HighlightsThese highlights are AI-generated using the faculty's CV and Google Scholar profile
Hoong Chuin Lau is a globally recognized expert in applied optimization, AI planning, and analytics for logistics, urban management, and combinatorial decision-making, with pioneering contributions bridging artificial intelligence and operations research.
Integrates AI, operations research, and quantum-inspired methods to solve real-world logistics, urban management, and resource allocation challenges; advances methodological innovation in combinatorial optimization, reinforcement learning, and privacy-aware analytics; delivers practical impact through industry collaborations, large-scale grants, and deployment in healthcare, defence, and urban systems; recognized for leadership in academic service and editorial roles.
Focused research areas include Optimization and analytics for logistics and urban management; AI-driven planning and scheduling; multi-agent and autonomous systems; combinatorial and quantum-inspired algorithms; reinforcement learning for dynamic resource allocation; privacy and efficiency in crowdsourcing and urban mobility; robust and risk-aware decision-making under uncertainty.
Integrates AI, operations research, and quantum-inspired methods to solve real-world logistics, urban management, and resource allocation challenges; advances methodological innovation in combinatorial optimization, reinforcement learning, and privacy-aware analytics; delivers practical impact through industry collaborations, large-scale grants, and deployment in healthcare, defence, and urban systems; recognized for leadership in academic service and editorial roles.
Focused research areas include Optimization and analytics for logistics and urban management; AI-driven planning and scheduling; multi-agent and autonomous systems; combinatorial and quantum-inspired algorithms; reinforcement learning for dynamic resource allocation; privacy and efficiency in crowdsourcing and urban mobility; robust and risk-aware decision-making under uncertainty.
Areas of Expertise
AI for Social GoodData-Driven OptimizationTransportation and LogisticsQuantum Optimization
Past Awarded Grant
- Acute workforce response to "Demand pulled", patient lifecycle data via Generative Flow Networks and Graph Neural Networks, AI Singapore 100 Experiments, AI Singapore , PI (Project Level): LAU Hoong Chuin, 2023, S$410,280
- Next generation roster management via reinforcement learning, AI Singapore 100 Experiments, AI Singapore , PI (Project Level): LAU Hoong Chuin, 2022, S$419,050
- Optimizing Supply Chain Resilience with Quantum Sampling, National Research Foundation (NRF) , PI (Project Level): LAU Hoong Chuin, 2022, S$300,000
- CUDO Customization and Integration, Y3 Technologies Pte Ltd , PI (Project Level): LAU Hoong Chuin, 2021, S$150,000
- Supply Chain Risk Resiliency Project for Supply Assurance/Procurement and Logistics, IBM Manufacturing Solutions Pte Ltd , PI (Project Level): LAU Hoong Chuin, 2021, S$104,780
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- X Lee, X Yan, N Xie, Y Saito, L Kurosawa, N Asai, D Cai, HC LauScientific Reports, 2026
- Learning-Based Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems [2026]M Sharma, HC LauInternational Workshop on Quantum Computing and Artificial Intelligence, 34-49, 2026
- M Sharma, HC LauInternational Workshop on Quantum Computing and Artificial Intelligence, 18-33, 2026
- Autoregressive RL Approach [2026]PM Tang, MH De Lee, HC LauLearning and Intelligent Optimization: 19th International Conference, LION …, 2026
- J Teo, LX Wei, HC LauarXiv preprint arXiv:2511.10756, 2025
- Z Zhang, Y Ma, Z Cao, HC LauarXiv preprint arXiv:2510.22131, 2025
Qualification
- PhD, Tokyo Institute of Technology, 1996
Teaching Topics
- Computational Thinking
- Algorithms and Optimization
- Design and Implementation of Algorithms
- AI Planning and Decision Making
- Advanced Topics in Intelligent Systems
