Faculty profile

Weiming Shen

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Adjunct ProfessorBiomedical EngineeringMcMaster University

Weiming Shen

Adjunct Professor

Biomedical Engineering

Faculty of Engineering

McMaster University

Hamilton, Ontario, Canada

In this role since 2020

Email ORCID

Supervision signals

Adjunct, part-time and visiting faculty usually co-supervise alongside a core faculty member.
No graduate courses on record.
279 publications in the last five years, latest in 2027.
Senior (last) author on 159 recent papers, a sign of leading a research group.

These signals come from public records. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

852

Publications

22,291

Citations

h-index

Collaborators

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

Academic profiles

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Contact

shenw23@mcmaster.ca

Research

Research areas, by share of publications

Scheduling and Optimization AlgorithmsEngineering
Manufacturing Process and OptimizationEngineering
Advanced Manufacturing and Logistics OptimizationEngineering
Business Process Modeling and AnalysisBusiness, Management and Accounting
Collaboration in agile enterprisesBusiness, Management and Accounting
Anomaly Detection Techniques and ApplicationsComputer Science
Machine Fault Diagnosis TechniquesEngineering
Fault Detection and Control SystemsEngineering

Research areas are derived from OpenAlex topics of their publications.

From the 150 most recent of 852 publications.

A comprehensive review of compound fault diagnosis for industrial machinery: Object hierarchies, application scenarios and emerging perspectives on foundation models

He Y, Huang Y, Hu X, Shen W

Advanced Engineering Informatics2027Senior author

DOI: 10.1016/j.aei.2026.105163

An improved memetic algorithm for flexible job shop scheduling problem with multi-level assembly operations

Ning S, Wang J, Yu C, Shen W, Shi Y

Expert Systems With Applications2027

DOI: 10.1016/j.eswa.2026.133443

Physics-informed machine learning in intelligent manufacturing: a review

Leng J, Zuo K, Xu C, Zhou X, Zheng S, Kang J, Liu Q, Chen X, Shen W, Wang L

Journal of Intelligent Manufacturing2026109 citations

DOI: 10.1007/s10845-025-02641-1

AIGC-empowered smart manufacturing: Prospects and challenges

Leng J, Zheng K, Li R, Chen C, Wang B, Liu Q, Chen X, Shen W

Robotics and Computer-Integrated Manufacturing202666 citationsSenior author

DOI: 10.1016/j.rcim.2025.103076

A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospects

Cheng Y, Cao Y, Yao H, Luo W, Jiang C, Zhang H, Shen W

Journal of manufacturing systems202656 citationsSenior author

DOI: 10.1016/j.jmsy.2025.11.022

A review of multi-modal deep learning towards agentic smart manufacturing

Leng J, Wang J, Zhou L, Zhao R, Chen C, Zhang D, Zheng S, Liu Q, Shen W

Advanced Engineering Informatics202620 citationsSenior author

DOI: 10.1016/j.aei.2025.104117

Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects

Cheng Y, Sun Y, Zhang H, Shen W, Cao Y

202618 citations

DOI: 10.1609/aaai.v40i5.37328

Simulation-to-real transfer learning for bearing fault diagnosis across working conditions: A hybrid approach combining physical modeling and data-driven techniques

Han Z, Xia W, Shen W, Zhu Q, Liu H, Zhang C

Advanced Engineering Informatics202615 citations

DOI: 10.1016/j.aei.2025.103998

Toward Zero-Shot Point Cloud Anomaly Detection: A Multiview Projection Framework

Cheng Y, Cao Y, Xie G, Lu Z, Shen W

IEEE Transactions on Systems, Man, and Cybernetics: Systems202614 citationsSenior author

DOI: 10.1109/tsmc.2025.3648581

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation

Jiang Y, Luo W, Zhang H, Chen Q, Yao H, Shen W, Cao Y

20268 citations

DOI: 10.1609/aaai.v40i7.37466

Frequent collaborators

Scott Bucking

Mechanical Engineering

1 shared papers, latest 2018

Researchers with similar interests

Timothy J Nye

Mechanical Engineering

Manufacturing Process and Optimization

Donald Sawula

Surgery

Manufacturing Process and Optimization

Elkafi Hassini

Operations Management

Advanced Manufacturing and Logistics Optimization

Nooshin Salari

Operations Management

Advanced Manufacturing and Logistics Optimization

Istvan David

Computing and Software

Business Process Modeling and Analysis

Dan Centea

School of Engineering Technology

Manufacturing Process and Optimization

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Subject: Prospective PhD student: Scheduling and Optimization Algorithms Dear Professor Shen, 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 "A comprehensive review of compound fault diagnosis for industrial machinery: Object hierarchies, application scenarios and emerging perspectives on foundation models" (2027), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] 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]

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