Summary
Yiwen Mei is an Associate Professor and hydrology researcher with eight years of post-PhD experience combining remote sensing and hydrological/hydraulic modeling to improve prediction of water-cycle components and weather-related hazards. He has held research and leadership roles at Sun Yat-sen University, University of Connecticut, University of Michigan and George Mason, and serves as associate editor for the Journal of Hydrology with 25 peer-reviewed publications. His technical strengths include multi-objective model calibration, statistical downscaling, drought propagation analysis, and coupling hydrologic and hydraulic models across diverse basins. Trained with an M.S. and Ph.D. from the University of Connecticut, he brings both field-scale insight and satellite-product expertise to bridge observation and process-based modeling. Colleagues describe him as a pragmatic coder who shares mature Matlab tools openly, reflecting a hands-on approach to reproducible science. He is based in Guangzhou and applies international experience to regional water resilience challenges in China and beyond.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Environmental Engineering Technology/Environmental Technology, A, Bachelor of Engineering (B.Eng.), Environmental Engineering Technology/Environmental Technology, A at Guangdong University of Technology
Doctor of Philosophy (Ph.D.), Environmental Engineering, A, Doctor of Philosophy (Ph.D.), Environmental Engineering, A at University of Connecticut
English, Chinese, Chinese