Dr. Arnaud de La Fortelle has engineer degrees from the French École Polytechnique and École des Ponts et Chaussées (2 top French institutions) and a Ph.D. in Applied Mathematics (Probability Theory) prepared at Inria. His main topic of interest are cooperative systems (machine learning, data distribution, control, mathematical certification) and their applications (e.g. Autonomous driving, urban logistics). He has been director of MINES ParisTech’s Center for Robotics (2008-2021). He was Visiting Professor at UC Berkeley in 2017-2018. He has been elected in 2009 to the Board of Governors of IEEE Intelligent Transportation System Society and again in 2019. He has been member of several program committees for conferences and was General Chair of IEEE Intelligent Vehicles Symposium 2019 in Paris (900 attendees). He was member, then president of the French ANR scientific evaluation committee for sustainable mobility and cities in 2008-2017. He also serves regularly as expert for the European research program (FP7, H2020, Horizon).
In 2021, he took a full-time position as CTO at Heex Technologies while retaining a part-time position at MINES ParisTech. He co-founded this start-up company in 2019 and designed the technology behind Smart Data Management in a customer-oriented approach. Smart Data is a powerful way to address current and future Big Data limitations, especially needed for autonomous systems (Autonomous Driving, ADAS, Industry 4.0, Smart Cities...). Heex has already deployed its technology in Europe, USA and Asia (Korea).

Christoph Stiller studied Electrical Engineering in Aachen, Germany and Trondheim, Norway, and received the Diploma degree and the Dr.-Ing. degree (Ph.D.) from Aachen University of Technology in 1988 and 1994, respectively. He worked with INRS-Telecommunications in Montreal, Canada for a post-doctoral year as Member of the Scientific Staff in 1994/1995. In 1995 he joined the Corporate Research and Advanced Development of Robert Bosch GmbH, Germany. In 2001 he became chaired professor and director of the Institute for Measurement and Control Systems at Karlsruhe Institute of Technology, Germany. Dr. Stiller serves as immediate Past President of the IEEE Intelligent Transportation Systems Society, Associate Editor for the IEEE Transactions on Intelligent Transportation Systems (2004-ongoing), IEEE Transactions on Image Processing (1999-2003) and for the IEEE Intelligent Transportation Systems Magazine (2012-ongoing). He served as Editor-in-Chief of the IEEE Intelligent Transportation Systems Magazine (2009-2011). He has been program chair of the IEEE Intelligent Vehicles Symposium 2004 in Italy and General Chair of the IEEE Intelligent Vehicles Symposium 2011 in Germany. His automated driving team AnnieWAY has been finalist in the Darpa Urban Challenge 2007 and winner of the Grand Cooperative Driving Challenge in 2011.

WEI-BIN ZHANG is a Research Engineer at the California PATH Program, Institute of Transportation Studies of University of California at Berkeley (UCB). Mr. Zhang received advanced degrees in communication and control engineering from Northern Jiaotong University, where he has extensive training in safety design and safety verification for railway control system. In 1987, Mr. Zhang joined Institute of Transportation Studies and participated in the early founding of the California PATH Program. Mr. Zhang has become a national leader in Intelligent Transportation Systems (ITS) research. Between 1987 and 1994, his primary research is in the area of Advanced Vehicle Control and Safety Systems (AVCSS) technologies, among which he developed magnetic guidance system concept. Between 1994 and 1995, he was the Technical Director of National Automated Highway Systems Consortium (NAHSC), led by the U.S. Department of Transportation and General Motors. Since 1997, Mr. Zhang worked with California Department of Transportation, U.S. DOT and local agencies to establish various research and deployment programs at PATH He served on various Technical and program committees for TRB, ITS America and APTA. Mr. Zhang is a fellow member of IEEE and has been President in 2021 of IEEE ITS Society.

Andreas Festag is a professor at Technische Hochschule Ingolstadt and with the research and test center for vehicle safety CARISSMA. He is also deputy head at the Fraunhofer Application Center »Connected Mobility and Infrastructure«. Andreas has worked on various research projects for wireless and mobile communication networks and published more than 100 papers in journals, conference proceedings and workshops. His research is concerned with architecture, design and performance evaluation of wireless and mobile communication systems and protocols, with a focus on vehicular communication and Intelligent Transportation Systems (ITS). He is senior member of IEEE and chairman of ETSI Technical Committee ITS, working group Networking & Transport.
Andreas Festag received a diploma degree (1996) and Ph.D. (2003) in Electrical Engineering from the Technical University Berlin. As researcher, he worked with the Telecommunication Networks Group (TKN) at Technical University Berlin, Heinrich-Hertz-Institute (HHI) in Berlin, NEC Laboratories in Heidelberg, Vodafone chair Mobile Communication Systems at Technical University Dresden and Fraunhofer Institute for Transportation and Infrastructure Systems (IVI).

Tom Alkim is Strategic Advisor Connected & Automated Mobility at the Dutch company MAPtm. He has almost 25 years of experience in the public sector working in the field of dynamic traffic management, C-ITS and Connected & Automated Mobility for Rijkswaterstaat, Dutch Ministry of Infrastructure & Water Management and the European Commission, Directorate General Research & Innovation. He was part of the core team that was responsible for the Declaration of Amsterdam and the European Truck Platooning Challenge during the Dutch EU presidency in 2016. Tom is an International Member on the Transportation Research Board (TRB) Standing Committee on Vehicle-Highway Automation (ACP30).

