معرفی
Sayed M. Bateni serves as a Professor in the Department of Civil, Environmental and Construction Engineering at the University of Hawaii at Manoa, where he has advanced from Assistant Professor (2013) to Associate Professor (2019) and full Professor (2023). Previously, he held a Lecturer and Postdoctoral Scholar position at UCLA (2011-2013). His academic foundation includes a Ph.D. from MIT (2011), M.S. from Sharif University of Technology (2005), and B.S. from Isfahan University of Technology (2003).
His research spans Earth Remote Sensing, Land-Atmosphere Interaction, and Data Assimilation techniques, with significant emphasis on Optimization in Hydrology and Artificial Intelligence applications. Key methodologies include variational assimilation, ensemble Kalman filtering, and machine learning for environmental modeling. His work integrates satellite data with hydrological processes to analyze surface energy balance, evaporation dynamics, snowpack characterization, and soil properties.
Recent publications reveal a clear progression toward AI-driven environmental monitoring, with 2025 articles focusing on neural network applications for geotechnical geometry and land-atmosphere coupling, while earlier works (2007-2013) established foundational methods in microwave-based cryosphere analysis and hydraulic jump modeling. The research consistently bridges computational techniques with practical civil engineering challenges.
His scientific recognition includes:
- MIT Graduate Study Scholarship (2006-2010)
- F.S Chia Recruitment Ph.D Fellowship (Canada, 2005)
- DAAD Ph.D Fellowship (Germany, 2005)
- ORS Ph.D Award (England, 2005)
- Silver Medal of Physics Olympiad (1998)
Professor Bateni teaches core courses including Fluid Mechanics, Engineering Hydraulics, and Applied Hydrology, and maintains professional affiliations with the American Geophysical Union and IEEE Geoscience and Remote Sensing Society. No documented advising relationships or grant funding details were found in the source material.
