Moncef Bouaziz | Soil Fertility | Research Excellence Award

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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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Joseph Ovwemuvwose | Plant Ecology | Research Excellence Award

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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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