Lab Director
Dr. Patrick Dumond
Associate professor, tenured
Engineering Design and Teaching Innovation, University of Ottawa
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Dr. Dumond's research interests include vibration/acoustic system design, the development of inverse eigenvalue methods for vibration system design, mechanical/biomechanical design, design theory and musical acoustics. He also has a soft spot for understanding variations in the mechanical properties of wood and how these can be controlled during the design and manufacturing process.
Doctorate Students
Mert Sehri
PhD, Mechanical Engineer
2021-
Data collection and justification for machine learning using deep and traditional learning algorithms
Zehui Hua
PhD, Mechanical Engineer
2021-
Vibration signal analysis, deep transfer learning and their applications in rotating machinery health monitoring
Master's Students
Kevin Xu
MEng
2024 -
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Large Language Models for Maintenance Engineering
Niousha Khalilian
MASc
2021-
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Mechanical Pollination of Strawberry Plants for Indoor Farming; Bearing Data Analysis using traditional learning via artificial neural networks
Simon Jonathan Tremblay
MASc
2024 -
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Generative Adversarial Networks in Prognostics and Health Management
Undergraduate Students
Efe Cakir
BASc
2024-
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Reinforcement Learning for Online Condition Monitoring
Vicent Parent
BASc
2023-​
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openPHM and SSMachMoS platforms for IoT condition monitoring
Diego Hernandez
BASc
2024 -
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Mechanical Pollination of Strawberry Plants for Indoor Farming
Zitai Peng
MASc
2024 -
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Alumni
The Dumond Design Lab is proud of its alumni, who have gone on to achieve remarkable success in academia, industry, and beyond. Our former members have made significant contributions to various fields, reflecting the rigorous training and innovative spirit of our lab. We celebrate their accomplishments and are honoured to share their stories and successes with you.
Sanaz Bahrami
MASc
Low-profile Polymer Actuator Fabrication for Spastic Hand Exoskeletons
Jacob Hendriks
MASc
Vibrations-Based Machine Fault Diagnosis and Prognosis Using Convolutional Neural Networks
Imbie David Nku
MASc
Powering a Wireless Sensor Network for Machine Condition Monitoring
Alexis Thibodeau
MASc
3D-Printed Surrogate Lower Limb for Testing Ankle-Foot Orthoses
Justin Larocque- Villiers
MASc
Generalization and Automation of Machine Learning-Based Intelligent Fault Classification for Rotating Machinery
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Botao Wang
MASc
Remaining useful life predictions for bearings using spectrogram and scalogram
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Matthew Lorimer
MASc
Estimating the Acoustic Absorption of Wood-Infused Concretes
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Peter Vorvis
MASc
Bearing Fault Diagnosis Using Vibration, Temperature and Current Sensor Data Fusion and GoogLeNet