Ritu Kumari | Botany | Best Researcher Award

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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.

Chi Mai Do | Irrigation | Best Researcher Award

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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.

Asma Rehman | Catalysis | Best Review Paper Award

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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.

Ibrahim Ethem Pinar | Hematology | Best Researcher Award

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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.

Fahad Shahzad | Forestry | Best Researcher Award

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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.

Nawar Al-Tameemi | Soil and Water Conservation | Best Researcher Award

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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.

Rinal Prasad | Renewable Energy Management | Best Researcher Award

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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.

Miodrag Spalevic | Numerical Analysis | Best Researcher Award

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Prof. Dr. Miodrag Spalevic | Numerical Analysis | Best Researcher Award

Professor | University of Belgrade | Serbia

Prof. Dr. Miodrag Spalevic is a distinguished full professor in the Department of Mathematics at the Faculty of Mechanical Engineering, University of Belgrade, with additional teaching at the Mathematical Grammar School in Belgrade. He completed his PhD studies in mathematics at the universities of Kragujevac and Montenegro and serves as an external member of the University of Athens for faculty selection in numerical analysis, approximation theory, and numerical integration. Prof. Dr. Miodrag Spalevic has made significant contributions as editor and referee for numerous international journals and is actively involved in shaping research in applied and numerical analysis, scientific computing, and quadrature theory, particularly focusing on Gaussian-type quadrature formulas and orthogonal polynomials. He has authored over a hundred papers and several influential books and chapters, mentoring numerous MSc and PhD theses. His research explores advanced quadrature rules, error bounds, and numerical algorithms, emphasizing practical computation for analytic functions and Fourier coefficients. Prof. Dr. Miodrag Spalevic has participated in and contributed to a wide array of international conferences, delivering invited lectures, plenary talks, and keynote presentations, while also organizing specialized minisymposia. His work bridges rigorous theoretical development with practical computational methods, making him a leading figure in approximation, quadrature, and scientific computing. He has 88 documents with 723 citations, an h-index of 14, and is widely recognized for his editorial and academic leadership across global mathematical communities.

Profile: Scopus | Orcid | Researchgate 

Featured Publications

Milovanović, G. V., & Spalević, M. M. (1998). Construction of Chakalov–Popoviciu’s type quadrature formulae. Rend. Circ. Mat. Palermo, 52, 625–636.

Spalević, M. M. (1999). Bessel’s inequality in terms of a basis of Vk. Acta Sci. Math. (Szeged), 65, 169–177.

Spalević, M. M. (1999). Product of Turán quadratures for cube, simplex, surface of the sphere, Ern, Er2n. Journal of Computational and Applied Mathematics, 106, 99–115.

Spalević, M. M. (2002). Quadrature formulae of Radau and Lobatto type connected to s-orthogonal polynomials. Zh. Vychisl. Mat. Mat. Fiz., 42, 615–626.

Spalević, M. M. (2001). Remainder term in Chakalov–Popoviciu quadratures of Radau and Lobatto type and influence function. Publ. Inst. Math. (Beograd) (N.S.), 70(84), 79–93.

Xuhang Zhan | Sensor | Best Researcher Award

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Mr. Xuhang Zhan | Sensor | Best Researcher Award

Mr. Xuhang Zhan | Shenzhen University | China

Mr. Xuhang Zhan is a dedicated researcher and engineer specializing in electromagnetic ultrasonic non-destructive testing and ultrasound imaging, with strong expertise in host computer software development. Their academic foundation encompasses optics, college physics, electromagnetic fields and waves, analog and digital electronic technology, and signals and systems, providing a solid basis for advanced research. Mr. Xuhang Zhan has focused on multi-scale non-destructive testing methods for power batteries, particularly oriented toward secondary utilization. They independently designed and built a battery scanning imaging experimental platform using electromagnetic ultrasonic technology to probe the interior of lithium-ion batteries. This work involved leading the design of an electromagnetic ultrasonic scanning probe, optimizing parameters through electromagnetic simulation, and integrating hardware and software for precise experimental operation. Using LabVIEW, they developed motor displacement control programs and ultrasonic signal acquisition systems, while MATLAB facilitated signal filtering, feature extraction, and two-dimensional imaging algorithms. Their platform was successfully tested across different battery models and manufacturers, demonstrating both technical innovation and practical applicability. Beyond research, Mr. Xuhang Zhan has cultivated extensive experience in industrial control upper computer software development and collaborative hardware-software integration. Their skills extend to ultrasonic processing, imaging algorithm development, and experimental optimization. Throughout their academic journey, they actively engaged in college competitions, earning recognition for their achievements, reflecting a blend of creativity, technical rigor, and leadership. Mr. Xuhang Zhan continues to advance the field of non-destructive testing with a strong commitment to innovation and applied research in battery diagnostics and imaging technologies.

Profile: Orcid

Featured Publications

Zhan, X., Li, Z., Chen, H., Yu, G., & Li, X. (2025, September). Optimization and application of electromagnetic ultrasonic transducer for battery non-destructive testing. Sensors.

Nouman Liaqat | Electrical Engineer | Best Research Article Award

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Mr. Nouman Liaqat | Electrical Engineer | Best Research Article Award

Engineer | Al-Dafe Trading and Contracting Company | Saudi Arabia

Mr. Nouman Liaqat is a passionate and accomplished Electrical Engineer whose expertise spans power systems, renewable energy, and intelligent control systems. His career reflects extensive hands-on experience in LV & MV cable design, lighting and power systems, earthing, lightning protection, and building management systems. He has contributed to major industrial and infrastructure projects in Pakistan and Saudi Arabia, demonstrating proficiency in electrical installations, fire safety systems, and HVAC integration. As an MEP Engineer at AL-DAFE in the Sky Project, Jeddah, he is engaged in low current systems including CCTV, Wi-Fi, and access control. Mr. Nouman Liaqat has also worked with leading firms such as Renewable Engineering Solutions, Ibrahim Fibers, and Neelum Jhelum Hydropower Company, gaining valuable experience in switchgear, DCS, and control room operations. His academic excellence is reflected through gold medals in both undergraduate and postgraduate studies, where his thesis focused on data-driven microgrid optimization using machine learning. His technical skills include AutoCAD, IoT system development, embedded programming, and PCB design. Mr. Nouman Liaqat has also been recognized for his innovative academic projects, such as self-balancing robots and solar-powered microgrids, earning top honors for his creativity and performance. Beyond engineering, he is proficient in multiple programming languages, holds certifications in digital technologies, and actively contributes to scholarly research, including journal publications on outage prediction in microgrids. His research has achieved 23 citations from 23 documents with 2 publications and an h-index of 1, reflecting his growing impact in the field. Mr. Nouman Liaqat continues to pursue excellence through technological innovation, sustainable engineering solutions, and interdisciplinary collaboration across global energy systems.

Profile: Scopus | Orcid | Google Scholar 

Featured Publications

Ji, T., Liaqat, F., Khazi, M. I., Liaqat, N., Nawaz, M. Z., & Zhu, D. (2024). Lignin biotransformation: Advances in enzymatic valorization and bioproduction strategies. Industrial Crops and Products, 216, 118759.

Liaqat, F., Khazi, M. I., Ji, T., Liaqat, N., Le, Y., Al-Ghanim, K. A., Nawaz, M. Z., et al. (2024). Biovalorization of lignin-derived substrates to vanillylamine via a self-sufficient amino donor and cofactor recycling whole-cell platform. Environmental Research, 263, 120112.