WANG Hai
Full-time Faculty
Associate Professor of Information Systems
School of Computing and Information Systems
SCIS
Qualification
- PhD, Massachusetts Institute of Technology, 2015
Teaching Topics
- Computer as Analysis Tool
- Decision Making under Uncertainty
- Smart City Operations Research
- Big Data and Entrepreneurship: Methodology and Case Studies
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsWANG Hai is an internationally recognized scholar in smart cities, innovative transportation, and data-driven optimization, whose research and teaching have significantly advanced urban systems, mobility, and logistics through impactful analytics and AI-driven methodologies.
Integrates advanced optimization, machine learning, and behavioral analytics to address real-world challenges in urban mobility, logistics, and healthcare; recognized for bridging methodological innovation with practical deployment; recipient of multiple best paper and teaching awards; influential in shaping research and practice through editorial, advisory, and collaborative leadership roles.
Focused research areas include Optimization and analytics for urban mobility and logistics; ride-sourcing and on-demand services; shared transportation platforms; data-driven decision-making in smart cities; predictive analytics for healthcare and intensive care units; fairness and behavioral modeling in platform economies.
Integrates advanced optimization, machine learning, and behavioral analytics to address real-world challenges in urban mobility, logistics, and healthcare; recognized for bridging methodological innovation with practical deployment; recipient of multiple best paper and teaching awards; influential in shaping research and practice through editorial, advisory, and collaborative leadership roles.
Focused research areas include Optimization and analytics for urban mobility and logistics; ride-sourcing and on-demand services; shared transportation platforms; data-driven decision-making in smart cities; predictive analytics for healthcare and intensive care units; fairness and behavioral modeling in platform economies.
Areas of Expertise
Analytics & OptimizationData-Driven Decision-MakingSmart City & TransportationOn-Demand Service
Past Awarded Grant
- Human workers and resource allocation optimization, Singapore-MIT Alliance for Research and Technology (SMART), PI (Project Level): WANG Hai, 2024, S$338,000
- Data-driven Optimisation and Artificial Intelligence for Future Fintech, Tokka Labs Pte Ltd, PI (Project Level): WANG Hai, 2023, S$156,000
- Optimal Personalised Medical Intervention Using Predictive Information in ICUs, Academic Research Fund (AcRF) Tier 2, Ministry of Education (MOE), PI (Project Level): ZHENG Zhichao Daniel, Co-PI (Project Level): WANG Hai, 2019, S$620,532
- Optimizing Driver Incentives through Understanding Driver Behavior, Xiaoju Science and Techonology (Hongkong) Limited, PI (Project Level): WANG Hai, 2017, S$10,000
- Deploying Mobile Crowdsourcing Emergency Supplies to Improve Emergency Response Times, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): WANG Hai, Co-PI (Project Level): CAO Zhiguang, 2024, S$50,000
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- H Sun, J Zhao, H Yang, S Wang, H Balakrishnan, T Malone, H WangService Science, https://doi.org/10.1287/serv.2025.0153, 2026
- H Zhou, H Wang, H Wang, J Qi, Y YangTransportation Research Part B: Methodological 204, 103379, 2026
- M Kong, A Qu, X Guo, W Ouyang, C Jiang, H Zheng, Y Ma, D Zhuang, ...arXiv preprint arXiv:2510.18428, 2025
- JP Wang, H Wang, P Liu, HJ HuangTransportation Research Part B: Methodological 199, 103266, 2025
- J Liang, Y Zhao, H Wang, L Yang, J KeTransportation Research Part A: Policy and Practice 198, 104515, 2025
- K Zhang, J Ke, H Wang, Y YinTransportation Research Part C: Emerging Technologies 174, 105069, 2025
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, Massachusetts Institute of Technology, 2015
Teaching Topics
- Computer as Analysis Tool
- Decision Making under Uncertainty
- Smart City Operations Research
- Big Data and Entrepreneurship: Methodology and Case Studies