Faculty profile

Brett Sicard

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PhD StudentMcMaster University

Research

Research areas, by share of publications

Research areas are derived from OpenAlex topics of their publications.

20 publications.

01

Digital Twin Enabled Performance Optimization of Machine Tools: A Survey

Sicard B, Wu Y, Gadsden SA, McCafferty-Leroux A

20251 citationsFirst author
02

Parameter Identification in Magnetorheological Dampers via Physics-Informed Neural Networks

Wu Y, Sicard B, Kosierb P, Gadsden SA

Lecture Notes in Electrical Engineering2025
03

Robust Estimation Strategies for a Nonlinear Satellite System

McCafferty-Leroux A, Sicard B, Gadsden SA, Al-Shabi M

Lecture Notes in Electrical Engineering2025
04

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection

Wu Y, Sicard B, Gadsden SA

2024
05

Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring

Wu Y, Sicard B, Gadsden SA

Expert Systems With Applications2024364 citations
06

Physics-informed neural networks for modeling hysteretic behavior in magnetorheological dampers

Wu Y, Sicard B, Kosierb P, Appuhamy R, McCafferty-Leroux A, Gadsden SA

Proceedings of SPIE - The International Society for Optical Engineering20247 citations
07

Digital Twin Enabled Asset Management of Machine Tools

Sicard B, Wu Y, Gadsden SA

20247 citationsFirst author
08

Generating synthetic data for data-driven solutions via a digital twin for condition monitoring in machine tools

Sicard B, Butler Q, Wu Y, Abdolahi S, Ziada Y, Gadsden SA

Proceedings of SPIE - The International Society for Optical Engineering20244 citationsFirst author
09

Aerospace digital twins: examining applications of digital twin technology to unmanned aerial vehicles and satellites

Sicard B, McCafferty-Leroux A, Appuhamy R, Newton A, Kosierb P, Gadsden SA

Proceedings of SPIE - The International Society for Optical Engineering20243 citationsFirst author
10

Hybrid Modeling for Condition Monitoring in Digital Twin Systems

Sicard B, Gadsden SA

20243 citationsFirst author

Courses taught

2
  • Mechanical Engineering Design Elements

    MECHENG 2DA3 · last taught 2026

    Undergraduate
  • Robotics

    MECHENG 4K03 · last taught 2025

    Undergraduate
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Subject: Prospective PhD student: Advanced machining processes and optimization Dear Professor Sicard, 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 "Digital Twin Enabled Performance Optimization of Machine Tools: A Survey" (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.] 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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