Scholar
Pradeep Varakantham
Google Scholar ID: BAdQpFkAAAAJ
Professor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing and
Citations & Impact
Citations
2,078
H-index
22
i10-index
50
Publications
20
Co-authors
40
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Four papers accepted at AAAI, demonstrating state-of-the-art performance and generalization in Constrained RL
- Best Application Paper Award at ICAPS 2019 for high-capacity real-time ride-sharing
- Awarded Ministry of Education Tier 2 Grant (2017–2019) for 'Moving Beyond Data Insights: Optimizing Dynamics in Safety and Security Networks'
- Received grants from Singapore’s Ministry of Home Affairs on safety and security (2016–2018)
- Principal investigator of a ~6.1 million SGD grant on 'Trustworthy AI for Training Non-Expert Humans'
- Leading a ~1.2 million SGD project on 'Collaborative AI for Situated Assistance', focusing on multi-agent robust decision making
- Two papers accepted in JAIR on regret minimization in uncertain MDPs and sequential matching in bike-sharing systems
- PhD student Meghna Lowalekar won Best Dissertation Award at ICAPS 2022
- Elected to the IFAAMAS Board
- Invited Early Career Spotlight talk at IJCAI-16
- Awarded Lee Kong Chian Fellowship in 2016
- School received Strategic Partner Award from Singapore Civil Defense Force for deployed DRO system
- Serves on the Scientific Committee of AISingapore
- Multiple students awarded SMU Presidential Doctoral Fellowships (e.g., Supriyo Ghosh, Tanvi Verma, Meghna Lowalekar, Dexun Li, Wenjun Li, Changyu Chen)
- Best Demo Award at AAMAS 2018
Research Experience
- Professor at the School of Computing and Information Systems, Singapore Management University
- Leads the CARE.AI lab with members Akshat Kumar, Arunesh Sinha, and Mai Anh Tien
- Visiting faculty at Harvard Teamcore research group in early 2024
- Visiting researcher with Google's AI for Social Good team
- Leading efforts on multi-agent robust decision making
Background
- Professor of Computer Science at Singapore Management University
- Lee Kuan Yew Fellow
- Head of the CARE.AI research lab
- Research focuses on collaborative and trustworthy intelligent agent systems, currently emphasizing trustworthy Reinforcement Learning
- Previous work centered on sequential dynamic matching of supply and demand via reinforcement learning and multi-stage stochastic optimization to improve quality-of-life metrics
- Applications span urban domains including Transportation, Emergency Response, Entertainment, Energy, and Security
- Research sits at the intersection of Artificial Intelligence, Operations Research, Machine Learning, and Behavioral Economics
