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Bio
Shih-Fen Cheng is a Principal Research Scientist at Amazon, working on optimizing delivery experience and logistics operations for Amazon Japan. He is also an Associate Professor of Computer Science (on leave) 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.
News
 Congrats to my PhD students Qian Shao and Pang-Jin Tan for being awarded the prestigious SMU Presidential Doctoral Fellowship in the Academic Year 2024/2025.- Our paper, "Long-term mine planning: A survey of classical, hybrid and artificial intelligence based methods," (with Nurul Asyikeen Binte Azhar, Aldy Gunawan, and Erwin Leonardi), is accepted at the Asia-Pacific Journal of Operational Research.
- Our paper, "Comparison of evolutionary algorithms: A case study on the multi-objective carbon-aware mine planning," (with Nurul Asyikeen Binte Azhar, Aldy Gunawan, and Erwin Leonardi), is accepted at the 20th IEEE International Conference on Automation Science and Engineering (CASE-24).
- Our paper, "Enabling sustainable freight forwarding network via collaborative games," (with Pang Jin Tan and Richard Chen), is accepted at the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24).
- Our paper, "Imitating cost-constrained behaviors in reinforcement learning," (with Qian Shao and Pradeep Varakantham), is accepted at the 34th International Conference on Automated Planning and Scheduling (ICAPS-24).
- Received a two-year research grant on "Enabling Sustainable Point-to-Point Transport Service via Behavioral Game Theory" from the SMU Urban Institute.
- Our paper, "M2-CNN: A macro-micro model for taxi demand prediction," (with Prabod Rathnayaka), is accepted at 2023 IEEE International Conference on Big Data.
- Interviewed by Business Times: Rising private-hire car population, surging trips a roadblock to Singapore's car-lite goal?
- Interviewed by Business Times: Turning point for the taxi industry?
- My PhD student, Qian Shao, has been awarded the 2023 SMU Presidential Doctoral Fellowship.
- 3 papers accepted at AAMAS-2023:
- Our paper, "Neighborhood retail amenities and taxi trip behavior: A natural experiment in Singapore," (with Kwan Ok Lee), is accepted at Habitat International.
- Our paper, "The Impact of Ride-Hail Surge Factors on Taxi Bookings," (with Sumit Agarwal, Ben Charoenwong, and Jussi Keppo), is accepted at Transportation Research Part C.
- Received a three-year research grant on "Learning by Doing in the Age of Big Data" from the MOE Social Science Research Thematic Grant.
- My PhD student, Chung-Kyun HAN, has been awarded the 2020 SMU Presidential Doctoral Fellowship.
- Commentary: Shortening the waiting time for your cab with a driver guidance system, Channel News Asia.
- Our Driver Guidance System has been reported by the Straits Times, The New Paper, and the Channel 8 News.
- Podcast@SMU: Improving Taxi Fleet Efficiency in Singapore
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