Vision: Conducting and guiding research to understand how changes in water resources, climate and management decisions will impact people, economy, and environment at local, regional, and global scales.
Research in the HydroSEL Laboratory is centered on understanding and predicting the complex interactions between water, climate, ecosystems, and human systems. We develop innovative methodologies that combine remote sensing, GIS, hydrological modelling, artificial intelligence, optimization, and field observations to address emerging challenges in water resources and environmental sustainability. Our work spans agro-hydrology, hydroclimatic extremes, river basin management, flood and drought assessment, GeoAI, Earth observation, and digital twin technologies. By integrating physics-based understanding with data-driven intelligence, we aim to build scalable decision-support systems that enhance climate resilience, improve agricultural water productivity, and promote sustainable management of natural resources.
Gaurav is an Assistant Professor in the Department of Civil and Environmental Engineering at the Indian Institute of Technology (IIT) Delhi, where he leads the HydroSEL (Hydro-Socio-Eco) Laboratory. He joined the Department of Civil and Environmental Engineering, IIT Delhi on December 2024. Before joining IITD, he worked as a Postdoctoral Researcher at the Kansas Geological Survey (KGS) at the University of Kansas (KU), United States and as a Research Scientist at NESAC. His research focuses on advancing sustainable water resources management through the integration of hydrology, remote sensing, geospatial technologies, artificial intelligence, optimization, and computational modelling. His work spans agro-hydrology, hydroclimatic extremes, water–energy–food systems, digital twins, flood and drought risk assessment, riverine agriculture, and GeoAI-enabled decision support systems. By combining field observations, satellite data, numerical models, and machine learning, his research aims to develop science-driven solutions for climate-resilient agriculture, water security, disaster risk reduction, and sustainable environmental management.
Topic: Crop modelling
Joint supervisor: Prof. B R Chahar, IIT Delhi
Topic: Flood modelling
Topic: Agro-policy decision
Topic: Crop Modeling and Prediction using Machine Learning
Topic: Assessment of Surface water and Groundwater of Ganga river Basin
Topic: Precipitation extremes
B.Tech, NIT Rourkela
Topic: Floods
B.Tech, NIT Rourkela
Topic: Agrohydrology
M.Sc, Central University of Andhra Pradesh
Topic: Hydroclimatic extremes
M.Sc, Department of Geography, Panjab University, Chandigarh
Topic: Understanding Hydroclimatic Compound Extremes
B.Tech, Civil Engineering, Shiv Nadar University
Topic: Crop Water Stress Detection Using Sentinel-2 and Land Surface Temperature
M.Sc., Department of Environmental Sciences, Central University of Rajasthan
Topic: Analyzing NDVI anomalies in agricultural zones using GEE
Graduate Student (Master's Program), University of Texas Rio Grande Valley (UTRGV)
KGS Geohydrology Internship Program, Summer 2024.
Project title: Quantitative Analysis of Trends in Kansas’ Hydroclimatic Compound Extremes
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Awarded the Prime Minister Early Career Research Grant (PMECRG) 2026 funded by ANRF.
Ph.D. Admissions: https://home.iitd.ac.in/pg-admissions.php