Prof. Dr.-Ing. Frank Ole Flemisch started as an aerospace engineer with a specialization in systems engineering and system dynamics. After a couple of years in the management and training of safety critical systems in the German Airforce, he did his Ph.D. in Human Factors Engineering for Assistance and Automation at the University of German Armed Forces in Munich, which was the leading edge of autonomous driving and assistance system at that time. From 2001 to 2004 he pursued a NRC associateship on haptic-multimodal interaction with unmanned flying vehicles at NASA, Langley, USA. Transferring this work into the field of ground vehicles, he built up and led a research group for System Ergonomics & Design at the German Aerospace Center DLR, initiating and leading German and European projects on automotive assistant and automation systems, and served as the lead of a national standardization group and a technical expert in ISO TC204. From 2011 to 2014, he was head of the Department for Human Machine Systems, since 2014 leading the department of Human System Integration at the Fraunhofer FKIE institute near Bonn, Germany. He is also a Professor for Human Systems Integration at the RWTH Aachen University, Germany, and representing Germany in the STO-HFM Human Factors and Medicine Panel, the scientific advisory body of NATO. Frank Flemisch received a couple of best presentations and best paper awards. He is one of the principal scientist in a DFG cluster of excellence (Internet of production) of RWTH Aachen University, one of Germany Universities of Excellence.

Jan Becker is President, CEO and Co-Founder of Apex.AI, Inc. He is also the Managing Director of the Apex.AI GmbH, our subsidiary in Germany. Prior to founding Apex.AI, he was Senior Director at Faraday Future responsible for Autonomous Driving and Director at Robert Bosch LLC responsible for Automated Driving in North America. He also served as a Senior Manager and Principal Engineer at the Bosch Research and Technology Center in Palo Alto, CA, USA, and as a senior research engineer for Corporate Research at Robert Bosch GmbH, Germany.
Since 2010, Jan is Lecturer at Stanford University for autonomous vehicles and driver assistance. Previously, he was a visiting scholar at the University’s Artificial Intelligence Lab and a member of the Stanford Racing Team for the 2007 DARPA Urban Challenge. In 2019, Jan was appointed to serve on the external Advisory Board of MARELLI to provide strategic advice to the MARELLI Board. In 2018, he co-founded the Autoware Foundation and was on the foundation’s board of directors until 2020. Jan earned a Ph.D. in control engineering from the Technical University of Braunschweig, Germany, a master’s degree in mechanical and aerospace engineering from the State University of New York at Buffalo, USA, and a master’s degree in electrical engineering from the Technical University of Darmstadt, Germany.

Dr. Matthew Barth is Director of CE-CERT and also leads the Transportation Systems Research group, consisting of several full-time staff members as well as undergraduate and graduate students. Dr. Barth is a member of the Institute of Electrical and Electronic Engineers (IEEE) and serves on the IEEE Intelligent Transportation System Society’s Board of Governors. He is also a member of the IEEE Vehicular Technology Society, Transportation Research Board’s Transportation and Air Quality Committee, and New Technology Committee, and ITS America’s Sustainability Committee. He has also served on several National Research Council (NRC) committees. Professor Matthew Barth received his B.S. degree in Electrical Engineering/Computer Science from the University of Colorado in 1984, and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of California, Santa Barbara in 1986 and 1990, respectively. Dr. Barth was also a member of the technical staff in the Advanced Technologies Division of General Research Corporation, Santa Barbara from 1985 to 1986. From 1986 to 1987 he conducted research at the University of Tokyo as a visiting research student. Upon completion of his Ph.D., Dr. Barth was a visiting researcher at Osaka University, Japan, conducting research in systems engineering from 1989 to 1991. Dr. Barth joined the College of Engineering in 1991, conducting research in Electrical Engineering and at the Center for Environmental Research and Technology (CE-CERT). Dr. Barth was named the Yeager Families Professor of Engineering in 2007.

Bassam is a Junior Principal Investigator at the Chair of Embedded Software, RWTH Aachen University, Germany. He is the founder of the Cyber-Physical Mobility Group and Lab. His research interests include Distributed Decision-Making and Verification, Service-Oriented Software Architecture for Control Systems, and their applications to Connected and Autonomous Vehicles. He is the Principal Investigator of several projects.

Prof. Dr. Oliver Bringmann is directing the Chair for Embedded Systems and is serving as head of the department of computer science. He studied computer science at the University of Karlsruhe (KIT) and received the doctoral degree (PhD) in computer science from the University of Tübingen in 2001. Until April 2012 he was division manager of the research division Intelligent Systems and Production Engineering (ISPE) and member of the management board at FZI Karlsruhe. The Chair for Embedded Systems addresses design, analysis, and verification of distributed embedded systems and systems-on-chip as well as their application in the automotive, avionics, internet of things (IoT) and the medical domain. The trend towards autonomous systems in various application domains accompanied with the increasing demand for safety and security enforces the need for efficient stress tests under varying environmental conditions in order to build robust application-specific hardware/software architectures especially in the case of implementing machine-learning applications on embedded devices (edge computing). The research activities are in the area of design electronic design automation (EDA), embedded system design, technology projection & architectural exploration, timing and power analysis of embedded software, embedded AI architectures, hardware-enhanced security, and robust perception.