HighlightsThese highlights are AI-generated using the faculty's CV and Google Scholar profile
Shih-Fen Cheng is an internationally recognized expert in agent-based modeling, urban transportation systems, and large-scale optimization, with impactful research and leadership in computational methods for smart cities, market-based resource allocation, and behavioral analytics.
Bridges methodological innovation in agent-based and optimization models with real-world applications in urban mobility, logistics, and smart cities; recognized for impactful, award-winning solutions in taxi guidance, crowdsourcing, and sustainable logistics; strong emphasis on behavioral analytics, data-driven policy, and industry collaboration; extensive leadership in research labs and interdisciplinary projects.
Focused research areas include Agent-based and data-driven models for urban mobility and transportation; computational methods for market-based resource allocation; behavioral analytics in crowdsourcing and logistics; optimization in smart city and urban systems; reinforcement learning and game-theoretic approaches for resource allocation and planning.
Bridges methodological innovation in agent-based and optimization models with real-world applications in urban mobility, logistics, and smart cities; recognized for impactful, award-winning solutions in taxi guidance, crowdsourcing, and sustainable logistics; strong emphasis on behavioral analytics, data-driven policy, and industry collaboration; extensive leadership in research labs and interdisciplinary projects.
Focused research areas include Agent-based and data-driven models for urban mobility and transportation; computational methods for market-based resource allocation; behavioral analytics in crowdsourcing and logistics; optimization in smart city and urban systems; reinforcement learning and game-theoretic approaches for resource allocation and planning.
Areas of Expertise
OptimizationArtificial IntelligenceBehavioral Game TheoryTransportation & Logistics
Past Awarded Grant
- Investigating the Psychology of Consumer-AI Interaction for the Design and Development of AI-based Products and Services, Academic Research Fund (AcRF) Tier 2, Ministry of Education (MOE), PI (Project Level): Hannah H. CHANG, Co-PI (Project Level): Michelle P LEE, 2022, S$388,297
- Not for Girls ?: Gender Imbalance in STEM and Its impact on Female Students' Creative Performance, Tertiary Education Research Fund (TRF), Ministry of Education (MOE), PI (Project Level): CHENG Chi-Ying, Co-PI (Project Level): CHENG Shih-Fen, LEE Yeow Leong, RAMACHANDRA RAO Vandana, 2021, S$192,673
- Learning by Doing in the Age of Big Data, The Social Science Research Thematic Grant, Ministry of Education (MOE), PI (Project Level): CHENG Shih-Fen, 2021, S$579,318
- Smart Barrier-Free Access (SMARTBFA) v2, Mercurics Pte Ltd, PI (Project Level): CHENG Shih-Fen, Co-PI (Project Level): TAN Hwee Xian, 2021, S$50,000
- Intelligent Taxi Queue Management, Changi Airport Group Pte Ltd, PI (Project Level): CHENG Shih-Fen, 2019, S$200,000
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- Q Shao, T Mai, SF ChengINFORMS Journal on Computing, 2026
- F ZENG, Q SHAO, L CHENG, W GAO, SF CHENG, J MA, C NIU
- YM Kao, Y Yang, SF Cheng, CH WuAnnals of Operations Research 356 (2), 949-983, 2026
- F Zeng, Q Shao, L Cheng, W Gao, SF Cheng, J Ma, C NiuarXiv preprint arXiv:2512.18352, 2025
- SF Cheng, WT Hsu, J LiRegional Science and Urban Economics, 104186, 2025
- Y Tang, SF Cheng, Y Zhu, Y Yang, Z ZouPacific Rim International Conference on Artificial Intelligence, 227-235, 2025
Qualification
- PhD, University of Michigan, 2006
Teaching Topics
- Computer as Analysis Tool
- Electives in Intelligent Decision Support Systems Area
