Kavya Agrawal

My work sits at the intersection of groundwater science, remote sensing, GIS, artificial intelligence, environmental health, and policy-oriented spatial analysis.

I am particularly interested in developing scalable frameworks that integrate hydrogeochemical observations, remotely sensed datasets, climatic variables, terrain characteristics, land-use information, and socio-environmental indicators to model groundwater contamination across India.

My doctoral research focuses on building adaptable geospatial AI frameworks for predicting contamination probability, understanding environmental controls, assessing uncertainty, and translating model outputs into exposure and governance-relevant indicators.

Seeking Opportunities

I am actively interested in interdisciplinary research and training opportunities in groundwater contamination, cryospheric sciences, remote sensing, environmental health, climate systems, and geospatial policy analysis.

Beyond groundwater contamination modelling, I am deeply interested in interdisciplinary approaches connecting hydrogeology, cryospheric studies, environmental history, archaeology, climate systems, and spatial decision-making.