Organizing Committee 2

Nimrod Barshad
Sculptor, Conceptual Artist
Nimrod Barshad
Painter, Conceptual Artist
Tommy Martinez
Painter, Conceptual Artist

Speakers

Stephen L. Smith

Towards Safe Autonomy that Adapts to the Individual, University of Waterloo

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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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
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)
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