Hansheng Jiang
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Assistant Professor
Rotman School of Management
University of Toronto
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About Me
I am an Assistant Professor in Operations Management and Statistics at the Joseph L. Rotman School of Management, University of Toronto. My research focuses on data-driven decision-making in dynamic and uncertain environments and is motivated by practical challenges in areas such as retail, pricing, transportation, inventory control, and emerging platforms.
I completed my Ph.D. in Industrial Engineering and Operations Research (IEOR) at the University of California, Berkeley, advised by Zuo-Jun (Max) Shen from the Department of IEOR and Aditya Guntuboyina from the Department of Statistics. Before that, I received a B.S. in Mathematics from the University of Science and Technology of China.
News
- 10/2024 New working paper "Designing Surprise Bags for Surplus Foods" explores optimal strategies for stores in balancing revenue, customer satisfaction, and sustainability in food waste reduction.
- 09/2024 Offering a new Rotman PhD topic course on nonparametric models and methods for data-driven decision-making in Fall 2024.
- 07/2024 I gave a 60-minute talk at Rotman Young Scholar Seminar [Video Recording].
- 06/2024 Presenting in MSOM at Minneapolis, RMP at Los Angeles, and ISMP at Montreal. See you there!
- 05/2024 New version of our Learning While Repositioning paper is posted, where we introduce an asymptotically optimal base-stock repositioning policy and an efficient online algorithm that circumvents the curse of dimensionality arising from network structure.
- 04/2024 I am excited and grateful to receive the NSERC Discovery Grant!
- 02/2024 Congratulations to my student mentee Zeqi Ye for being admitted to the Northwestern IEMS PhD Program!
- 01/2024 Paper on Smoothness Adaptive Dynamic Pricing is accepted to AISTATS 2024.
- 01/2024 Teaching RSM270 Operations Management in Winter 2024.
- 12/2023 Approved funding from the CANSSI Ontario Multidisciplinary Doctoral (Mdoc) Training Program (Joint with Qiang Sun)!
- 12/2023 Talks at USTC School of Management and POMS-HK.
- 10/2023 I will be at INFORMS Annual Meeting 2023 at Phoenix (related sessions).
- 08/2023 Invited talks at MOPTA 2023 ("Potential Energy Advantage of Quantum Economy") and YinzOR 2023 ("Intertemporal Pricing in the Presence of Consumer Behaviors").
- 06/2023 Honored to receive the Second Place in Doctoral Dissertation Award Competition, Conference on SCM in the Post-Pandemic and AI Age. See the recording for a brief 20-min introduction.
- 01/2023 Excited to teach as an instructor for the first time! Welcome to STAT 153: Introduction to Time Series.
- 12/2022 New manuscript "Learning While Repositioning in On-Demand Vehicle Sharing Networks" is posted on SSRN!
- 10/2022 Our paper "Quantum Computing Methods for Supply Chain Management" is published on the Proceeding of 2022 IEEE/ACM 7th Symposium on Edge Computing - Workshop on Quantum Computing!
- 08/2022 I won a prize in the flash talk competition at YinzOR 2022 held by Carnegie Mellon University!
To Students
I look forward to working with self-motivated students who have strong mathematical and/or coding backgrounds. Feel free to contact me via email with your CV if you'd like to discuss. For those interested in our PhD program, please apply here to join our vibrant OMS group.