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Jue Wang

Assistant Professor & Distinguished Faculty Fellow of Management Analytics

Overview

Jue Wang is an Assistant Professor & Distinguished Faculty Fellow of Management Analytics at Smith School of Business. 

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Academic Area

  • Management Analytics
  • Operations Management and Technology

Interest Topics

Faculty Details

Profile

Full Bio

Jue Wang is an Assistant Professor & Distinguished Faculty 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
Distinguished Faculty Fellow of Management Analytics (2021 - Present)
Assistant Professor of Management Analytics (tenure-track) (2016 – Present)
Postdoctoral Fellow (2014–2016)

University of Toronto
Affiliate Professor (2019 - Present)
Sessional Instructor (2013-2014)

Publications

Journal Articles

Wang, J. (2020) Optimal sequential multi-class diagnosis. forthcoming in Operations Research

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)

J. Wang, Condition-based Maintenance in a Changing Environment 

J. Wang, Y. Levin, M. Nediak, Dynamic Price Competition, Repeat Purchase, and Strategic Customers 

R. Yousefi*, J. Wang, Quickest Inactivity Detection with Behavior Learning 

A. Ovchinnikov, J. Wang, Customer Value in Dynamic Pricing Situations

R. Yousefi*, J. Wang, Y. Levin, M. Nediak, Dynamic Subscription Pricing with Strategic customers

Teaching

Students Supervised

Roozbeh Yousefi, PhD candidate, co-supervised with Yuri Levin and Mikhail Nediak, Queen’s University (2015-present)

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 Presentations

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 

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

Accelerate Grant (2020)
MITACS

Discovery Grant (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