Sanjay Purushotham
Associate Professor · Tenured
Department of Computer Science and Electrical Engineering Department of Information Systems
About
Sanjay Purushotham is an Associate Professor in the Department of Information Systems and an affiliate Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County (UMBC). Before joining UMBC, he was a Postdoctoral Scholar Research Associate in the Department of Computer Science and Integrated Media Systems Center (IMSC) at the University of Southern California (USC). He obtained his PhD in Electrical Engineering from USC. His research interests are in artificial intelligence, machine learning, computer vision, data mining, federated learning, statistics, and their applications to scientific domains such as health & medical sciences; earth, polar, climate, and space sciences; multimedia data sciences, and cybersecurity.
Research interests
Machine Learning, Artificial Intelligence, Deep Learning, Federated Learning, Generative AI, Multi-agent Systems, Agentic AI, AI Agents, Data Mining, Data Science, Computer Vision, Machine Learning for Health, Quantum Computing, Medical Imaging, Explainable Artificial Intelligence, Interpretable Machine Learning, Knowledge Graphs, Large Language Models, Climate Informatics, Health Informatics, Multimedia data mining
Education
- Ph D, Electrical Engineering — University of Southern California (2015)
- MS, Electrical Engineering — University of Southern California (2014)
- Other, Electronics and Communications Engineering — National Institute of Technology Karnataka (2007)
Publications
- XCheck: A Consistency-Based Validation Framework for Englacial Layers Annotations 2025
- Influence of the Three-dimensional Radiative Effects on Cloud Droplet Number Concentration Retrievals and their impacts on Aerosol Cloud Interaction Analysis
Presentations
- ASSESSING ANNOTATION ACCURACY IN ICE SHEETS USING QUANTITATIVE METRICS 2024