NUSAiL Faculty – NUS AI Lab

NUSAiL Faculty	Sub area 1	Sub area 2	Sub area 3
Leong Tze Yun	Responsible AI	Dynamic decision making	Cognitive modeling
David Hsu	Robotics	Decision making and planning	Human robot interaction
Gim Hee Lee	Computer Vision	Robotics	Machine Learning
Angela Yao	Computer vision	Deep learning
Jonathan Scarlett	Information theoretic methods	Bayesian optimisation and bandits	High dimensional statistical estimation
Ooi Wei Tsang	Edge AI	Human AI Interaction	Systems Support for AI
Wynne Hsu	Deep learning	Knowledge representation	AI in healthcare
Harold Soh	Human Robot Interaction	Machine Learning	Tactile Perception
Low Kian Hsiang Bryan	Machine learning	Planning and decision making	Multi agent/robot systems
Daren Ler	AI Education	AutoML	Meta learning
Lee Wee Sun	Machine Learning	Planning Under Uncertainty	Approximate Inference
Tung Kum Hoe, Anthony	Data Analytics	Unsupervised Learning	Graph Analytics
Lek Hsiang Hui	AI Education
Jungpil Hahn	AI Governance	Applied Machine Learning	Predictive Analytics
Amirhassan Monajemi, Amir	Artificial Neural Networks and Deep Learning	Machine Vision	Fuzzy Logic
Atreyi Kankanhalli	Human AI collaboration	Conversational Agents	Q&A systems
Vaibhav Rajan	Clustering	Data Fusion	Medical Informatics
Akshay Narayan	Reinforcement learning	Transfer learning	Multi agent learning
Reza Shokri	Data Privacy	Trustworthy Machine Learning	Federated Learning
Dong Jin Song	Trusted and Explainable AI	Linking Formal Methods with AI	AI for Sports Analytics
Varun Karamshetty	Demand forecasting	Human Algorithm coordination	Causal inference
Terence Sim	Biometrics	Machine Learning	Computer Vision
Stanley Kok	Representation learning	Relational learning	Natural language processing.
Warut Suksompong	Algorithmic game theory	Computational social choice	Resource allocation
Bryan Hooi	Graphs	Anomaly detection	Robust machine learning
Kewei Huang	Data Mining in Finance	Computational Social Science and	Machine Learning for Finance
Roland Yap	Constraints	Knowledge Representation	Solvers
Goh Khim Yong	Causality in Machine Learning	Economics of AI	Human Centred AI Solutioning
Shao Lin	Decision Making & Planning	Machine Learnin	Robotics
Xavier Bresson	Machine Learning	Graph Neural Networks	Sparse Convex Optimization

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