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Team

Interested in joining? Contact Dr. Avisek Gupta directly.

Principal Investigator

Avisek Gupta

Avisek Gupta

Principal Investigator

Since 2021

Avisek Gupta is a machine learning researcher focused on unsupervised and weakly supervised learning, particularly how low-effort expert supervision can guide statistical models. His recent projects span Alzheimer’s disease classification, audio speaker identification, and multi-agent coalition formation. He earned his Ph.D. in Computer Science from the Indian Statistical Institute (ISI), Kolkata, in 2021. Dr. Gupta recently served as a Postdoctoral Fellow at IAI (2022–2025), where he taught Deep Learning, Machine Learning, and Statistics, and previously worked as a Visiting Scientist at ISI Kolkata. He is also an instructor and advisory committee member for ISI Kolkata’s annual Winter School on Deep Learning

Unsupervised Supervised Learning Weakly Supervised Learning Multiple Kernel Transfer Clustering
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PhD Student

Subhajit Saha

Subhajit Saha

PhD Student

Since 2023

I am a Ph.D. researcher working in Reinforcement Learning. My research interests include Multi-Agent Reinforcement Learning, Deep Reinforcement Learning, and applications to real world problems. I am interested in developing intelligent decision-making systems through principled learning and optimization methods.

Reinforcement Learning Multi-Agent System
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