Linchao Li | Sustainable Agriculture | Young Innovator Award

Dr. Linchao Li | Sustainable Agriculture | Young Innovator Award

Inner Mongolia Agricultural University | China

Linchao Li is an agricultural and environmental scientist specializing in climate change impacts on crop systems, extreme weather analysis, and data-driven yield prediction. He is currently an Associate Professor at Inner Mongolia Agricultural University and previously served as a Postdoctoral Research Associate at Iowa State University, with international research experience as a joint PhD student at the NSW Department of Primary Industries, Australia. Dr. Li earned his PhD in Agricultural Resources and Environment from Northwest A&F University, following a master’s degree in Hydraulic Engineering and a bachelor’s degree in Agricultural Water Conservation Engineering. His research integrates machine learning, crop modeling, and multi-source environmental data to improve projections of crop yield, drought risk, precipitation extremes, and greenhouse gas emissions under climate change. He has published extensively in leading journals such as One Earth, Nature Food, Global Change Biology, Agricultural and Forest Meteorology, and Communications Earth & Environment. His work contributes to reducing uncertainty in agricultural climate impact assessments and supporting climate-resilient farming systems. Dr. Li has participated in nationally and internationally funded research projects related to climate adaptation, drought evolution, and sustainable agriculture. With strong expertise in R, MATLAB, GIS, APSIM, AquaCrop, and hydrological models, he continues to advance interdisciplinary research bridging climate science, agronomy, and decision-support systems.

Citation Metrics (Scopus)

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Citations
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Documents
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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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