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Recent Updates
Research paper published in Water Resources Research titled "Comprehensive flood impact assessment using NLP and BERT deep learning for improved impact prediction and disaster management". Paper
Presented an oral talk on "NLP and BERT Deep Learning-based Approaches for Improved Impact-based Forecasting and Disaster Management" in AGU 2025 at New Orleans, USA. Click here
I work at the intersection of hydrology, artificial intelligence, and impact-based forecasting. My research combines physical and data-driven approaches to better understand, predict, and communicate the impacts of hydrological extremes such as floods. My long-term vision is to develop human-centered forecasting systems that can forecast impacts through integrating machine learning, physical models, and social signals.
I work at the intersection of hydrology, artificial intelligence, and impact-based forecasting. My research combines physical and data-driven approaches to better understand, predict, and communicate the impacts of hydrological extremes such as floods. My long-term vision is to develop human-centered forecasting systems that can forecast impacts through integrating machine learning, physical models, and social signals.
Research Interests:
Research Interests:
Hydroclimatic Extremes
Natural Hazards
Exposure & Vulnerability
Impact Prediction
Machine Learning
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