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Note: The university’s mandatory vaccine directive is now in effect. Learn more about vaccine requirements.
COVID-19 information and screening.

Learn how we’re keeping our campus community safe, healthy and engaged during our gradual return to campus.
Note: The university’s mandatory vaccine directive is now in effect. Learn more about vaccine requirements.

Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

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Meaghan Charest-Finn
PhD.

Assistant Professor

Department of Automotive and Mechatronics Engineering

Faculty of Engineering and Applied Science

Contact information

2000 Simcoe Street North
Oshawa, Ontario L1G 0C5
Office: -

905.721.8668 ext. -
905.721.3370 (fax)

meaghan.charest-finn@ontariotechu.ca


Research topics

  • Advanced automation of complex systems
  • Model Predictive Control algorithms, Intelligent architectures to automate multi-physics processes
  • Mathematical modeling, optimization, and applied artificial learning methodologies

Education

  • Doctorate of Philosophy in Mechanical Engineering,University of New Brunswick, Canada, 2020
  • Masters of Science in Mechanical Engineering,University of New Brunswick, Canada, 2013
  • Bachelors of Science in Mechanical Engineering, University of New Brunswick, Canada 2010
  • Diploma in Mechanical Engineering Technology , New Brunswick Community College Canada, 2006

Courses

  • Mechatronics Design, undergraduate
  • Actuators and Power Electronics, undergraduate
  • Industrial Automation, undergraduate

Research and expertise

  • Model predictive controller and method with correction parameter to compensate for time lag (Awarded), Patent number: 10386796
  • Model Predictive Control Systems and Methods (PCT Application) : International Application Number CA2021050261
  • Industrial Process Optimization System and Method (PCT Application) : International Application Number 17/187566

Publications and presentations

  • Selected publications and presentations
    1. Wilson, J., Charest, M., & Dubay, R., Non-linear model predictive control schemes with application on a 2 link vertical robot manipulator. Robotics and Computer-Integrated Manufacturing, Vol. 41, pp.23-30, (2016)
    2. Zhang, S., Dubay, R., & Charest, M., A principal component analysis model-based predictive controller for controlling part warpage in plastic injection molding. Expert Systems with Applications, Vol. 42 (6), pp.2919-2927, (2015)
    3. Charest, M., & Dubay, R., MPC enhancement for tracking of complex profiles–The basic technique. Control Engineering Practice, Vol. 33, pp.136-147, (2014)
    4. Dubay, R., Hassan, M., Li, C., & Charest, M., Finite element based model predictive control for active vibration suppression of a one-link flexible manipulator. ISA transactions, Vol. 53 (5), pp.1609-1619, (2014)
    5. Dubay, R., Hu, B., Hernandez, J. M., & Charest, M., Controlling Process Parameters during Plastication in Plastic Injection Moulding Using Model Predictive Control. Advances in Polymer Technology, Vol. 33 (S1). (2014)
  • Conference Preceedings
    1. Charest M., Finn R., & Dubay R., Split Model MPC architecture for Complex Systems, IEEE International Systems Conference (SysCon), (2020)
    2. Charest, M., Dubay, R., & Finn, R., Integration of artificial intelligence in an injection moulding process for on-line process parameter adjustment. IEEE International Systems Conference (SysCon), (2018)
    3. Dubay S., Charest M., Shukla D., & Pan J., A Master Follower Device for Demonstrating Concepts of Modelling and Control. Canadian Society of Mechanical Engineers (CSME) - International Congress (2016)
    4. Finn R., Charest-Finn M., & Dubay R., Adaptive Scheme for Model Predictive Controllers to Minimize Undesirable Effects Caused by Data Loss & Noise. Canadian Society of Mechanical Engineers (CSME) - International Congress, (2014)
    5. Wilson J., Charest-Finn M., & Dubay R., Non-Linear Model Predictive Controller. Canadian society of Mechanical Engineers (CSME) - International Congress, (2014)
    6. Knopp Z., Charest-Finn M., & Dubay R., Comparison of a Second Order Dahlin and a PID controller on a Lightly Damped Mass Spring System. Canadian Society of Mechanical Engineers (CSME) - International Congress, (2014) 
    7. Charest, M., Dubay, R., & Everett, S., Complex trajectory tracking using MPC with prediction adjustment. IEEE International Conference on Robotics and Biomimetics (ROBIO), (2013)
    8. Charest, M., Dubay, R., & Hernandez, J.M., Cavity Peak Pressure Control During Packing Using Model Predictive Control Theory. In Society of Plastic Engineers (SPE) - ANTEC, (2011)
    9. Charest, M., Dubay, R., & Hernandez, J.M., A New Method for Controlling the Barrel Temperature in an Injection Molding Machine. Society of Plastic Engineers (SPE) - ANTEC, (2010)