial inspection accuracy.

Defect prediction in power systems – Applied Sciences, 2024.
Cited for electrical system reliability diagnostics.

InSAR monitoring of Xinmo Village landslide – Photogrammetric Engineering and Remote Sensing, 2024.
Cited for landslide mapping precision.

Impervious surface extraction using Landsat and ML – Remote Sensing Applications: Society and Environment, 2023.
Cited for urban planning and environmental management.

Deep learning for satellite insulator detection – IEEE GRSL, 2023.
Cited for advancing satellite inspection techniques.

Reactor magnetic field simulation – IEEE Transactions on Power Delivery, 2023.
Cited for deep learning in energy systems.

Domain adaptation in land use classification – IEEE Transactions on Geoscience and Remote Sensing, 2023.
Cited for transfer learning in geospatial analytics

Conclusion

Zezhong Zheng is a highly accomplished researcher with a remarkable contribution to his field. His innovative work in remote sensing, machine learning applications, and environmental monitoring showcases his dedication to advancing both science and practical solutions for global challenges. With his expertise, impactful publications, and commitment to research excellence, he is undoubtedly a strong contender for the Best Researcher Award.

Zhifei Chen | Remote Sensing | Best Researcher Award

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Prof Zhifei Chen | Remote Sensing | Best Researcher Award

Professor, Nanjing University of Science and Technology, China  🌍

Zhifei Chen is an esteemed Associate Professor at the School of Computer Science and Engineering at Nanjing University of Science and Technology. She earned her B.S. in Software Engineering from Nanjing University of Science and Technology (2012) and a Ph.D. in Computer Science from Nanjing University (2018). Zhifei’s research focuses on remote sensing, intelligent software engineering, and AI testing. She has led significant projects funded by the National Key R&D Program and the National Natural Science Foundation of China, with numerous publications and patents to her name.

Profile

Orcid

Education 🎓

Zhifei Chen completed her B.S. in Software Engineering at Nanjing University of Science and Technology, China, in 2012. She went on to earn a Ph.D. in Computer Science from Nanjing University in 2018, specializing in computer science and technology. Her solid academic foundation has enabled her to make substantial contributions to the fields of remote sensing and software engineering.

Experience 💼

Zhifei Chen holds the position of Associate Professor at Nanjing University of Science and Technology, where she has been involved in cutting-edge research and academic instruction. She has contributed to high-level projects funded by the National Key R&D Program and the National Natural Science Foundation of China. Additionally, she serves as a member of the Software Engineering Committee and the Systems Software Committee of the China Computer Federation (CCF). Zhifei’s role as an editor and conference committee member for top international conferences further highlights her leadership in the field.

Research Interests 🔬

Zhifei’s research interests span remote sensing, software engineering, and AI testing. She focuses on utilizing AI for improving software testing processes and exploring the applications of remote sensing technology in various engineering fields. Zhifei has led multiple research projects, including those related to AI software engineering and intelligent systems. Her work has had a profound impact on advancing software development methodologies and improving engineering practices.

Awards & Positions 🏅

Zhifei has received several accolades for her pioneering work in computer science, including patents and software copyrights. She is also recognized for her leadership roles in academic organizations, serving as an editorial board member for prestigious journals and a PC member for top conferences like AAAI and SEKE. Her commitment to excellence has earned her numerous research grants, including those from the National Natural Science Foundation of China.

Publications Top Notes 📚

Zhifei Chen has authored over 20 papers in top-tier international conferences and journals, including ICSE and TOSEM. She has also published books and holds patents. Some of her notable works include:

“Intelligent Software Engineering: AI Applications” (2023, Journal of Software Engineering)
Cited by source.

“Remote Sensing in Engineering: Applications and Innovations” (2022, IEEE Transactions on Geoscience and Remote Sensing)
Cited by source.

Book: “Remote Sensing and AI in Software Engineering” (ISBN: 9787302630371)

Conclusion

Zhifei Chen is a highly qualified and accomplished candidate for the Best Researcher Award. Her extensive research achievements, including significant projects, publications, patents, and professional contributions, demonstrate her dedication and impact on the fields of remote sensing and software engineering. With her expertise and continuous involvement in high-level research, she is well-positioned to contribute to the scientific community at an even larger scale, making her an ideal candidate for this prestigious award.