🔬︎ Research Focus
Computational Hydrology
Exploring how data, models, and computation can improve our understanding of streamflow, groundwater contributions, watershed processes, and hydrological responses under changing climates.
Drought Analytics
Advancing drought monitoring and forecasting through the integration of climate data, remote sensing observations, drought indices, and machine learning techniques.
Geospatial Intelligence
Combining remote sensing, GIS, machine learning, and spatial statistics to transform Earth observation data into actionable insights for water resources and environmental systems.
Drone Data Collection & Analysis
Collecting and processing high-resolution UAV imagery using photogrammetry, 3D reconstruction, and spatial analysis to support environmental monitoring and field-scale investigations.
📑︎ Selected Publications
💻︎ Projects
Funded Project on 'Building Resilient Communities Through Integrated Early Warning Systems for Urban Floods and Agricultural Droughts in India'
A five-year longitudinal ICSSR study on community-driven early warning systems, flood and drought risk mapping, risk perception, and disaster preparedness using GIS, remote sensing, sensors, surveys, and machine learning.
📄 Project Details →Development of an R Package for Comprehensive Hydrological Analysis and Water Resources Assessment
An open-source R package integrating hydrological data processing, quality control, hydrograph analysis, drought indices, baseflow separation, trend detection, hydrological signatures, model evaluation, and geospatial workflows for reproducible water resources research and operational hydrology.
Details coming soonGeoHydroLab: Geospatial Intelligence for Hydrology, Drought Monitoring, and Climate Resilience
An applied geospatial research initiative integrating satellite observations, GIS, hydroclimatic datasets, spatial modeling, and machine learning to support drought assessment, water availability mapping, watershed management, and climate adaptation planning.
Details coming soon