Saurabh Kaushik

I am a Postdoctoral Research Associate at the University of Wisconsin–Madison, working with the Tellman Lab (PI: Beth Tellman) and the Schneider Lab (PI: Annemarie Schneider). My research sits at the intersection of GeoAI, Earth observation, and geospatial foundation models (GFMs) — with applications spanning flood inundation mapping, glacier and glacial-lake monitoring, sea-ice classification, calving-front delineation, and large-scale satellite data pipelines.

Previously, I was a Postdoctoral Researcher at The Ohio State University, where I developed Earth observation methods for global mapping of natural (gold) hydrogen sites using multisource remote sensing and deep learning. I earned my bi-nationally supervised PhD from the Academy of Scientific and Innovative Research and the German Aerospace Center (DLR), Germany, focusing on deep-learning frameworks for mapping Himalayan glaciers and glacial lakes, modeling glacial-lake outburst floods, and estimating long-term glacier velocities.

My broader research agenda is to build robust, scalable Earth observation systems that convert petabytes of multi-sensor satellite imagery — Sentinel-1/2, Landsat, NISAR, PlanetScope — into reliable long-term datasets for assessing risks in water resources, the cryosphere, and climate adaptation. I am actively pursuing faculty positions and senior research scientist roles.

I also contribute to teaching at UW–Madison, including course material for “AI for Sustainability” and “AI for Earth Observation.”