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
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