Ling Chun Kai

Ling Chun Kai is a Sung Kah Kay Assistant Professor at the National University of Singapore, Department of Computer Science. His research areas include Artificial Intelligence, Decision Making & Planning, Machine Learning, Multi-Agent Systems & Algorithmic Game Theory, Algorithms & Theory, Algorithmic Game Theory, and Optimisation. His research interests focus on Computational Game Theory, Machine Learning and Optimization for Multi-agent Systems, and Applications of Game Theory. He has been recognized with the IJCAI 2018 Distinguished Paper Award, GameSec 2023 and 2024 Best Paper Awards, and the Singapore Teaching and Academic Research Talent Scheme (2024). He teaches courses such as CS4246 AI Planning and Decision Making, CS5446 AI Planning and Decision Making, and CS6208 Advanced Topics in Artificial Intelligence.

Chun Kai Ling is a researcher at the National University of Singapore specializing in Artificial Intelligence and Machine Learning. His work focuses on developing advanced frameworks for modeling interactions in multimodal data, learning in game-theoretic settings, and optimizing decision-making processes. Ling's research includes information decomposition, extensive-form game strategies, and Bayesian optimization techniques. He has explored applications in survival analysis, copula-based modeling, and constrained joint generation. His contributions span theoretical advancements and practical implementations in areas such as reinforcement learning, active learning, and rational agent behavior. Ling's publications highlight his commitment to improving learning algorithms and understanding complex interactions in data-driven systems.