Jue Wang

Publications (*Student Supervised, **Ecologist)

Wang, J., X.Song*, R. Yousefi*, Z. Jiang**, Optimal learning and management of threatened species,
Management Science (published online Sep.18, 2024) https://doi.org/10.1287/mnsc.2023.01753

Wang, J. (2024) Learning to balance the performance and deterioration of aging systems through derating,
Production & Operations Management (forthcoming)

Wang, J. (2022) Optimal sequential multi-class diagnosis. Operations Research, 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, **Ecologist)

J. Wang, B. J. Hanley**, N. E. Thompson**, D. P. Walsh**, Y. Huang**, C. Gonzalez-Crespo**, J. G. Booth, J. N. Caudell**, K. P. Hynes**, L. A. Miller**, F. H. Hodel, and K. L. Schuler**, Strategic allocation of surveillance and prevention resources for emerging wildlife disease

Y. Xie, J. Wang, J. Hanson**, J. Bennett**, Optimal wildlife monitoring in a dynamic world

L. Chen, J. Wang, X. Yan, Birdbnb: Data-driven pitstop support for migrating birds

Y. Gong*, J. Zhang, J. Wang, Saving whales with optimal control

A. Ovchinnikov, J. Wang, Which customers are more valuable in dynamic pricing situations?

J. Wang, Y. Levin, M. Nediak, Dynamic price competition under strategic repeat purchase

X. Song, J. Wang, Active sequential learning through belief reconstruction

L. Chen, J. Li, J. Wang, A variational inference method for Bayesian dynamic control

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

Yu Gong, PhD (2024-present)
Yi Zhang, PhD (2023-present)
Alireza Farhang-Doost, PhD (2018-2024)
Roozbeh Yousefi, PhD (2016-2022)
Roozbeh Yousefi, Postdoc (2022-2023)
Tian Xie, MASc (2022)
Zheng Xu, summer student (2020)
Xueze Song, summer student (2018)
Kuan Zeng, visiting PhD student (2018)

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 College London, School of Management
• Cornell University, Johnson School of Management
• University of Hong Kong Business School
• Shanghai Jiaotong University, Industrial Engineering
• The Hong Kong University of Science and Technology Business School
• National University of Singapore, Industrial Systems Engineering and Management 
• Institute of Zoology, Chinese Academy of Sciences
• McMaster University, DeGroote School of Business
• University of Toronto, Rotman School of Business
• University of Alberta, Alberta School of Business
• Zhejiang University, School of Management
• University of Science and Technology of China, School of Management
• UBC, Sauder School of Business
• Huazhong University of Science and Technology
• Sophia University, Department of Economics
• Kyoto University, Research Institute of Mathematical Sciences
• Chinese University of Hong Kong, Systems Engineering & Engineering Management
• Hong Kong Polytechnic University, Department of Logistics and Maritime Studies
• City University of Hong Kong, Department of Management Science
• Korea Advanced Institute of Science & Technology (KAIST), Industrial & System Engineering, Korea

Fellowships and Awards 

Distinguished Faculty Fellow of Management Analytics (Research), Smith School of Business, Queen’s
University (2024-2026)

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

Natural Resources Canada Research Fund (2024)
$22,000

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

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