Scholar
Sriram Ganapathi Subramanian
Google Scholar ID: O2jvQAYAAAAJ
Carleton University
Citations & Impact
Citations
1,357
H-index
13
i10-index
15
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Winner of the Canadian AI Association (CAIAC) Best Doctoral Dissertation Award in 2023. Participated in the Vector Postgraduate Affiliate program during his Ph.D.
Research Experience
- Currently an Assistant Professor in the School of Computer Science at Carleton University, holding a Canada Research Chair (Tier II) in Artificial Intelligence. Also, a Faculty Affiliate at the Vector Institute for Artificial Intelligence and the Schwartz Reisman Institute for Technology and Society in Toronto. During his postdoc, he collaborated with companies like Microsoft, Royal Bank of Canada (Borealis AI), Denso International America, Environmental Systems Research Institute (ESRI), and the Bank of Montreal. He has also consulted for various early-stage AI startups.
Education
- Ph.D. from the Department of Electrical and Computer Engineering at the University of Waterloo, advised by Professors Mark Crowley and Kate Larson. Postdoctoral Fellow at the Vector Institute for Artificial Intelligence, supervised by Professor Pascal Poupart and Professor Sheila McIlraith.
Background
- His lifetime research goal is to understand the principles of intelligence well enough to create or become beings of greater intelligence. His main focus is on studying the learning behaviors of autonomous decision-making agents in multi-agent systems, addressing issues like scale, non-stationarity, effective communication, safety, and sample inefficiency. His work lies at the intersection of reinforcement learning and game theory, aiming to bridge the gap between theoretical understanding and empirical advances in multi-agent reinforcement learning (MARL) and make MARL algorithms deployable in large-scale real-world problems. He is interested in applications of RL and MARL in areas such as large language models (generative AI), AI safety, robotics, finance, health, environment, recommender systems, and autonomous driving. His research often draws from the 'Alberta Plan for AI Research'.
Miscellany
- Passionate about increasing equity and diversity across all levels in institutions of higher learning. Currently a mentor at the IBET PhD Project. Reserves a few hours every week for pro bono office hours to advise Canadian companies, startups, and non-profits on integrating AI/ML into their products or offerings.
Co-authors