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Siddharth Saksena
Virginia Polytechnic Institute and State 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
A Hybrid Deep Learning-Based Tool for Policy-Informed Future Land Use Change Prediction
Reimagining FEMA flood maps with an asset-level, CONUS-scale framework for design food risk estimation
Assessing the Efficacy of Common Probabilistic Distributions for Modeling of Streamflow Peaks in the US
High-Resolution Asset-Level Flood Risk Modeling for Climate-Aware Infrastructure Planning
Lessons from modeling flood inundation using process integration, computational flexibility and deep learning
Integrated Scenario Analysis of Hydrologic and Water Quality Responses to Land Use and Climate Change in the Occoquan Watershed, Northern VA
Developing a Modern Watershed Simulation Framework: Multi-Model Insights into Water Quantity and Quality in the Occoquan Watershed
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