With a strong background in hydrology and water resource management, I specialize in applying AI, machine learning, GIS, and simulation modeling to develop science-based, community-driven strategies for water security, climate resilience, and environmental sustainability. My work spans interdisciplinary research and practice across the US and South Asia, focusing on flood risk assessment, stormwater management, drought control and sustainable development.
10+
Publications
3
Awards
75+
Collaborations
2+
Countries Worked
We do not inherit the Earth from our ancestors, we borrow it from our children.
In picture: Emflume - Product of Emriver (Little River Research & Design)
My research integrates advanced hydrologic modeling, artificial intelligence, and real-time monitoring to mitigate flood risks and improve water resource management.
Developing and calibrating 1D and 2D HEC-RAS models for accurate simulation of floodplain hydraulics, stormwater infrastructure, and regulatory compliance.
Designing machine learning algorithms to predict flood occurrences, severity, and spatial extent, supporting enhanced flood risk assessment and emergency preparedness.
Implementing sensor data integration and predictive analytics to develop community and municipal-level early warning systems that improve flood response and resilience.
Sharing some photos captured during the presentation in MAEE conference, data collection during field work, poster presentation, focal group discussion for the research, and more...
Sharing some photos captured during the presentation in MAEE conference, data collection during field work, poster presentation, focal group discussion for the research, and more...
