Shih-Fen Cheng

Shih-Fen Cheng is an Associate Professor of Computer Science at the Singapore Management University. He received his Ph.D. degree in industrial and operations engineering from the University of Michigan, Ann Arbor, and B.S.E. degree in mechanical engineering from the National Taiwan University.

His research focuses on the modeling and optimization of complex systems in engineering and business domains, with application in the areas of urban computing and human decision-making. He is particularly concerned about the real-world impact of his research, as illustrated by his recent research on taxi and ride-hailing industry. His research outputs and deployed system have received prestigious international awards from CIKM, AAMAS, and INFORMS. He regularly publishes in top AI conferences such as IJCAI, AAAI, and AAMAS; he also publishes widely in journals such as Transportation Science, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Intelligent Transportation Systems, and IIE Transactions. He is long-time members of INFORMS, AAAI, and IEEE, and serves as Senior Editor for Electronic Commerce Research and Applications.

Education

• Ph.D. University of Michigan (2001 — 2006)
• BSE National Taiwan University (1993 — 1997)

Research Interests

• Urban computing and sustainable urban operations
• Mobility-on-demand systems
• Mobile crowdsourcing
• Last-mile logistics
• Agent-based modeling and simulation
• Large-scale optimization models and computational methods

Companies

• Associate Professor of Computer Science Singapore Management University (2015)
• Deputy Director (Research), Fujitsu-SMU Urban Computing and Engineering Corp Lab Singapore Management University (2014 — 2020)
• Assistant Professor of Information Systems Singapore Management University (2006 — 2014)
• Graduate Student Research Assistant University of Michigan (2001 — 2006)
• Research Programmer OLE Technology Corp. (1999 — 2001)

Honors and Awards

• Best Student Paper Award: Integrating Empirical Analysis into Analytical Framework: An Integrated Model Structure for On-Demand Transportation, 2021 INFORMS Conference on Service Science, 2021.
• Finalist, INFORMS Innovative Applications in Analytics Award (IAAA): Driver Guidance System for Taxi Drivers, 2020.
• Lee Kong Chian Fellowship for Research Excellence, Singapore Management University, 2019-2020.
• Best Application Demo: A Driver Guidance System for Taxis in Singapore, Seventeenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18), 2018.
• First Prize, CIKM AnalytiCup: DataSpark Mobility Open-Task Challenge: Predicting Taxi Demand-Supply Mismatches to Dynamically Position Mobility-on-Demand Services, Twenty-Sixth ACM International Conference on Information and Knowledge Management (CIKM-17), 2017.
• Honorable Mention, Best of CSCW Award: Campus-scale mobile crowd-tasking: Deployment and behavioral insights, Nineteenth ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW-16), 2016.
• Lee Kong Chian Fellowship for Research Excellence, Singapore Management University, 2015-2016.
• Finalist, George B. Dantzig Dissertation Award: Game-theoretic Approaches for Complex Systems Optimization, presented by INFORMS, 2007.
• Wilson Prize (best student paper in manufacturing systems): Sampled fictitious play for multi-action stochastic dynamic programs, Department of Industrial and Operations Engineering, University of Michigan, 2005.
• INFORMS Future Academician Colloquium, 2005.
• Rackham Travel Grant, Rackham Graduate School, University of Michigan, 2003, 2004, 2005.
• AAAI Student Scholarship for 18th International Joint Conference on Artificial Intelligence, 2003.
• President's Award (top 5% of the class), National Taiwan University, 1994.