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LAB DIRECTOR

Dr. Patrick Dumond

Full professor

School of Engineering Design and Teaching Innovation 

Department of Mechanical Engineering
University of Ottawa

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

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 Mert Sehri

PhD, Mechanical Engineer

 

Bearing fault diagnosis, data collection and justification for machine learning using deep and traditional learning algorithms

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Zehui Hua

PhD, Mechanical Engineer

Vibration signal analysis, deep transfer learning and their applications in rotating machinery health monitoring

MASTER'S STUDENTS

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Niousha Khalilian​​

MEng of Biomedical Engineering

 

Gait Analysis, Sensors Design for Machine Condition Monitoring​​​​

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Simon Jonathan Tremblay

M.A.Sc. Mechanical Engineering​​​​

Sensors Design for Machine Condition Monitoring

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Karen Hakko​​

Master's of Applied Science in Biomedical Engineering​​​​

Prosthetic socket testing to increase efficiency

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AudreyAnn Bleau-Brousseau

M.A.Sc. Mechanical Engineering​​​​

UNDERGRADUATE STUDENTS

Sameed Shaz Ahmed

Sameed Shaz Ahmed

BASc 

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Zitai Peng

BASc

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Vicent Parent

BASc

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Efe Cakir​​

BASc

Diego

Diego Hernandez

BASc

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Saif Alshawabkeh

BASc

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​

Botao Wang

MASc

Remaining useful life predictions for bearings using spectrogram and scalogram

Matthew Lorimer

MASc

Estimating the Acoustic Absorption of Wood-Infused Concretes​

Peter Vorvis

MASc

Bearing Fault Diagnosis Using Vibration, Temperature and Current Sensor Data Fusion and GoogLeNet

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Supported by the University of Ottawa

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