Dr. Arnaud de La Fortelle is co-founder and CTO of Heex Technologies. He designed the vision and the technology behind Smart-Data Management, a powerful way to address current and future Big Data limitations, especially needed for autonomous systems like Autonomous Driving, ADAS, Industry 4.0, or Smart Cities.
Arnaud has been professor and director (2008-2021) of the Center for Robotics of Mines Paris (PSL University). He was a Visiting Professor at UC Berkeley. He is an elected member of the Board of Governors of IEEE Intelligent Transportation System Society. He has been a member of several program committees for conferences and was General Chair of the IEEE Intelligent Vehicles Symposium 2019 in Paris. He was a member, and then president of the French ANR scientific evaluation committee for sustainable mobility and cities. He serves regularly as an expert for European research programs.

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.

Sascha Hornauer is an associate Professor at the École nationale supérieur des Mines de Paris - PSL at the Center for Robotics. He received his Dr.-Ing. (Ph.D.) in Informatics from the Carl-from-Ossietzky University of Oldenburg, Germany in 2016 for his work on emergency evasion trajectories for automated ships. He joined the Computer Vision group of Stella Yu at the University of Berkeley, California, USA for a postdoc between 2017 and 2020. In 2021 he started a tenure track at the Center for Robotics before becoming an associate Professor in 2023. His research interests lie in unsupervised computer vision and behavior prediction for autonomous driving and scene understanding and reconstruction from audio-visual data. Since 2022 he organizes the Interaction-driven Behavior Prediction and Planning for Autonomous Vehicles workshop at the IEEE Intelligent Vehicle Symposium and IEEE International Conference on Intelligent Transportation Systems. He has served as technical chair at the IEEE WACV2023/2024 and ECCV 2024 conference and became a committee member of the IEEE ITSS Self Driving Automobiles Technical Committee in 2024.

Dr. Manabu Tsukada is currently an associate professor at the Graduate School of Information Science and Technology, the University of Tokyo, Japan. He is also a designated associate professor at the Center for Embedded Computing Systems, Nagoya University, Japan. He received his B.S. and M.S degrees from Keio University, Japan, in 2005 and 2007, respectively. He worked in IMARA Team, Inria, France, during his Ph.D. course and obtained his Ph.D. degree from Centre de Robotique, Mines ParisTech, France, in 2011. During his pre and postdoc research stages, he has participated in a multitude of international projects in the networked ITS area, such as GeoNet, ITSSv6, SCORE@F, CVIS, Nautilus6, or ANEMONE. He served as a board member of the WIDE Project 2014-2022. His research interests are mobility support for the next-generation Internet (IPv6), Internet audio-visual media, and communications for intelligent vehicles.

Scott Moura is the Clare & Hsieh Wen Shen Distinguished Professor in Civil & Environmental Engineering and is an Associate Professor of Civil and Environmental Engineering at UC Berkeley. Moura’s research focuses on the areas of modeling, estimation, and control of energy systems. In January 2022, Moura became the new Faculty Director of the California Program for Advanced Transportation Technology (PATH) at Berkeley. In addition to his duties at PATH, Moura is also the Director of the eCAL, where he mentors undergraduate and graduate students, postdoctoral scholars, and visiting PhDs. Moura was presented with the ITS Faculty of the Year Award in 2020 in recognition of exemplary support of student research and education and his service to ITS. He is also the recipient of the ASME Division of Control Systems and Division Outstanding Young Investigator Award, National Science Foundation (NSF) CAREER Award, NSF Graduate Research Fellowship, and UC Presidential Postdoctoral Fellowship, among other notable accolades. Moura has served on the editorial board for the SAE International Journal of Connected and Automated Vehicles and has been a funding agency reviewer for the National Science Foundation, among others. Additionally, he is a member of several professional organizations, including the American Society of Mechanical Engineers, the Institute of Electrical and Electronics Engineers, and the Society of Hispanic Professional Engineers.

Dr. Eng. Catherine M. Elias is a lecturer in Computer Science and Engineering Department, Faculty of Media Engineering and Technology (MET) at the German University in Cairo (GUC). She received her Ph.D. degree in Mechatronics Engineering from the GUC in Dec. 2022 in the field of Cooperative Architecture for Transportation Systems. She is currently the director of the Cognitive Driving Research in Vehicular Systems (C-DRiVeS Lab), working in the field of connected vehicles and autonomous driving stack development. She serves as a Board of Governors (BoG) member in the IEEE ITS Society during the interval 2023-2025, the 2023-2025 Co-chair of the committee on Diversity, Equity, and Inclusion in ITS committee chair.

Dr. Matthieu Carré is Head of Research and Innovation at Heex Technologies, a French deep-tech startup specializing in Smart Data solutions to enhance artificial intelligence applications for robotic systems. He obtained his PhD in Computer Science from the Université de Pau et des Pays de l'Adour (UPPA) in December 2019 through a CIFRE partnership with Renault Group. His thesis, supervised by Prof. Ernesto Exposito (UPPA) and Javier Ibañez-Guzmann (Renault), focused on designing self-adaptive, autonomic frameworks for runtime safety assurance in Level 4 autonomous driving systems. Matthieu specifically applied his innovative approach to pedestrian safety scenarios, demonstrating practical implementation in real-world contexts using ROS1 middleware. Matthieu joined Heex Technologies as R&D Engineer in 2020, advancing to Engineering Team Lead on Embedded Agent and SDK in May 2023. Since January 2024, he has been serving as Head of Research and Innovation, leading projects in embedded and AI technologies. In this role, he has contributed to European projects, led initiatives focused on artificial intelligence and innovative solution design, and played a pivotal role in identifying and protecting intellectual property rights. He has also been instrumental in onboarding and supporting academic partners utilizing Heex's solutions in their research projects.

Peggy Wang is an assistant research engineer of the California Partners for Advanced Transportation (PATH) Program at UC Berkeley since June 2017. Peggy’s research focus is safety and human factors research in the transportation domain, including automobiles and intelligent transportation systems. She is particularly interested in the safety evaluation and human automation collaboration of highly automated driving systems. Through the years working at PATH, Peggy has led and delivered results for various research projects sponsored by the US Department of Transportation (USDOT), California Department of Transportation (Caltrans), the California State Transportation Agency (CalSTA), and private sector companies through the PATH affiliate industrial consortium called Berkeley Deep Drive (BDD).

Jeroen is committed to assist in creating a climate of change through radical innovation. Making public transport an accessible, cool and trustworthy experience. Understanding how commuters go through their travel process and imagining the future of sustainable​ freedom of movement. Testing zero-emission, shared, on-demand, door-2-door, self-driving transportation solutions for people and goods transit. Dedicating time and effort to really analyze, compare, and improve every aspect of mobility and their characteristics. He currently holds the position of Head of Innovation Automated Driving & Smart Mobility at TPG, the Public Transport Operator in Geneva, Switzerland, where he manages the AV related Horizon Europe AutoTrust, Avenue, CCAMbassador, Chorus, Ultimo, Enflate and Sinnogenes projects as well as the Dynamic Responsive Transport System tpgFlex and the Automated Depot project. His expertise on autonomous vehicles and understanding of intelligent transport systems enabled him to provide advise on the Swiss Act on L3 and L4 driving. He is a global AV technology scout, vice-chair automated mobility at the International Transport Union- UITP, lecturer, speaker, (co)-author different articles and books on automated mobility as well as member of the Swiss Association for Autonomous Mobility – SAAM and Pave Europe. Jeroen holds degrees in Automotive Engineering, Transport science and education.