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Patrick Dumond

Full Professor

Engineering Design and Teaching Innovation,

University of Ottawa

Professor Patrick Dumond joined the Department of Mechanical Engineering as an assistant professor, where he teaches courses in engineering design in May 2016. Currently, Professor Dumond is a full professor at the School of Engineering Development and Teaching Innovation at the University of Ottawa.  He strongly believes in experiential learning and is actively involved in the ongoing development of the Centre for Entrepreneurship and Engineering Design (CEED) at the University of Ottawa and advises many students involved in pre-professional engineering competitions.

PUBLICATIONS

​Professor 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.

Preliminary Material Evaluation of Flax Fibres for Prosthetic Socket Fabrication. Journal of Biomechanical Engineering.

Journal Articles

2021

Dynamics of Biomechanical Systems

Bearing Fault Diagnosis Using Vibration, Temperature and Current Sensor Data Fusion and GoogLeNet. Proceedings of the 27th International Congress on Sound and Vibration. 1-8, 2021

Conference Paper

2021

Machine Condition Monitoring

Passive Rotation Angle Motion Validation for an Ankle-Foot Orthosis Multi-Jointed Surrogate Lower Limb Design. Proceedings of the 43rd International Conference of the IEEE Engineering in Medicine and Biology Society.

Conference Paper

2021

Dynamics of Biomechanical Systems

Automating Predictive Maintenance Using State-Based Transfer Learning and Ensemble Methods. Proceedings of the IEEE International Symposium on Robotic and Sensors Environments 2021. 1-7, 2021

Conference Paper

2021

Machine Condition Monitoring

Towards Generalization for Intelligent Fault Detection on Roller Element Bearings by Transfer Learning Between Two Separate Datasets. Proceedings of the ASME 2021 Virtual International Design Engineering Technical Conferences & Computers and Information in Engineering Conference. 1-9, 2021

Conference Paper

2021

Machine Condition Monitoring

DEGREES

2015
2010
2007

Ph.D., Mechanical Engineering,

University of Ottawa, Canada

M.A.Sc., Mechanical Engineering, University of Ottawa, Canada

B.A.Sc., Mechanical Engineering, University of Ottawa, Canada

ACADEMIC HONOURS

  • Nominated for the Canadian Engineering Education Association Ron Britton Award

  • Engineering Education Vanguard Award - Awarded annually to a person who, early in their career, has committed to the development of engineering education in Canada through practice and/or research (2019)

  • Personal acknowledgment by the dean of engineering for teaching quality (2014-2016)

  • 3rd place finalist for entrepreneurship, Programme Chef de File 3.0 du RGA (2014)

TEACHING

  • GNG 5300X – Personal Development and Communication

  • GNG 5300J – Introduction to Engineering and Its Impact on Society

  • GNG 5310B – Teamwork and Communication

  • GNG 5140 - Engineering Design

DIRECTED STUDIES 

  • Vibration Analysis for Machine Health Monitoring

  • Structural Acoustics of Deterministic and Random Phenomena

  • ​Machine Learning Techniques for Mechanical Sensor Data​

  • Vibration-Based Condition Monitoring

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If you’d like more information about my research and team, get in touch today!

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Supported by the University of Ottawa

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