Title: Towards a Dependable Model-Data Inspired Paradigm for Internet of Vehicles (IoV)
Abstract:
In this talk, we introduce a paradigm for a dependable IoV by leveraging the advantages of both model-based approaches and data analytics to enable the application of IoV for vehicle operational and safety-critical tasks. Sheer amount of data available in the vehicle and cloud combined with model-based techniques, will bring a new dimension to significantly improve vehicles’ safety, control, and reliability of ADAS and automated driving.
Biography:
Amir Khajepour is a professor of Mechanical and Mechatronics Engineering at the University of Waterloo. He holds Tier 1 Canada Research Chair in Mechatronic Vehicle Systems and Senior NSERC/General Motors Industrial Research Chair in Holistic Vehicle Control. His research has resulted in over 30 patents, 600 publications, many technology transfers, and start-up companies. He is a recipient of the Engineering Medal from the Professional Engineering Ontario, a fellow of the Engineering Institute of Canada, the American Society of Mechanical Engineering, and the Canadian Society of Mechanical Engineering.
