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 sea level rise predictions from ice sheet melt.
I co-organized the 2025 NSF HDR Machine Learning Challenge on Anomaly Detection.
Pre-print of the paper describing the Anomaly Detection Challenge.
Check out our AAAI Workshop on Anomaly Detection in Scientific Domains.
Upcoming Events
- I will join Oakridge National Laboratory as a Research Intern in Spring 2025.
I am excited to be working on Diffusion models for forecasting. - I will join Amazon (Bellevue, WA) as an Applied Scientist Intern in Summer 2025.
Current Projects
- Spatial variability-aware downscaling of climate variables using Generative Models
- Adaptive Climate Model Combination strategies
- Spatio-temporal Anomaly Detection in climate variables
- Causal discovery of factors influencing climate variables
Past Work and Events
- Recently, I worked on spatial pattern mining, including regional and taxonomy-aware co-location patterns, and statistical techniques to reduce false discoveries.
- Released the Pan-HDR Machine Learning Challenge on Spatio-temporal Anomaly Detection at the 2024 NSF HDR Ecosystem Conference.