Moncef Bouaziz | Soil Fertility | Research Excellence Award

Dr. Moncef Bouaziz | Soil Fertility | Research Excellence Award

TU Bergakademie Freiberg | Germany

Dr. Moncef Bouaziz is an environmental engineer and remote sensing specialist with extensive academic and applied research experience in environmental monitoring, geospatial analysis, and decision-support systems. He earned his PhD in Environmental Remote Sensing from TU Bergakademie Freiberg, following advanced training in environmental engineering and water and soil management. Since 2022, he has served as scientific staff at TU Bergakademie Freiberg, where he develops spatial decision support systems for post-mining environmental change assessment, leads 3D modeling and platform development, and applies machine learning techniques in Python for remote modeling and forecasting. His academic experience includes prior appointments as an assistant professor at the University of Sfax and as scientific staff at TU Dresden, contributing to projects on land degradation, aeolian dynamics, drought assessment, and ecosystem monitoring. Dr. Bouaziz has coordinated and participated in several nationally and internationally funded research initiatives, including DAAD-supported climate change education platforms and European environmental monitoring programs. His research interests focus on remote sensing–based land degradation analysis, drought prediction, climate change impacts, post-mining hazard assessment, and the integration of machine learning with geospatial data. He has authored numerous peer-reviewed publications in high-impact international journals and actively supervises graduate and undergraduate students. Through interdisciplinary research, teaching, and international collaboration, he aims to advance sustainable environmental management and evidence-based spatial planning.

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San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

Ms. San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

National Taiwan University | Taiwan

Nan San Nyunt is an agricultural professional from a farming community with a strong focus on climate-smart agriculture, crop modeling, and sustainable farming practices. She earned her M.Sc. in Global Agriculture Technology and Genomic Science from National Taiwan University, where she conducted research on climate change risk assessment and adaptation strategies for potato production in Myanmar using the DSSAT model. Her bachelor’s degree in Agricultural Science from Yezin Agricultural University involved experimental work on controlling root-knot nematodes in tomato crops. Nan has extensive experience working with NGOs and international organizations, leading farmer-centered initiatives, capacity-building programs, and agricultural innovation projects. She co-founded Taungthutada (TTTD), managing projects aimed at food security, women’s empowerment in agribusiness, and improving access to innovative agricultural services. Her roles include research assistant and teaching assistant at National Taiwan University, where she focuses on crop modeling, crop rotation simulations, and research manuscript preparation. She has presented her work at international conferences and published research on the impacts of climate change on potato production. Nan’s interests include crop modeling, agronomic research, climate adaptation strategies, and sustainable agricultural value chains. She has been recognized with the NTU-SEARCA Joint Scholarship for her academic and research excellence. Nan continues to bridge research and practice to advance climate-resilient agriculture.

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Joseph Ovwemuvwose | Plant Ecology | Research Excellence Award

Mr. Joseph Ovwemuvwose | Plant Ecology | Research Excellence Award

Imperial College | United Kingdom

Dr. Joseph Ovwemuvwose is a Ph.D. candidate in next-generation global biogeochemical cycle modelling at Imperial College London (2022–2026), supervised by Prof. Ian C. Prentice and Dr. Heather Graven. He holds an MSc in Crop Improvement from the University of Nottingham and a BSc in Plant Biology and Biotechnology from the University of Benin. His research focuses on global carbon flux modelling, land-use change impacts, terrestrial biosphere models, and carbon cycle feedbacks under rising CO₂. He has developed algorithms in Python to classify global vegetation by carbon use, evaluated and compared multiple global models for land-use and CO₂ sensitivity, and is author of a manuscript (under review) on uncertainty in land carbon fluxes simulated by CMIP6 models. Beyond modelling, he has conducted experimental work on plant water uptake and carbon allocation using portable NMR during a post-graduate stint in Montpellier/IRD. His experience spans project coordination (including a pan-African modelling-training initiative), science communication (working with the Science Museum Group), and teaching at Imperial College. He has presented at multiple international conferences and secured funding for collaborative research. Recipient of a fully-funded Chevening MSc scholarship and a Shell Petroleum Development Company undergraduate scholarship, he combines strong academic credentials, interdisciplinary experience, and a passion for bridging science, education, and public engagement.

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