Towards Safe Autonomy that Adapts to the Individual, University of Waterloo
Stephen L. Smith
Towards Safe Autonomy that Adapts to the Individual, University of Waterloo
Stephen L. Smith is a Professor in Electrical and Computer Engineering at the University of Waterloo, Canada, where he holds a Canada Research Chair in Autonomous Systems. He is a the Co-Director of the Waterloo Artificial Intelligence Institute (Waterloo.AI) and the Director of the Autonomous Systems Lab. Prior to Waterloo, he was a postdoc in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT. He received his BSc degree from Queen’s University, his MASc degree from the University of Toronto, and his PhD degree from the University of California, Santa Barbara. Prof. Smith is a Professional Engineer and serves as an advisor for several startups in transportation and robotics including RideCo and Swap Robotics. He is on the editorial board of the IEEE Transactions of Robotics, the IEEE Transactions on Control of Network Systems, and the IEEE Open Journal of Systems and Control. He has served or is serving on the organizing committee for the 2024 American Control Conference, the 2021 IEEE RO-MAN and the 2026 MTNS. Prof. Smith has received several awards including the Early Researcher Award from the Province of Ontario, the NSERC Discovery Accelerator Supplement Award, and two Outstanding Performance Awards from the University of Waterloo. His main research interests lie in control and optimization for autonomous systems, with a focus on safe motion planning, future mobility-on-demand systems, and the interaction of humans with autonomy.
Organizing Committee
Founding Chair
Alaa Khamis
General Motors, Canada
General co-Chairs
Rong Zheng
McMaster University, Canada
General co-Chairs
Ernesto Damiani
Khalifa University, UAE
Executive Chair
Khalid Elgazzar
Ontario Tech University
Steering Committee
Steering Committee
Alaa Khamis
General Motors, Canada
Steering Committee
Khalid Elgazzar
Ontario Tech University
Steering Committee
Mohamed Aboud
Global Innovation & Entrepreneurship (GIE), UAE
Steering Committee
Andrea Belz
IEEE TEMS Chair
Founding Chair
Steering Committee
Sudeendra Koushik
IEEE TEMS President Elect 2024 & 2025
Program co-Chairs
Hesham A. Rakha
Virginia Tech, USA
Program co-Chairs
Haoxiang Lang
Ontario Teh University, Canada
Publication co-Chairs
Samy ElTawab
James Madison University, USA
Publicity Chairs
Sherif Oteafy
DePaul University, USA
Publicity Chairs
Patrick Hung
Ontario Tech University
Finance Chair
Mohamed Aboud
Global Innovation & Entrepreneurship (GIE), UAE
Technical Program Committee
Gabriella Casalino
University of Bari Aldo Moro, Italy
Basem Shihada
Associate Professor, Computer Science, Electrical, and Mathematical Science and Engineering Division, King Abdullah University for Science and Technology (KAUST), KSA
Ahmad Salman
James Madison University, Virginia, USA
Ahmad Taher Azar
College of Computer & Information Sciences (CCIS), Prince Sultan University, Saudi Arabia.
Habib Alshuwaikhat
Department of City and Regional Planning, King Fahd University of Petroleum and Minerals (KFUPM), KSA
Ismail Arai
Information Initiative Center, Nara Institute of Science and Technology, Japan
Amr Hilal
Virginia Tech University, U
Nicos Komninos
Aristotle University of Thessaloniki | CEO, Intelspace Innovation Technologies, Greece
Mustafa El-Nainay
Faculty of Computer Science and Engineering AlAlamein International University, Matrouh, Egypt
Mohab Mangoud
Department of Electrical and Electronics Engineering, College of Engineering, University of Bahrain (UOB)| IEEE Comsoc Bahrain Chapter Chair & R8 MDC member, Bahrain
Mohamed Tounsi
College of Computer & Information Sciences, Prince Sultan University, KSA
Suliman Fati
College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia
Ibrahim A. Hameed
Norwegian University of Science and Technology, SMIEEE, Norway
Hisham El-Sherief
Head of Industrial Automation Department at German University in Cairo and IEEE RAS Egypt Chapter Chair, Egypt
Shaaban Abdallah
Professor of Aerospace Engineering & Engineering Mechanics, University of Cincinnati, USA
Samar AbdelFattah
Smart City Business Consultant, INTRACOM-TELECOM, UAE
Ahmed Elnoshokaty
Northern Michigan University, USA
Ali Ismail Awad
United Arab Emirates University, UAE
Chris Bachmann
James Madison University, USA
Hanaa Shaker
Zagazig University, Egypt
Puya Ghazizadeh
St. Johns University, USA
Ahmed Alghamdi
Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
Marco Picone
Università di Modena e Reggio Emilia, Italy
Nazli Siasi
Christopher Newport University, USA
Bassem Mokhtar
United Arab Emirates University (UAEU), UAE
Ahmed Shaffie
Louisiana State University at Alexandria, LA, USA
Mohamed Khalefa
Suny Old Westbury University, USA
Ahmed Abboud
Huaiyin Institute of Technology, China
Hossam Yahia
Brightskies, Egypt
Mohammed El-Abd
College of Engineering and Applied SciencesAssociate | Full Professor of Computer Engineering, American University of Kuwait (AUK), Kuwait
Mohamed Azab
Yanbu Industrial College, KSA
Islam Elgedawy
Faculty of Computer Science and Engineering , Alamein International University (AIU), Egypt
Ahmed Al Jizani
Transport General Authority, KSA
Toyokazu Akiyama
Graduate school of Frontier Informatics, Kyoto Sangyo University, Japan
Hiroshi Yamamoto
College of Information Science and Engineering Department of Information Science and Engineering, Ritsumeikan University, Japan
Masatoshi Kakiuchi
Information Initiative Center, Nara Institute of Science and Technology, Japan
Arata Endo
Information Initiative Center, Nara Institute of Science and Technology, Japan
Araya Kibrom Desta
AI Laboratory, Aichi, Japan
Ali Rafiei
General Motors, Canada
Muhamad Felemban
Computer Engineering Dept, King Fahd University of Petroleum and Minerals (KFUPM), KSA
Hossam Farag
Department of Electronic Systems, Aalborg University, Denmark
Heba M Abd El Atty
Port Said University | Huawei Academy Manager, Egypt
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The IEEE International Conference on Smart Mobility (SM) is designated for reporting recent research and development results in smart mobility systems and services, their challenging problems, and their potential applications.
Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions.
On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems.
This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
Ramesh S
Senior Technical Fellow, General Motors, USA
Panel Moderator
Arun Adiththan
Senior Researcher, General Motors, USA
Panel Moderator
Panel Description
Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions.
On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems.
This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
Ramesh S
Senior Technical Fellow, General Motors, USA
Arun Adiththan
Senior Researcher, General Motors, USA