Shanshan Wang (王珊珊)
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Hi, I am a Postdoctoral Fellow in the Department of Decision Sciences of HEC Montréal (the business school of Université de Montréal), GERAD and CIRRELT since June 2020, where I am working with Professor Erick Delage and Professor Leandro C. Coelho from Department of Operations and Decision Systems of Université Laval. Prior to this, I obtained my Ph.D. in Management Science and Engineering at Beijing Institute of Technology in June 2020, and studied Master in Applied Mathematics at Beijing Institute of Technology in June 2015. During my Ph.D., I visited the Department of Industrial Engineering and Management Sciences and Professor Sanjay Mehrotra at Northwestern University from Sep. 2017 to Sep. 2019, and the Department of Decision Sciences of HEC Montréal from Sep. 2019 to May 2020. Research areas: Contact: Email: shanshan.wang@hec.ca |
News
- Our paper on “A Column Generation Scheme for Distributionally Robust Multi-Item Newsvendor Problems ” is accepted in INFORMS Journal on Computing!
- 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 “ Recent advances in Distributionally Robust Optimization ” in 2021 INFORMS Annual Meeting !
- Our new paper on “Robust Concave Utility Maximization over a Chance-Constraint ” is available online!
- Our paper on “A Solution Approach to Distributionally Robust Joint-Chance-Constrained Assignment Problems ” was accepted in INFORMS Journal on Optimization!
- Our paper on “Chance-Constrained Multiple Bin Packing Problem with an Application to Operating Room Planning ” was accepted in INFORMS Journal on Computing!
Selected Publications
See my Google Scholar profile for more details.
Shanshan Wang, Erick Delage, “A Column Generation Scheme for Distributionally Robust Multi-Item Newsvendor Problems” , 2023, accepted in INFORMS Journal on Computing.
Shanshan Wang, Jinlin Li, Sanjay Mehrotra, “A Solution Approach to Distributionally Robust Joint-Chance-Constrained Assignment Problems,” INFORMS Journal on Optimization, 2022, 4(2):125-147.
Viet Anh Nguyen, Fan Zhang, Shanshan Wang, Jose Blanchet, Erick Delage, Yinyu Ye, “ “Robustifying Conditional Portfolio Decisions via Optimal Transport ” accepted in Operatons Research, 2024.
Shanshan Wang, Erick Delage, Leandro C. Coelho, “ “Data-driven stochastic vehicle routing problems with deadline assignments ” under review, 2023.
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.
Shanshan Wang, Jinlin Li, Sanjay Mehrotra, “ Chance-Constrained Multiple Bin Packing Problem with an Application to Operating Room Planning,” INFORMS Journal on Computing, 2021, 33 (4), 1661-1677.
Shanshan Wang, Sanjay Mehrotra, “Robust Concave Utility Maximization over a Chance-Constraint” , under revision, 2021.
Bing Sun, Shanshan Wang, “ Maximum principle for optimal distributed control of viscous weakly dispersive Degasperis–Procesi equation” , Mathematical Methods in the Applied Sciences, 2015, 38(18): 4576-4586.
Conference Papers
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
- 2022 Optimization Days, Montréal, QC Canada
- 2021 INFORMS Annual Meeting, Anaheim, CA, USA
- 2021 GERAD Webinar, Montréal, QC Canada
- 2020 CRC in Decision-Making under Uncertainty Webinar, Montréal, Canada
- 2019 Optimization Days, Montréal, QC Canada
- 2018 INFORMS Annual Meeting, Phoenix, AZ USA
- 2017 INFORMS Annual Meeting, Houston, TX USA
- 2017 14th International Conference on Service Systems and Service Management, Dalian, China.
- 2016 INFORMS Annual Meeting, Nashville, TN USA