Chun Peng
 |
Hi, I am an assiciate professor in the Department of Logisitics Management in the School of Economics and Management at Beijing Jiaotong University in China. Before I was working as a Postdoctoral Fellow in the Department of Decision Sciences of HEC Montréal (the business school of Université de Montréal) and GERAD since 2018, where I was working with Professor Erick Delage. Prior to this, I obtained my Ph.D. in Management Science and Engineering at Beijing Institute of Technology in May 2018. During my Ph.D., I visited the Department of Decision Sciences of HEC Montréal from Oct. 2016 to Nov. 2017. Research Interests: Data-driven optimization under uncertainty using stochastic/robust optimization and machine learning, and with applications in (a) sustainable urban transportation and logistics management (e.g., emergency medical service location, humanitarian logistics, last-mile delivery, shared mobility); (b) healthcare operations management (e.g., operating rooms planning, telemedicine scheduling). Contact: Email: chunpeng@bjtu.edu.cn |
News
- Our new paper on “Should Online Live Streaming Be Adopted? A Study on E-commerce Supply Chain Performance with Target-Oriented Retailers ” is available online!
- Our paper on “Robust doctor-patient assignment with endogenous service duration uncertainty and no-show behavior ” was accepted in Omega Journal!
- Our paper on “Robust concave utility maximization over chance constraints ” was accepted in European Journal of Operational Research!
- I will will present our work in 2024 INFORMS Annual Meeting in Seattle !
- I will join the School of Economics and Management at Beijing Jiaotong University in China as an associate professor from 2023 winter!
- Our paper on “Data-Driven Optimization with Distributionally Robust Second-Order Stochastic Dominance Constraints ” was accepted in Operations Research!
- I will present our work in the session “ Contextual optimization under uncertainty ” in 2022 Optimization Days !
- Our paper on “Two-Stage Robust Telemedicine Assignment Problem with Uncertain Service Duration and No-show Behaviours ” was accepted in Computers & Industrial Engineering!
- I will present our work in the session “Stochastic integer programming and its applications” in 2021 INFORMS Annual Meeting !
Selected Publications
See my Google Scholar profile for more details.Menglei Ji, Shanshan Wang, Chun Peng, Jinlin Li, “Two-stage distributionally robust telemedical doctor-patient assignment with decision-dependent uncertain service duration and no-Show behavior,” accepted in Omega, 2025.
Shanshan Wang, Sanjay Mehrotra, Chun Peng, “ Robust concave utility maximization over chance constraints,” European Journal of Operational Research, 2025, 321:800-813.
Menglei Ji, Mohammad Mosaffa, Amir Ardestani-Jaafari, Jinlin Li, Chun Peng, “Incorporating Text Mining into Telemedicine Appointments Scheduling, ” Annals of Operations Research, 2024, 341: 621-645.
Chun Peng, Erick Delage, “Data-Driven Distributionally Robustness Stochastic Dominance Constrained Model with an Application to Emergency Medical Services Network Design,” working paper, 2023.
Chun Peng, Erick Delage, “ Data-Driven Optimization with Distributionally Robust Second-Order Stochastic Dominance Constraints,” Operations Research, 2024, 72(3):1298-1316.
Menglei Ji, Shanshan Wang, Chun Peng, Jinlin Li, “Two-Stage Robust Telemedicine Assignment Problem with Uncertain Service Duration and No-show Behaviours,” Computers & Industrial Engineering, 2022, 169:108226.
Chun Peng, Erick Delage, Jinlin Li, “ Probabilistic Envelope Constrained Multiperiod Stochastic Emergency Medical Services Location Model and Decomposition Scheme,” Transportation Science, 2020, 54(6):1471-1494.
Conference Papers
M. Ji, J. Li, C. Peng, “Two-stage chance-constrained telemedicine assignment model with no-show behavior and uncertain service duration,” INFORMS International Conference on Service Science. Springer, Cham, 2020: 431-442.
S. Wang, J. Li, C. Peng, “Distributionally robust chance-constrained program surgery planning with downstream resources,” Proceeding of the 14th International Conference on Service Systems and Service Management, 2017. DOI: 10.1109/ICSSSM.2017.7996258.
C. Peng, J. Li, S. Wang, “Two-stage robust facility location problem with two multiplicative uncertainties and disruptions,” Proceeding of the 14th International Conference on Service Systems and Service Management, 2017. DOI: 10.1109/ICSSSM.2017.7996131.
Journal Papers
Presentations
- 2025 POMS-HK, HK, China
- 2024 INFORMS Annual Meeting, Seattle, WA, USA
- 2024 POMS International Conference in China, Hefei, China
- 2023 POMS International Conference in China, Hangzhou, China
- 2022 Optimization Days (invited), Montréal, QC Canada
- 2021 INFORMS Annual Meeting (invited), Anaheim, CA, USA
- 2021 Robust Optimization Webinar (invited)
- 2020 INFORMS Annual Meeting (Virtual, invited)
- 2019 INFORMS Annual Meeting (invited), Seattle, WA USA
- 2019 The XV International Conference on Stochastic Programming (ICSP), Norway
- 2019 Optimization Days, Montréal, QC Canada
- 2019 Meet a GERAD Researcher Seminar (invited), Montréal, QC Canada
- 2018 CORS Annual Meeting (invited), Halifax Canada
- 2017 INFORMS Annual Meeting, Houston, TX USA
- 2017 14th International Conference on Service Systems and Service Management, Dalian, China.