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Mahdi Shahbakhti is a Professor in the Department of Mechanical Engineering at the University of Alberta. He has a rich academic history, including a post-doctoral fellowship at the University of California Berkeley and various academic positions at Michigan Technological University. His research interests comprise dynamic modeling, control, and energy systems, with particular emphasis on artificial intelligence, machine learning controls, and advanced combustion engines. Shahbakhti's expertise also extends to energy-efficient buildings, smart grid integration, and the development of connected automated vehicles. He has published extensively on these topics, contributing to the advancement of knowledge in the field of mechanical engineering. His professional activities include editorial roles for prominent journals and leadership positions within the ASME community, highlighting his active involvement in engineering education and research.
University of Alberta • Edmonton, AB, Canada
Teaching and research in Mechanical Engineering with a focus on energy systems and control.
University of Alberta • Edmonton, AB, Canada
Engaged in research and teaching activities in the Mechanical Engineering department.
Michigan Technological University • Houghton, MI, USA
Contributing to research and teaching in the field of Mechanical Engineering.
Michigan Technological University • Houghton, MI, USA
Focused on advanced research in mechanical systems and controls.
Michigan Technological University • Houghton, MI, USA
Lectured and conducted research on advanced control systems.
KNT University of Technology • Iran
Engaged in teaching mechanical engineering topics.
Iran Khodro Powertrain Company (IPCO) • Iran
Conducted research and development in automotive technologies.
Advanced Robotics Automatic Systems (ARAS) • Iran
Assisted in research and development projects.
Yekta Tahvieh Arvand Air Conditioning Industries • Iran
Gained practical experience in HVAC systems.
Department: Mechanical Engineering and Engineering Management