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Sayan Dey
Saint Louis UniversityMeeting roles in:
Improving extreme streamflow estimates across the CONUS Using Physics-Informed ML and Synthetic Rating Curves
A Flexible Hybrid Flood Modeling Framework to Improve Computational Efficiency in Large Watersheds
Data-Driven Agriculture: Remote Sensing and Machine Learning Solutions for Food Security I Poster
Data-Driven Agriculture: Remote Sensing and Machine Learning Solutions for Food Security II Oral
Reimagining FEMA flood maps with an asset-level, CONUS-scale framework for design food risk estimation
Advances in River Morphology Science, Tools, and Datasets: Improving Our Understanding of Rivers I Poster
Advances in River Morphology Science, Tools, and Datasets: Improving Our Understanding of Rivers II Oral
Evolving Bathymetry, Emerging Errors: How Changes in River Bathymetry Impact Uncertainty in Flood Forecasting
Comparison of 1D and 2D HEC-RAS for Dam Breach Analysis
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