Technical Committee

Technical Committee Members

Dr. Xu Fang Zhao

Senior System Engineer - Speech Recogntion senior System Engineer - Speech Recogntion General Moto

Dr. Tianyu Shi

Ph.D. Student, University of Toronto, Canada

Dr. Ramesh S.

Research Technical Fellow, General Motors, India

Dr. Enrico Zero

Assistant Professor of Automatic Control, Dept. of Computer Science, Bioengineering, Robotics, and Systems Engineering, University of Genova, Italy

Dr. Enrico Siri

Assistant researcher, INRIA Sophia-Antipolis, France

Dr. Amr Hilal

Virginia Tech University, United States

Dr. Nicos Komninos

Aristotle University of Thessaloniki | CEO, Intelspace Innovation Technologies, Greece

Dr. Gabriella Casalino

University of Bari Aldo Moro, Italy

Dr. Arata Endo

Information Initiative Center, Nara Institute of Science and Technology, Japan

Dr. Basem Shihada

Associate Professor, Computer Science, Electrical, and Mathematical Science and Engineering Division, King Abdullah University for Science and Technology (KAUST), KSA

Dr. Ahmad Salman

James Madison University, Virginia, USA

Dr. Mustafa El-Nainay

Faculty of Computer Science and Engineering AlAlamein International University, Matrouh, Egypt

Dr. Araya Kibrom Desta

AI Laboratory, Aichi, Japan

Dr. Heba M Abd El Atty

Port Said University | Huawei Academy Manager, Egypt

Dr. Hossam Farag

Department of Electronic Systems, Aalborg University, Denmark

Dr. Suliman Fati

College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

Dr. Ahmed Elnoshokaty

Northern Michigan University, USA

Dr. Toyokazu Akiyama

Graduate school of Frontier Informatics, Kyoto Sangyo University, Japan

Dr. Hiroshi Yamamoto

College of Information Science and Engineering Department of Information Science and Engineering, Ritsumeikan University, Japan

Dr. Masatoshi Kakiuchi

Information Initiative Center, Nara Institute of Science and Technology, Japan

Dr. Ibrahim A. Hameed

Norwegian University of Science and Technology, SMIEEE, Norway

Dr. Mohammed El-Abd

College of Engineering and Applied SciencesAssociate | Full Professor of Computer Engineering, American University of Kuwait (AUK), Kuwait

Dr. Mohamed Azab

Yanbu Industrial College, KSA

Dr. Islam Elgedawy

Faculty of Computer Science and Engineering , Alamein International University (AIU), Egypt

Dr. Bassem Mokhtar

United Arab Emirates University (UAEU), UAE

Dr. Ahmed Shaffie

Louisiana State University at Alexandria, LA, USA

Dr. Mohamed Khalefa

Suny Old Westbury University, USA

Dr. Ahmed Aboud

Huaiyin Institute of Technology, China

Dr. Suliman Fati

College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

Dr. Shaaban Abdallah

Professor of Aerospace Engineering & Engineering Mechanics, University of Cincinnati, USA

Dr. Marco Picone

Università di Modena e Reggio Emilia, Italy

Dr. Nazli Siasi

Christopher Newport University, USA

Dr. Puya Ghazizadeh

St. Johns University, USA

Dr. Ali Ismail Awad

United Arab Emirates University, UAE

Dr. Chris Bachmann

James Madison University, USA

Dr. Hanaa Shaker

Zagazig University, Egypt

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