Seminar: Intelligent Control and Optimization of Smart Vehicle Systems with High Complexity, April 14
Learn about addressing the challenges of complex systems such as next-generation vehicles in this School of Manufacturing Systems and Networks seminar.
Intelligent Control and Optimization of Smart Vehicle Systems with High Complexity
Presented by Hicham Chaoui, Carleton University
Thursday, April 14, 2022
9–10 a.m.
Santa Catalina Hall (SANCA) 153, Polytechnic campus [map] and Zoom
Abstract
Complex systems, like next-generation vehicles, face numerous challenges that need to be addressed such as dynamic uncertainties, varying operating conditions, severe nonlinearities, aging and degradation and external disturbances. Several modeling/control and optimization techniques depend heavily on a precise model to provide satisfactory performance, which is a difficult undertaking for such complex systems due to numerous unpredictable factors. Intelligent techniques make use of engineering, mathematics, physics and data science to capture the behavior of these multiplex systems. This seminar discusses a variety of complex vehicle systems with their design, modeling, control and optimization challenges. Next, artificial intelligence is introduced as an enabling technology to cope with various uncertainties of higher magnitudes for future smart vehicle systems.
About the speaker
Hicham Chaoui holds bachelor’s, master’s and doctoral degrees in electrical engineering. He also received a second master’s degree in computer science and a PMI accredited graduate degree in project management. His career has spanned both academia and industry. From 2007 to 2014, he held various engineering and management positions in the Canadian industry. He is currently an associate professor at Carleton University, Ottawa, Ontario, Canada, and an affiliate professor at the University of Quebec, Canada. Prior to that, he was an Assistant Professor at Tennessee Technological University. His research interests include adaptive and intelligent control theory, artificial intelligence, machine learning, diagnosis/prognosis, energy/health-conscious autonomous systems, electric transportation, grid integration, to name a few. His scholarly work has resulted in over 150 journal and conference publications with more than 2750 citations. Chaoui is a senior member of IEEE and a registered professional engineer in the province of Ontario, Canada. He is also an Associate Editor of IEEE Transactions on Vehicular Technology, IEEE Transactions on Automation Science and Engineering, and several other journals. Dr. Chaoui is a recipient of the Best Thesis Award and the Governor General of Canada Gold Medal Award. He is also a recipient of the FED Research Excellence Award and the Top Editor Recognition from IEEE Vehicular Technology Society.