Summary
Sayantan Majumdar is an Assistant Research Professor specializing in hydrologic remote sensing, geospatial data science, and applied machine learning, with 11 years of experience translating satellite and airborne data into actionable water-resource insights. He holds a PhD in Geological Engineering and has built cross-disciplinary tools—like AIWUM v2.0—for estimating irrigation and groundwater withdrawals used in USGS and NASA projects. His work spans academia, government, and industry, including internships at Meta and Planet where he integrated high-resolution imagery, LiDAR, and deep learning for reforestation monitoring and surface water mapping. Sayantan combines rigorous scientific computing and open-source geospatial software development with practical impact on land subsidence and irrigation-use estimation, and he teaches graduate students as adjunct faculty at UNR. Notably, his background in computer science and early compiler and security research gives him a rare blend of systems-level thinking and domain expertise in hydrology.
11 years of coding experience
2 years of employment as a software developer
MSc Computer Science, MSc Computer Science at St. Xavier's College (Autonomous), Kolkata
Doctor of Philosophy - PhD Geological/Geophysical Engineering, Doctor of Philosophy - PhD Geological/Geophysical Engineering at Missouri University of Science and Technology
Higher Secondary Mathematics and Computer Science, Higher Secondary Mathematics and Computer Science at Springdale High School
MSc Geo-information Science and Earth Observation with Specialisation in Geoinformatics, MSc Geo-information Science and Earth Observation with Specialisation in Geoinformatics at Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente
English, Bengali, Hindi, Spanish