FENG Guiyun
Full-time Faculty
Assistant Professor of Operations Management; Urban Fellow, SMU Urban Institute
Lee Kong Chian School of Business
LKCSB
Education
2018 |
Ph.D. in Industrial and Systems Engineering |
2014 |
Ph.D. in Management Science |
2010 | B.S. in Physics University of Science and Technology of China, Hefei, China |
Current Appointment
Jan 2019 - Now |
Assistant Professor of Operations Management |
Awards, Recognition and Honors
- Urban Fellow within the "Urban Growth" pillar, SMU, 2023
- SMU Most Promising Teacher Award Nomination, 2022
- Ministry of Education (MOE) Tier 1 Grant, 2022
- LKCSB Dean's Teaching Honour List, 2021 & 2022
- The CSAMSE Annual Conference Best Paper Award, Honorable Mention, 2017
- Sponsorship from Amazon.com Inc for Grace Hopper Celebration of Women in Computing, 2017
- Scholarship for Study Abroad Program, City University of Hong Kong, 2014
Research Interests
- Digital Economy
- Smart Transportation
- Supply Chain Management
- Project Portfolio Management
Papers under Review
- Taxis on Ride-Hailing Platforms: Managing On-Demand Urban Mobility Ecosystems (with Liling Lu, Xin Fang and Sergei Savin).
- Expanding Platform Capacity Through Asset Rental Programs: Design and Implications (with Ioannis Bellos and Deyin Ji).
- R&D Project Portfolio Collaboration: How to Structure the Strategic Alliance? (with Pascale Crama and Wenqi Lian).
Selected Journal Articles (Refereed)
- We Are on the Way: Analysis of On-Demand Ride-Hailing Systems (with Guangwen Kong and Zizhuo Wang). Manufacturing & Service Operations Management, 2020
- On the substitutability and complementarity of choice models (with Xiaobo Li and Zizhuo Wang). Operations Research Letters, 46(1): 141-146, 2018.
- On the relationship between several discrete choice models (with Xiaobo Li and Zizhuo Wang). Operations Research, 65(6): 1516-1525, 2017.
Selected Conference Proceedings and Book Chapters (Refereed)
- Analysis of on-demand ride hailing systems ( with Guangwen Kong and Zizhuo Wang). Sharing Economy: Making Supply Meet Demand, Ming Hu (Ed.), in Springer Series in Supply Chain Management, Christopher Tang (Series Ed.), 2018.
- A Nonparametric method for pricing and hedging American options (with Guangwu Liu, Lihua Sun). Proceedings of the 2013 Winter Simulation Conference, 691-700, 2013.