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Rocky Talchabhadel
Jackson State UniversityMeeting roles in:
Machine Learning Surrogate Modeling to Improve Urban Flood Predictions
Enhancing Riverine Flood Inundation Predictions with Artificial Intelligence
From Regional Insights to Global Use: A Systematic Review of ADCIRC Applications in Storm Surge Modeling
Evaluating the Applicability of SWOT and SWORD for Nepal’s Water Monitoring: Building a Scalable National Database
Precipitation Temporal Disaggregation for Event-Based Hydrological Modeling in the Kathmandu Watershed, Nepal
Urban Flood Risk Assessment in Hanumante Watershed: A Multi-Criteria Decision Approach with Real Scenario Validation
Future Projections of Flood Hazards in the Karnali River Basin Using LSTM-HEC-RAS Modeling
Optimizing Reservoir Operation Under Changing Climate in the Central Himalayas
Capturing Rapid Vertical Flow Dynamics in the Texas Flash Flood of 2025 Using the Adaptive Hydraulics model (AdH). A Non-Hydrostatic Approach to Risk and Resilience.
Machine Learning-Enhanced Shoreline Extraction through Satellite Imagery for Gulf Coastline Monitoring: Addressing Complex Coastal Environments Through Automated Multi-Temporal Analysis
Unraveling Urban Heat and Moisture Anomalies Across the Continental U.S. Using Local Climate Zones and Earth Observation Data
Global Snow Attribute Mapping Tool (Global‑SAM)
Evaluating The Joint Influence of Natural Lake and Navigation Dams on the sediment dynamics in the Upper Mississippi River
Planetary Positions and Astrological Forecast for Extreme Precipitation and Flood from the Transboundary Response in Nepal
Overlooked Biases in Machine‑Learning Soil‑Carbon Maps: Depth Autocorrelation, Circular Density Logic, and Validation Gaps
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