Jue Wang
Associate Professor & Distinguished Research Fellow of Management AnalyticsOverview
Jue Wang is an Associate Professor & Distinguished Research Fellow of Management Analytics at Smith School of Business.
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- Management Analytics
- Operations Management and Technology
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Full Bio
Jue Wang is an Associate Professor & Distinguished Research Fellow of Management Analytics at Smith School of Business.
His research lies at the intersection of operations research and statistics, with particular interests in real-time decisions with monitoring data.
In addition, he is studying complex revenue management problems through the lens of optimal control theory.
Jue has led multiple big data & analytics consulting projects in energy, transportation, and mining industries.
He received his Bachelor’s degree from Xi’an Jiaotong University (China) in 2007 and PhD from the University of Toronto in 2013.
Academic Degrees
Ph.D. Industrial Engineering & Operations Research
University of Toronto (2013)
M.Sc. Biomedical Engineering
Peking University, Beijing, China (2008)
B.Sc. Biomedical Engineering
Xi’an Jiaotong University, Xi’an, China (2007)
Academic Experience
Smith School of Business, Queen's University
Associate Professor (tenure) (2022 - present)
Distinguished Faculty Fellow of Management Analytics (2021 - Present)
Assistant Professor (tenure-track) (2016 – 2022)
Postdoctoral Fellow (2014–2016)
University of Toronto
Affiliate Professor (2019 - Present)
Sessional Instructor (2013-2014)
Publications
Journal Articles
Wang, J. (2022) Optimal sequential multi-class diagnosis. Operations Research, 70(1), 201–222
Wang, J. (2021) Optimal sequential multi-class diagnosis. Operations Research (published online)
- Published in Journal February 2022 70(1) 201-222
Wang, J. (2021) Optimal Bayesian demand learning over short horizons. Production & Operations Management, 30(4), 1154-1177
Wang, J. Levin Y., Nediak M. (2020) Selling passes to strategic customers. Operations Research, 68(4), 1095–1115
Wang, J. (2016) Minimizing the false alarm rate in systems with transient abnormality. Naval Research Logistics, 63(4), 320–334
Wang, J., Lee, C.G. (2015) Multi-state Bayesian control chart over a finite horizon. Operations Research, 63(4), 949–964
Working Papers (*student supervised)
Yousefi, J. Wang, Joint monitoring and learning of threatened species (under review at Management Science)
Ovchinnikov, J. Wang, Customer value in dynamic pricing situations (under revision at Marketing Science)
Y.Xie, J.Wang, The value of information in optimal online learning (under review at Operations Research)
Yousefi, J. Wang, Y. Levin, M. Nediak, The impact of strategic customers on dynamic subscription Pricing (under review at Operations Research)
Work in Progress
Wang, Y. Levin, M. Nediak, Dynamic price competition under strategic repeat purchase
Wang, Condition-based maintenance in a changing environment
Song, J. Wang, Active sequential learning through belief reconstruction
Teaching
Teaching Experience
Queen’s University, Smith School of Business
MMA 867: Predictive Analytics (2019 - Present)
MMA 865: Big Data Analytics (2021)
MMA 847: Capstone Projects (2021-2022)
MMA 867: Multivariate Statistical Analysis (2018 Summer)
COM 161: Introduction to Mathematical Analysis for Management (2016 Fall, 2017 Fall)
COM 162: Managerial Statistics (2016 Winter)
University of Toronto, Department of Mechanical & Industrial Engineering
MIE 1605: Stochastic Processes (2012 Fall, 2013 Fall, 2014 Fall)
MIE 1615: Markov Decision Processes (2015 Spring)
Students Supervised
Roozbeh Yousefi, PhD, Queen’s University (completed in 2022)
Alireza Farhang-Doost, PhD candidate, Queen’s University (2018-present)
Tian Xie, MSc candidate, Queen’s University (2020)
Zheng Xu, undergraduate student, Queen’s University (2020)
Xueze Song, visiting student, Huazhong University of Science and Technology (2018)
Kuan Zeng, visiting student, Huazhong University of Science and Technology (2018)
Presentations
Conference Presentations
Data-driven inactivity detection, INFORMS Annual meeting, Seattle, WA, USA, October 2019
Bayesian optimal price fine-tuning. INFORMS Revenue Management and Pricing Section Conference, Stanford University, CA. USA, June 7, 2019
Bayes-optimal Fine-tuning under Imperfect Observations. Decision making theories under uncertainty and its applications: the extensions of mathematics for programming, Research Institute for Mathematical Sciences (RIMS) Kokyuroku, Kyoto University, July 2018.
Bayesian optimal exploration-and-exploitation in process monitoring and optimization, 26th meeting of division of “Stochastic models and its applications” in Operations Research Society of Japan. Sophia University, Tokyo, Japan. November 18, 2017.
Bayes-optimal fine-tuning under incomplete information, Annual workshop of decision-making under uncertainty, Research Institute of Mathematical Sciences, Kyoto University, Kyoto, Japan, November 15, 2017.
Bayesian optimal exploration and exploitation in dynamic pricing. IFORS 2017, Quebec City, QC, Canada, July 17-21, 2017.
Oligopolistic price competition under strategic repeat purchases. POMS Annual meeting, Seattle, WA, USA, May 5-8, 2017.
Which customers are more valuable in a dynamic pricing situation? POMS Annual meeting, Seattle, WA, USA, May 5-8, 2017.
