Prof. Alaa Khamis

Biography: 

Dr. Alaa Khamis works as AI & Smart Mobility Technical Leader at General Motors Canada. Additionally, he holds positions as a Lecturer at the University of Toronto, an Adjunct Professor at Ontario Tech University, and an Affiliate Member of the Center of Pattern Analysis and Machine Intelligence (CPAMI) at the University of Waterloo. Dr. Khamis is the vice-Chair of the Connected and Automated Vehicles Advisory Council (CAVAC) at the Canadian Standards Association (CSA). He is also an accomplished author with books such as “Smart Mobility: Exploring Foundational Technologies and Wider Impacts” and “Optimization Algorithms: AI techniques for design, planning, and control problems” to his credit. His research interests include smart mobility, connected and automated vehicles, algorithmic robotics, intelligent data processing and analysis, machine learning and combinatorial optimization. He published 5 books, an IEEE Standard and over 180 scientific papers in refereed journals and international conferences. He also filed 62 US patents, trade secrets and defensive publications.  For more detailed information, please visit his website: https://www.alaakhamis.org/.

Title:   AI for Smart Mobility: Exploring Opportunities and Potential Barriers

Abstract: 

Smart mobility is a wide umbrella for different systems and services to meet various end-user needs without compromising the collective good of the society and the environment. These systems and services are built based on advanced technologies and new business models such as circular economy, sharing economy, servitization, gig economy and passenger economy. Artificial intelligence (AI) is a foundational technology and a driving force behind several existing and emerging mobility systems and services we are currently witnessing.  Examples of existing & emerging systems and services include, but are not limited to, intelligent transportation systems, seamless integrated mobility systems, assisted and automated mobility, connected mobility, shared mobility, mobility-as-as-service, micro mobility and active mobility. The talk explores the intersection of smart mobility and AI, covering three common patterns for AI use, namely, situation awareness, automation, and optimization. Additionally, the talk discusses a few barriers that need to be properly handled to fully unlock AI’s potential as a pivotal enabler of smart mobility.