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Steering Committee

Tony F Chan
Honorary Co-Chair

President, King Abdullah University of Science and Technology (KAUST), KSA

Alaa Khamis
Founding Chair

AI & Smart Mobility Technical Leader at General Motors, Canada

Gianluca Setti
General Chair

Dean, Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), KSA

Yehia Massoud
General Co-Chair

Director, Innovative Technologies Labs (ITL), King Abdullah University for Science and Technology (KAUST), KSA

Shehab Ahmed
General Co-Chair

Professor, Electrical and Computer Engineering Program Chair, King Abdullah University for Science and Technology (KAUST), KSA

Eesa Bastaki
SC Member

President, University of Dubai, UAE

SC Member​
Sudeendra Koushik

VP Conferences at IEEE TEMS, Chair at IEEE TEMS, India

SC Member​
Ravikiran Annaswamy

President, IEEE TEMS | CEO and CoFounder at Numocity Technologies, India

Dr. Alaa Khamis

Associate Professor and Director of AI for Smart Mobility Lab at KFUPM, Dhahran, KSA

Dr. Khalid Elgazzar

Canada Research Chair in the Internet of Things (IoT) | Associate Professor, Faculty of Engineering and Applied Science, Ontario Tech University, Canada

Dr. Mustafa El-Nainay

Dean, Faculty of Computer Science and Engineering, Alamein International University, Egypt

Dr. Eesa M. Al Bastaki

President, University of Dubai, UAE

Dr. Samy Eltawab

Professor, Department of Computer Science, James Madison University, USA

Eng. Mohamed Aboud

Vice President, IEEE TEMS | Innovation & Entrepreneurship Manager, University of Dubai

Dr. Sudeendra Koushik

President Elect 2024 & 2025 IEEE TEMS

Dr. Ravikiran Annaswamy

President, IEEE TEMS | Co-Founder & CEO, Numocity Technologies, India

Dr. Andrea Belz

Vice Dean of Transformative Initiative, University of Southern California, USA

Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
IEEESM'23 Registration
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
Overlay Image
Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
IEEESM'23 Registration
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
Panel Moderator
Panel Description
Panel Moderator
Overlay Image