I'm a research fellow at Howard University specializing in machine learning applications for hydrology, flood inundation mapping, and environmental modeling. I work on coupling hydrologic models with AI architectures such as LSTMs and Swin Transformers, and integrating geospatial datasets with tools like Google Earth Engine and ArcGIS. My work aims to build interpretable, scalable solutions for forecasting floods, assessing environmental risks, and supporting data-driven decision-making in water resources management.
- Reach me via email: yogesh.bhattarai@bison.howard.edu
- Portfolio and blog: https://yogeshbhattarai.com
- Most of my activities are highlighted on LinkedIn: Yogesh Bhattarai
- Hybrid Swin-CNN model for high-resolution flood inundation prediction (2025)
- BMI-compatible LSTM integration with NextGen Framework (2025)
- Social Vulnerability Mapping for Flood Impact Assessment in DC Schools
- Flood Mapping using NAIP Imagery and Google Earth Engine
- Precipitation Forcing Data Fusion for Hydrologic Forecasting
- Vegetation Dynamics & Flood Risk Correlation using Landsat Series
- Deep Learning for Pluvial Flood Forecasting under MRMS Data
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