My research lies at the intersection of computational hydrology, water resources engineering, geospatial analytics, and environmental change science. I am particularly interested in understanding how climatic variability, land-use change, and anthropogenic interventions alter catchment-scale hydrological processes and water availability.
During my doctoral research, I developed methodologies for assessing catchment vulnerability to environmental change, with a focus on quantifying the sensitivity and resilience of river basins under changing hydro-climatic conditions. This work strengthened my interest in data-driven hydrological analysis and large-scale environmental assessment.
My current research focuses on developing a comprehensive physio-climatic catchment characteristics database for the Indian subcontinent to support hydrological prediction in ungauged basins (PUB), regionalization studies, drought assessment, and large-sample hydrology applications. I am also interested in understanding how climate variability, socio-economic development, and landscape alterations influence streamflow dynamics and catchment response.
My expertise includes geospatial data processing, remote sensing, hydrological modeling, drought analysis, statistical computing, and reproducible environmental research. I work extensively with R and open-source geospatial tools to develop scalable workflows for environmental data analysis and decision support. I actively seek interdisciplinary collaborations that combine hydrology, climate science, geospatial technologies, and data-driven modeling approaches.
Current Research Topics
- Development of a physio-climatic catchment characteristics dataset for Indian river basins.
- Catchment vulnerability assessment under climate and environmental change.
- Prediction in ungauged basins using regionalization and machine learning approaches.
- Large-sample hydrology and comparative catchment analysis.
- Hydrological and agricultural drought monitoring, forecasting, and risk assessment.
- Impacts of climate variability and socio-economic development on streamflow response.
- Geospatial and remote sensing applications in water resources management.
Skills
| Category | Expertise |
|---|---|
| Research Areas | Computational Hydrology, Water Resources Engineering, Drought Analysis, Hydrological Modeling, Catchment Regionalization, Climate Change Impact Assessment, Geospatial Analytics |
| Programming | R, Python, MATLAB |
| Geospatial Tools | QGIS, GDAL, Google Earth Engine (GEE) |
| R Ecosystem | tidyverse, terra, sf, stars, data.table, tidymodels, RMarkdown |
| Data & Modeling | Statistical Analysis, Machine Learning, Hydrological Forecasting, Time-Series Analysis, Reproducible Research |
| Remote Sensing | Sentinel, Landsat, Climate Reanalysis Data, Geospatial Data Processing |