I am an Associate Professor in the Department of Computer science at the University of Toronto and a faculty affiliate at Vector Institute.
Prior to moving to Toronto, I held NUS Presidential Young Professorship (at the rank of Assistant Professor) in the School of Computing at the National University of Singapore.
I am a receipient of 2019 NRF Fellowship for AI (accompanied with SGD 2.6 million funding), ACP 2022 Early Career Researcher Award, and was named
AI's 10 to Watch
by IEEE Intelligent Systems in 2020. I love teaching, and I am proud to be recipient of
university-level Teaching Excellence Awards at NUS in 2022 and 2023.
A longer version of bio is available here.
My primary research interest is in automated reasoning. The long term vision of my
research program's is to advance automated reasoning techniques to
enable computing to deal with increasingly uncertain real-world environments.
The core theme of my research program is the quest for scalability.
Accordingly, our work straddles theory and practice, and draws upon ideas from
randomized algorithms, statistical inference, formal methods, distribution testing, and software
engineering.
Given the broad nature of the field of automated reasoning, my research group's work spans
multiple traditional subfields of computer science,
reflected by publication record as well as recognition in
artificial intelligence (AAAI: 17×, IJCAI:13×, NeurIPS: 6×),
formal methods (CAV: 7×, CP: 8×, SAT: 6×, TACAS:3×),
design automation (ICCAD: 2x, DATE: 2x, DAC: 1x),
and logic/databases (PODS: 4x, ICALP:1x, LPAR:4x, LICS: 2x).
In short, a research group that is not bound by (traditional) borders.
Check out Research Statement (last updated: Dec 2021) and publications for more details.
Our research group is still growing. Check out Open Positions.
External Funding: National Research Foundation, AI Singapore, Grab NUS AI Lab, Microsoft Research Asia, Ministry of Education, Defense Service Organization
Personal: I am married to fellow computer science professor
Suguman Bansal. Some more info:
here and
here