Assistant Professor, Department of Geography Weiming Hu is an Assistant Professor in the Department of Geography at the University of Georgia and a core faculty member of the Center for Geospatial Research. His research centers on the intersection of machine learning and geoinformatics, with a particular emphasis on big spatiotemporal data analytics. He leads the Lab for Geoinformatics and AI Modeling (GAIM), which aims to advance geospatial analytics and predictive modeling by integrating artificial intelligence with remote sensing and geographic information systems (GIS). Dr. Hu’s research is driven by a focus on quantifying and understanding uncertainty in multi-source data—from remote sensing, model simulations, and ground observations—and in hybrid dynamical–machine-learning models. His goal is to develop accurate, reliable, and trustworthy machine learning models for applications in Environmental and Earth Sciences. His work has been applied in diverse domains, including renewable energy forecasting, extreme event prediction, and water resource management, contributing to the creation of scalable, uncertainty-aware methods for studying and anticipating complex Earth system phenomena. Education: Ph.D. + M.S. Geographic Information Science and Cartography, Penn State University, 2021 B.A.Sc. Geoingormatics, Wuhan University, 2016 Research Research Interests: Machine learning and big spatiotemporal data analytics Quantifying and understanding uncertainty from multi-source data (remote sensing, model simulations, ground observations) Hybrid dynamical–machine-learning models Developing accurate, reliable, and trustworthy machine learning models for Environmental and Earth Sciences Applications in renewable energy forecasting, extreme event forecasting, and water resource management
