Balaraman Ravindran
Balaraman Ravindran studies how an AI system can learn through interaction. His research includes abstraction in reinforcement learning and questions about responsible AI. Ravindran earned a doctorate at the University of Massachusetts Amherst in 2004. His thesis studied an algebraic approach to abstraction in reinforcement learning. He served as an assistant professor of computer science and engineering at IIT Madras from February 2004 to March 2009.
- Now at
- IIT Madras
- Works
- 378
- Citations
- 5,201
- h-index
- 40
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2004
A doctorate on abstraction
Ravindran earned a doctorate at the University of Massachusetts Amherst in 2004. His thesis studied an algebraic approach to abstraction in reinforcement learning.
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2004–2009
Teaching and research at IIT Madras
He served as an assistant professor of computer science and engineering at IIT Madras from February 2004 to March 2009.
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2023–2025
AI governance work
He chaired a subcommittee that developed AI governance guidelines from 2023 to 2025. He pursued this policy work alongside his technical research.
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2025
Research recognition
AAAI elected Balaraman Ravindran as a Fellow in 2025.
Sources and credits
Photo: wsai.iitm.ac.in; Balaraman Ravindran profile photograph; creator not stated. License: Not stated by source. Source: wsai.iitm.ac.in. Cropped to a square and resized. Ask us to remove or replace this photo.