Postdoctoral Fellow
Colorado State University
Sayantan has a Ph.D. degree in Geological Engineering from Missouri S&T, USA. His doctoral research was focused on groundwater withdrawal estimation using integrated remote sensing and machine learning (deep). For his doctoral research, Sayantan was involved in the USGS Mississippi Alluvial Plain project as part of the Water Use Team which dealt with integrating remote sensing and machine learning for estimating crop-specific groundwater use. Essentially, he developed the Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 (more on AIWUM: https://pubs.usgs.gov/sir/2021/5011/sir20215011.pdf). Sayantan also collaborated on a National Geospatial-Intelligence Agency (NGA) funded project for monitoring global land subsidence due to groundwater pumping. In addition, he was partially involved in a NASA-funded project on estimating groundwater withdrawals using remote sensing and machine learning.
In Summer 2022, Sayantan joined the Physical Modeling Team at Meta as a Research Scientist Intern working on their sustainability efforts related to nature-based carbon credits.
Monday, May 22, 2023
3:30 PM – 3:45 PM PDT