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Yi Yu is a postdoctoral researcher at the University of Sydney, where he investigates the role of remotely sensed land surface temperature in improving spatiotemporal monitoring capability for agricultural drought. His research interests focus on developing hybrid approaches that integrate physical and data-driven methods to understand land-atmosphere interactions at spatiotemporal scales, particularly in the context of climate extremes and drought. Yu has been a visiting scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and serves as the lead Chief Investigator on high-performance computing (HPC) projects investigating AI applications in agricultural environmental science research. He is also leading the development of a process-based eco-hydrological model named the Sydney Soil Water-Energy Balance (SWEB) model, which simulates global crop evapotranspiration and root-zone soil moisture. In addition to his research work, Yu actively participates in professional societies including the American Geophysical Union (AGU) and the European Geosciences Union (EGU). He has received several awards for his contributions to the field, including the Chinese Government Award for Outstanding Self-Financed Students Abroad (2024) and recognition as a finalist in the IEEE IGARSS Student Paper Competition (2024).
University of Sydney • Sydney, Australia
Commonwealth Scientific and Industrial Research Organisation (CSIRO) • Sydney, Australia
This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.