Hi there! I'm Subhankar
I'm a Computer Science Ph.D. candidate at the University of Minnesota, Twin Cities.
I am advised by Professor Shashi Shekhar and am a member of the Spatial Computing Research Group. I also work with Professor Aneesh Subramanian.
I am a Graduate Assistant at iHARP, where we aim to reduce uncertainty in geospatial forecasting using Generative and Multimodal AI.
Upcoming Events
Past Work and Events
- I was an Applied Scientist Intern at Amazon (Bellevue, WA) during Summer 2025, where I developed Generative AI and Multimodal Fusion methods for Anomaly Detection in the Amazon Science Geospatial Team.
- I was a Research Intern at the Oak Ridge National Laboratory during Spring 2025, where I worked with Vision Transformers and Diffusion Models for Super-resolution tasks.
- I was a Student Organizer for the Scientific Modeling out of distribution (Scientific-Mood) ML Challenge and workshop.
- I co-organized the 2025 NSF HDR Machine Learning Challenge on Anomaly Detection. Pre-print of the paper describing the Anomaly Detection Challenge is out now. Check out our AAAI Workshop on Anomaly Detection in Scientific Domains.
- Recently, I worked on spatial pattern mining, including regional and taxonomy-aware co-location patterns with statistical guarantees.
Current Projects
- Spatial variability-aware super-resolution of geospatial variables using Generative Models
- Adaptive Geospatial Model Fusion strategies
- Spatio-temporal Anomaly Detection in geospatial variables
- Causal Discovery of factors influencing geospatial variables