milap LAB

The Machine Intelligence, Learning, Automation, and Privacy (MILAP) lab conducts research on 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. 

Openings:

• Multiple PhD student positions in Language Model Optimization and Sequential Decision Making under Uncertainty

PhD Students:

• Rohit Kumar (2025-present). Jointly with Prof. Adithya Vadapalli  

• Virendra Nishad (2025-present)

• Purushottam Kumar (2025-present)

Master's Thesis Students:

• Milan Roy (2024-2026)

• Harshkumar Kakadiya (2024-2026) 

• Imran Shaik (2024-2026)

• Sushant Gangurde (2024-2026)

• Sagar Kumar (2024-2026)

Undergraduate Students (with close research work):

• Arqam Patel (SDS, IITK, graduated 2025, Now at the University of British Columbia)

• Kapu Nirmal Joshua (EE, IITK, Graduated 2025, Now at Amazon)

• Nishant Pandey (EE, IITK)

• Dhruv Sarkar (CSE, IITKgp)

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