Jue Wang, Queen's University

Research

Bayesian decision theory Diagnosis Dynamic Programming and Optimal Control Maintenance and reliability Markov decision processes Optimal control Optimal Learning Realtime monitoring

Latest papers

Strategic planning of prevention and surveillance for emerging diseases and invasive species.
Proceedings of the National Academy of Sciences of the United States of America · 2025 · first author
Learning to Balance the Performance and Deterioration of Aging Systems Through Derating.
Production and operations management · 2025 · first author

All 2 publications

Latest funding

Diagnosis, Learning and Optimization of Smart and Connected Products
NSERC · 2019 · Principal investigator
$12,500
Machine Learning-enhanced approaches to optimization of supply chain management at Nestlé Canada
NSERC · 2019 · Co-investigator
$146,900
Diagnosis, Learning and Optimization of Smart and Connected Products
NSERC · 2019 · Principal investigator
$156,000

All 3 grants and awards

2 publications.

01

Strategic planning of prevention and surveillance for emerging diseases and invasive species.

Wang J, Hanley BJ, Thompson NE, Gong Y, Walsh DP, Gonzalez-Crespo C, Huang Y, Booth JG, Caudell JN, Miller LA, Schuler KL

Proceedings of the National Academy of Sciences of the United States of America2025First author

DOI: 10.1073/pnas.2507202122 PMID: 40971405

02

Learning to Balance the Performance and Deterioration of Aging Systems Through Derating.

Wang J

Production and operations management2025First author

DOI: 10.1177/10591478241305339 PMID: 41938785

Diagnosis, Learning and Optimization of Smart and Connected Products

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: Wang, Jue

$12,500

Machine Learning-enhanced approaches to optimization of supply chain management at Nestlé Canada

Co-investigatorNSERC2019Collaborative Research and Development Grants

Principal investigators: Lee, Chi-Guhn

$146,900

Diagnosis, Learning and Optimization of Smart and Connected Products

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Wang, Jue

Keywords: realtime monitoring; optimal learning; smart and connected products; maintenance and reliability; diagnosis; dynamic programming and optimal control; reinforcement learning; markov decision processes; optimal control; bayesian decision theory

$156,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2019

Subject: Prospective PhD student: Bayesian decision theory Dear Professor Wang, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Strategic planning of prevention and surveillance for emerging diseases and invasive species." (2025), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Diagnosis, Learning and Optimization of Smart and Connected Products" (2019), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]