Mahdi Shahbakhti, Ph.D., P.Eng.

Area of Study / Keywords

Machine Learning Control Energy And Environment Mechatronics Control Systems Automotive Fuel Cell HVAC Smart Buildings Dynamical Systems Mechanical Systems Combustion Renewable and Alternative Energy Sensors and Instrumentation

About

Webpage: https://sites.ualberta.ca/~mahdi

Education/Professional Development

• Post-doctoral Scholar, University of California Berkeley, USA, 2010 - 2012
• Ph.D. in Mechanical Engineering, University of Alberta, Canada, 2004 - 2009
• M.Sc. in Mechanical Engineering (Summa Cum Laude), KNT University of Tech., Iran, 2000 - 2003
• B.Sc. in Mechanical Engineering (Summa Cum Laude), KNT University of Tech., Iran, 1996 - 2000

Academic Appointments

• Professor, University of Alberta, Canada, 2024 - Present
• Associate Professor, University of Alberta, Canada, 2019 - 2024
• Adjunct Professor, Michigan Tech. University, USA, 2020 - Present
• Research Associate Professor, Michigan Tech. University, USA, 2019 - 2020
• Associate Professor, Michigan Tech. University, USA, 2017- 2019
• Assistant Professor, Michigan Tech. University, USA, 2012-2017
• Visiting Assistant Professor, KNT University of Technology, Iran, 2010
• Instructor and Research Scholar, University of Alberta, Canada, 2009

Industry Experience

• R&D Engineer, Iran Khodro Powertrain Company (IPCO), Iran, 2001 –2004
• R&D Engineer (Part time), Advanced Robotics and Automatic Systems (ARAS), Iran, 2000 - 2001
• Intern (Part time), Yekta Tahvieh Arvand Air Conditioning Industries, Iran, 1998 - 2000

Professional Activities

• Associate Editor, ASME Journal of Dynamic Systems, Measurement, and Control, 2017 - 2023
• Associate Editor, Int. Journal of Power-trains (Inderscience Publishers), 2014 - 2020
• Secretary of ASME Dynamic Systems and Control Division Executive Committee, 2023 - Present
• Elected Chair of ASME-DSC Automotive and Transportation Systems Technical Committee, 2020 - 2022
• Elected Chair of ASME-DSC Energy Systems Technical Committee, 2018 - 2020

Research

Research Interests

• Dynamic Modelling and Control of Energy Systems
• AI and Machine learning controls
• Fuel cell systems
• Electric, hybrid electric, and fuel cell vehicles
• Connected and Automated Vehicles
• Climate (HVAC) Control in Buildings and Vehicles
• Energy-Efficient Buildings with Smart Grid Integration
• Advanced Combustion Engines
• Alternative/Renewable Sources (Fuels; Solar Energy)

Publications: please visit this webpage

MEC E 442 - Vehicle Propulsion Systems

Analysis and design of vehicle propulsion systems including vehicles with different electrification levels (electric, hybrid electric, and internal combustion engine) and vehicles with different levels of autonomy (partial to full automation). Prerequisites: MATH 201. Restricted to year 4 or 5 engineering students.

MEC E 541 - Combustion Engines

History of basic cycles, combustion theory including ignition flame propagation and engine knock, cycle analysis with deviations from ideal cycles and performance characteristics, fuels, design and operation of carburation and injection processes, exhaust emissions measurements. Identification of design parameters and their effect on emissions. Prerequisite: MEC E 340.

MEC E 610 - Machine Learning Control for Engineering Applications

Development of control-oriented dynamic models using machine learning techniques. Optimal, adaptive and model predictive control techniques that are solved using methods of machine learning including support vector machines, neural networks, reinforcement learning and other methods of machine learning. Applications in broad linear and nonlinear engineering systems.

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