I am currently a Postdoctoral Research Associate at the University of Wisconsin-Madison, working with the Tellman Lab (PI: Beth Tellman) on a NASA-funded urban flood mapping project. My research sits at the intersection of GeoAI, Earth observation, and geospatial foundation models, leveraging data fusion-capable transformer architectures to enhance flood inundation mapping in complex environments — with additional applications in glacier and glacial-lake monitoring, sea-ice classification, and calving-front delineation. I also contribute to teaching at UW–Madison, including course material for “AI for Sustainability” and “AI for Earth Observation.” Previously, as a Postdoctoral Researcher at The Ohio State University, I developed robust Earth observation methods for large-scale mapping of potential natural (gold) hydrogen sites globally. Using multisource remote sensing data and deep learning, we successfully generated the first-ever global dataset of potential hydrogen sites, which holds significant promise for renewable energy applications and climate change mitigation.

I earned a bi-nationally supervised Doctoral Degree from the Academy of Scientific and Innovative Research and the German Aerospace Center (DLR), Germany. My Ph.D. research focused on developing deep-learning frameworks for mapping glaciers and glacial lakes in the Himalayas, modeling glacial lake outburst floods, and estimating long-term glacier velocities. My broader research interests lie at the intersection of computer vision, remote sensing, and Earth observation, with a particular focus on assessing current and future risks in water resources. My goal is to develop robust Earth observation solutions that map complex Earth features and processes, generating reliable long-term datasets to enhance our understanding of spatio-temporal changes. I hold multiple certifications in Python, Machine Learning, and Linux for scientific computing. I am proficient in remote sensing, machine learning, foundational models, Transformers, Microsoft Office, and data management. Passionate about environmental and social sustainability, I aim to apply my skills and expertise to tackle global challenges. Datasets and model checkpoints from my work are shared on Hugging Face.

Academic Achievements

1. 2025 Young Scientist travel Award to attend Debris Cover Glacier Workshop, ISTA Austria (1000$)
2. 2024 Professional development/travel award: Office of Postdoctoral affair, OSU USA. (700$).
3. 2019 IASC Early Career Scientist travel award for attending ISMASS workshop, Reykjavik. (1500 $).
4. 2019 DAAD-Bi-nationally supervised doctoral degree fellowship (~24000 Euro).
5. 2019 Best poster award “Third” at 5th International YES Congress, Berlin (Certificate and Book).
6. 2019- DST-International Travel Support to attend 5th International YES Congress, Berlin (~1500 $).
7. 2018- Innovation in Science Pursuit for Inspired Research (INSPIRE), DST-India (~13,000 $)

News

1. July 2026: our paper “Beyond Clouds: Global glacial lake mapping combining Sentinel-1 and Sentinel-2 remote sensing data and a geo-foundational model” is now published in Earth System Science Data (ESSD), available here.
2. February 2026: our latest study is now available on IEEE Xplore (official publication version), available here.
3. January 2026: our workshop paper in WACV (CV4EO-Workshop) introduces Prithvi-CAFE for improved flood inundation mapping, available here.
4. January 2026: our workshop paper in WACV (GeoCV-Workshop) presents GLACIA, a multimodal large language model framework for glacial lake segmentation with positional reasoning, available here.
5. November 2025: our preprint on benchmarking geo-foundation models for flood inundation mapping across Sentinel-1, Sentinel-2, and PlanetScope is available here.
6. February 2025: read our new article published in Water Resources Research about declining groundwater storage in the Indus Basin, available here.
7. February 2025: read our new article published in Science of Remote Sensing about improved and consistent GRACE/GRACE-FO data using machine learning, available here.
8. September 2024: read our new article published in Remote Sensing of Environment about the most updated glacial lake inventory in HMA using deep learning, available here.
9. July 2024: read our new article published in Remote Sensing Applications: Society and Environment about increasing glacial lake outburst flood risk in Sikkim, available here.
10. May 2024: joined Social-Pixel Lab at the University of Arizona as a Postdoctoral Research Associate.