Which customers are more valuable in a dynamic pricing situation? INFORMS Annual meeting, Nashville, TN, USA, November 13-16, 2016.
Oligopolistic price competition under strategic repeat purchases. INFORMS Revenue Management and Pricing Section Conference, New York, NY. USA, June 16, 2016
Which customers are more valuable in a dynamic pricing situation? Annual meeting of the Canadian Operational Research Society (CORS), Banff, AB, Canada, May. 31, 2016.
Turnpike Equilibrium for Oligopolistic Dynamic Pricing Competition with Strategic Consumers. POMS Annual Conference, Orlando, Florida, USA, May 8, 2016.
Turnpike Equilibrium for Oligopolistic Dynamic Pricing Competition with Strategic Consumers. Annual meeting of the Institute of Operational Research and Management Science (INFORMS), Philadelphia, PA, USA. Nov. 1, 2015.
Selling passes to strategic customers. Manufacturing & Service Operations Management (MSOM) Conference, Toronto, ON, Canada, June 30, 2015.
Selling passes to strategic customers. INFORMS Revenue Management and Pricing Section Conference, New York, NY. USA, June 12, 2015.
Bayesian control chart for multi-state processes over a finite horizon, Annual meeting of the Canadian Operational Research Society (CORS), Vancouver, BC, Canada. May. 28, 2013.
Bayesian control of multi-state deteriorating systems, Annual meeting of the Institute of Operational Research and Management Science (INFORMS), Phoenix, AZ, USA. Oct. 13, 2012.
Bayesian process control with multiple assignable causes, Annual conference of the Canadian Operational Research Society (CORS), Niagara Falls, ON, Canada. June 11, 2012.
Bayesian trading strategies based on partially observable Markov decision processes, Annual conference of the Canadian Operational Research Society (CORS), Niagara Falls, ON, Canada. June 11, 2012
Bayesian estimation and real-time decision-making in Markov switching models, Quantitative Finance & Risk Management, Toronto, ON, Canada, 2012.
Bayesian change detection under competing risks, 3-C Risk forum and International Conference on
Engineering and Risk Management (ERM), Toronto, ON, Canada, October 2011
Cross-scale prediction of hemodynamic instability, INFORMS Healthcare, Montreal, QC, Canada, June 2011
Invited Talks
University of Toronto Engineering Research Conference (keynote talk), 2022
DeGroote School of Business, McMaster University, 2022
Rotman School of Business, University of Toronto, 2022
Alberta School of Business, University of Alberta, 2021
Zhejiang University, Hangzhou, China, 2021
Beihang University, Beijing, China, 2020
University of Science and Technology of China, Hefei, China, 2020
The UBC Sauder School of Business, Vancouver, BC, Canada, 2020
Huazhong University of Science and Technology, Wuhan, China, 2018
Sophia University, Department of Economics, Tokyo, Japan, 2017
Kyoto University, Research Institute of Mathematical Sciences, Kyoto, Japan, 2017
Chinese University of Hong Kong, Systems Engineering & Engineering Management, Hong Kong, 2015
Hong Kong Polytechnic University, Department of Logistics and Maritime Studies, 2015
City University of Hong Kong, Department of Management Science, Hong Kong, 2015
Korea Advanced Institute of Science & Technology (KAIST), Industrial & System Engineering, Korea, 2013
Awards
Fellowships and Awards
New Researcher Achievement Award, Smith School of Business, Queen’s University (2021)
Distinguished Faculty Fellow of Management Analytics, Smith School of Business, Queen’s University (2021-Present)
Scotiabank scholar, Smith School of Business, Queen’s University (2018–present)
Second place (Open category), Canadian Operations Research Society Student Paper Competition (2013)
University of Toronto Early Stage Technology Award for promising information technology (2012)
First place, Quantitative Finance & Risk Management Student Paper Competition (2012)
Best oral presentation, Research symposium of the Department of Mechanical & Industrial Engineering, University of Toronto (2011)
Outstanding Graduate, Xi’an Jiaotong University (2007)
First prize, Competition of Physics, Xi’an Jiaotong University (2005)
Grants & Funding
MITACS Accelerate Grant, Principal Investigator (2022-2023)
MITACS | $60,000
Distinguished Faculty Fellow of Management Analytics (2021-2024)
Smith School of Business, Queen’s University | $45,000
Accelerate Grant (2020)
MITACS
Discovery Grant (Individual) (2019-2024)
NSERC | $142,500
Collaborative Research and Development (CRD) Grant (2019-2020)
NSERC | $159,400
Monieson Centre “Future of Business Research” Grant (2018–2020)
Monieson Centre | $9,000
Collaborative Research and Development (CRD) Grant (2017–2021)
NSERC
General Research Grant (2017–2018)
Smith School of Business | $9,000
Research Initiation Grant (2016–2019)
Queen’s University | $45,000
Service
Ad-hoc reviewer for Operations Research, Management Science, Manufacturing & Service Operations Management, Production & Operations Management, Naval Research Logistics, European Journal of Operations Research, Critical Care Medicine, Health Care Management Science, Omega
Cluster chair (Revenue Management), Canadian Operations Research Society (CORS) Annual Meeting, Saskatoon, 2019
Session chair: CORS 2012, 2016, 2017, 2018, 2020, INFORMS 2016, 2017, 2019