Computer Science · AI Governance · Privacy
Subhashis Banerjee
Professor, Department of Computer Science · Ashoka University
Centre for Digitalisation, AI, and Society
Working on verifiable architectures for privacy, security, safety, and proportionality analysis of large public-service digital and AI systems; trustworthy AI; computer vision and machine learning.
About
Subhashis Banerjee is a professor of computer science at Ashoka University, Sonipat, India.
He was with the Department of Computer Science and Engineering at IIT Delhi from 1990 till August 2023 — on leave at Ashoka University from June 2021 to May 2023 before moving there permanently. At IIT Delhi he held the Ministry of Urban Development, Microsoft, and Naren Gupta chair professorships; headed the Department of Computer Science between 2004–2007 and the Computer Services Centre between 2009–2014; and was associated with the School of Public Policy and the Centre for Transportation Research and Injury Prevention.
His primary research areas are computer vision and machine learning, with a particular emphasis on geometric algorithms. He has served on the editorial boards of the International Journal of Computer Vision and Computers & Graphics, and has been an academic visitor to universities and research laboratories around the world. He has also worked extensively on computing and networking infrastructure, building one of the country's largest supercomputing facilities at IIT Delhi.
More recently, his interests have turned to policy questions in digitalisation and society — digital identity, electronic voting, data and privacy protection, and the fairness and reliability of machine learning systems.
- Education
- Ph.D., Indian Institute of Science, Bengaluru (1989)
- Earlier degrees
- M.E., IISc (1984) · B.E. Electrical Engg., Jadavpur University (1982)
- Affiliation
- Dept. of Computer Science, Ashoka University, Sonipat, Haryana
- Previously
- IIT Delhi, Dept. of Computer Science and Engineering (1990–2023)
Recent research
Five active threads, each with a running publication list. Tap a heading to expand it, or jump straight to one below.
Courses
Current course(s)
Courses taught
Commentaries
Op-eds, essays and interviews on AI, privacy, elections and public policy — newest first.