Registration

Organizing Committee

Nimrod Barshad

Nimrod Barshad

Painter, Sculptor, Conceptual Artist

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Nimrod Barshad
Sculptor, Conceptual Artist
+61986543210 /
Tankha Atska

Tankha Atska

Abstract Artist

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Tankha Atska
Abstract Artist
+61986543210 /
Nimrod Barshad

Nimrod Barshad

Painter, Sculptor, Conceptual Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Nimrod Barshad
Painter, Conceptual Artist
+61986543210 /
Tommy Martinez

Tommy Martinez

Painter, Conceptual Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Tommy Martinez
Painter, Conceptual Artist
+61986543210 /
Linda M. Dugan

Linda M. Dugan

Conceptual Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Linda M. Dugan
Conceptual Artist
+61986543210 /
Henry Merparlo

Henry Merparlo

Painter, Sculptor

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Henry Merparlo
Painter, Sculptor
+61986543210 /

Honorary Chair

Karim Chelli

President & Vice Chancellor at Canadian University Dubai, UAE

Executive Chair

Sherif Moussa

Dean, School of Engineering, Applied Science and Technology, Canadian University Dubai, UAE

General Co-Chairs

Khalid Elgazzar

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

Alaa Khamis

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

Program Co-Chairs

Tamer Abdellatif

Assistant Professor, School of Engineering, Applied Science and Technology, Canadian University Dubai, UAE

Yan-Fu Li

Director, Institute for Quality & Reliability, Tsinghua University Professor, Department of Industrial Engineering, Tsinghua University

Track 1: Smart Mobility Technologies

Hisham Rakha

Director of the Center for Sustainable Mobility, Virginia Tech

Track 2: City Planning for Smart Mobility

Hadi Otrok

Professor, Department of Electrical Engineering and Computer Science (EECS), Khalifa University

Rabeb Mizouni

Associate Professor, Department of Electrical Engineering and Computer Science (EECS), Khalifa University

Track 3: Smart Mobility Governance

To be announced

Keynote Chair

Mohsen Guizani

Professor of Machine Learning, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)

Publication Chair

Samy El Tawab

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

Finance Chair

Mohamed Aboud

VP Membership, Marketing, and Communications, IEEE TEMS

Publicity Chairs

Sherif Oteafy

Associate Professor, Telecommunication & Networking, Internet of Things, Tactile Internet

Maria De Fatima

Assistant Professor, Biomedical Engineering and Biotechnology, Khalifa University, UAE

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