The Machine Intelligence, Learning, Automation and Privacy (MILAP) group carries out research in algorithms and guarantees for sequential decision-making and learning under uncertainty with a focus on preserving data privacy. Our current focus includes:
Privacy-Preserving Machine Learning
Sequential Decision Making under Uncertainty
Language Model Optimization
Quantum Machine Learning
See our Publications for more details.
Funded Projects:
Research: Privacy-Preserving AI Algorithms. Funded by Anusandhan National Research Foundation (ANRF)
R&D: Forecasting Models and Predictive Maintenance in the Energy Sector. Funded by Airawat Research Foundation (jointly with Prof. Nitin Saxena)
Openings:
1 JRF position in Privacy-Preserving AI Algorithms
Multiple PhD student positions in Language Model Optimization and Sequential Decision Making under Uncertainty
Team:
Convener: Sayak Ray Chowdhury
PhD Students:
Rohit Kumar (2025-present). Jointly advised with Prof. Adithya Vadapalli
Pankaj Bhanu ( 2025-present). Jointly advised with Prof. Nitin Saxena
Virendra Nishad (2025-present). Jointly advised with Prof. Sandeep Kumar Shukla
Master's Thesis Students:
Milan Roy (2024-2026)
Harshkumar Kakadiya (2024-2026)
Imran Shaik (2024-2026)
Sushant Gangurde (2024-2026)
Sagar Kumar (2024-2026)
Chandrabhan (2024-2026)
Undergraduate Students (with close research work):
Arqam Patel (SDS, graduated 2025)
Kapu Nirmal Joshua (EE, Graduated 2025)
Funding:
(2025 - 2027) Early Career Research Grant from Anusandhan National Research Foundation (ANRF), INR 72 lakhs
(2025) Unrestricted Research Gift from Adobe Research, USD 15,000
Collaborators:
Prof. Xingyu Zhou, Wayne State University, USA
Prof. Avishek Ghosh, IIT Bombay, India
Prof. Ilija Bogunovic, University College London, UK
Prof. Aditya Gopalan, IISc Bangalore, India
Dr. Soumyabrata Pal. Adobe Research, India