Events
Machine Learning Control for Engineering Dynamic Systems
| Date: | Thursday 3 July 2025 11:00 - 12:00  |
| Location: | SEMS Seminar Room, 3rd floor, Engineering Building |
Professor Mahdi Shahbakhti, a Professor at the University of Alberta, Canada, is visiting the School of Engineering and Materials Science as a guest of Dr Amin Paykani, Lecturer in Sustainable Propulsion Systems, as part of the Royal Society's International Exchange Grant.
Title: Machine Learning Control for Engineering Dynamic Systems
Abstract: TBA
About the speaker: Professor of Mechanical Engineering at the University of Alberta in Canada, was previously a faculty member at Michigan Tech University (2012-2019), a post-doctoral scholar at the University of California-Berkeley (2010-2012) and received his PhD in Mechanical Engineering from the University of Alberta in 2009. His research has centred on developing data-driven/physical dynamical models and model-based control techniques with applications in energy systems in vehicles and buildings. He has co-authored more than 200 peer-reviewed publications in the field of controls and energy systems. His research has been funded by, among others, Canada Natural Sciences and Engineering Research Council, SSHRC, the US National Science Foundation, ARPA-E, the US Department of Energy, Ford Motor Company, General Motors, Toyota Motor Company, Cummins, and Westport. Dr Shahbakhti is the former chair (2020-2022) of ASME Dynamic Systems Control Division (DSCD) Automotive and Transportation Systems Technical Committee and the former chair (2018-2020) of Energy Systems Technical Committee. He served as the Associate Editor for ASME Journal of Dynamic Systems, Measurement, and Control (2017-2023), and the International Journal of Powertrains (2014-2020).
URL: sites.ualberta.ca/~mahdi/
| Contact: | Amin Paykani |
| Email: | a.paykani@qmul.ac.uk |
| Research Centre: | Intelligent Transport |