Dr Xiaoxiang Na is a University Assistant Professor in the Department of Engineering at the University of Cambridge. His research focuses on energy consumption modelling and digital twinning of road freight vehicles. His work covers dynamic monitoring of vehicle operations, identification of vehicle operational parameters, prediction of vehicle energy consumption, modelling and analysis of energy-efficient driving behaviour, and vehicle dynamics and control.

Dr Na is the Cambridge Centre Lead for TransiT – Digital Twinning Research Hub for Decarbonising Transport, a major UK research programme funded by the Engineering and Physical Sciences Research Council (EPSRC), with £1.04 million awarded to the University of Cambridge. He leads Cambridge’s research activities in collaboration with seven UK universities and over 70 industry partners, developing digital twin technologies to support the UK’s transition to net-zero.

Dr Na has secured over £1.3 million in research funding as Principal Investigator and has published more than 70 papers in international journals and conferences. He currently serves as Associate Editor-in-Chief of the Chinese Journal of Mechanical Engineering, and Associated Editors of the IEEE/CAA Journal of Automatica Sinica and the IEEE Transactions on Intelligent Vehicles. He also holds in professional leadership roles across several international technical committees and organisations.

Chen Lv is an Associate Professor at School of Mechanical and Aerospace Engineering, NTU. He also holds appointments including Research Director (Engineering & Physical Sciences) at NTU President’s Office, Cluster Director in Future Mobility Solutions at ERI@N, Thrust Lead in AI at Continental-NTU Corp Lab, and Director of MSc in Robotics and Intelligent Systems programme. He joined NTU and founded the Automated Driving and Human-Machine System (AutoMan) Research Lab since June 2018. His research focuses on autonomous driving, robotics and embodied AI, where he has published 4 books, over 200 papers, and obtained 12 granted patents. He serves as Senior Editor for IEEE T-ITS, Associate Editor for IEEE TVT, IEEE TMM, IEEE THMS, etc. He received many awards and honors, selectively including Nanyang Research Award (Young Investigator) 2021, SAE 2023 Ralph R. Teetor Award, Champions of Waymo Open Dataset Challenges at CVPR (2021, 2024), NeurIPS 2022 Driving SMARTS Competition Most Innovative Award, CVPR 2023 nuPlan Planning Challenge Innovation Prize, ITSC 2023 Best Paper Runner-Up Award, IEEE CIS-RAM 2024 Best Paper Award, Champion of A2RL Autonomous Racing Sim-Sprint Competition 2025 (the world’s largest F1-type autonomous racing league), IEEE ITSC 2025 Best Paper Award (First Prize), etc.

Sun Hongbin is a Distinguished Professor of National Talents. He serves as Vice Dean of the School of Artificial Intelligence, Xi’an Jiaotong University, Deputy Director of the National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, and Deputy Secretary-General of the Chinese Association of Automation. His research interests cover embedded vision, autonomous intelligent systems and intelligent chips. Keeping pace with the international academic frontiers and major national strategic needs in the above fields, he has published numerous papers in top-tier academic conferences and journals in integrated circuits and artificial intelligence. Four of his papers have won Best Paper Awards or Best Paper Nomination Awards. He holds more than 40 national invention patents. He has received a number of major research and teaching honors, including the Second Prize of National Technological Invention, the First Prize of National Teaching Achievement Award, the First Prize of Shaanxi Provincial Natural Science Award, the First Prize of Natural Science Award of the Chinese Association of Automation, and the Qiushi Outstanding Young Scholar Award for Artificial Intelligence Education and Research.

 Dr. Xinhu Zheng is an Assistant Professor and Associate Researcher at the Intelligent Transportation Thrust of The Hong Kong University of Science and Technology (Guangzhou). He also serves as a PhD supervisor. Dr. Zheng received his Ph.D. in Electronic and Computer Engineering from the University of Minnesota, Twin Cities. His research primarily focuses on trustworthy perception, behavior modeling, and decision optimization for intelligent transportation and autonomous driving. He has published more than 50 high-impact papers. His significant contributions to multi-modal sensor fusion and connected autonomous vehicles earned him the First-Class Natural Science Award from the Chinese Association of Automation in 2023. He is a recipient of the National Natural Science Foundation of China’s Excellent Young Scientists Fund (Overseas) and was recognized as an Outstanding Young Engineer at the 8th China-U.S. Engineering Frontiers Symposium.

About me: I was always fascinated by verification (defined here as“the process of finding bugs before they annoy a customer / destroy a project / kill somebody”). I initiated several verification-related standards, including the e verification language and OpenScenario DSL.

I founded Verisity to commercialize the e language and related tools and methodologies for HW verification. Later I co-founded Foretellix to create tools and methodologies for the verification of intelligent autonomous systems (with a focus on autonomous vehicles).

Saber Fallah is Professor of Safe AI and Autonomy and the Director of CAV-Lab at the University of Surrey. He is an internationally recognised expert in the field of Safe AI and Autonomous Systems, focusing on the application of these technologies in self-driving cars and autonomous robotic systems. He leads pioneering research that seeks to ensure the safety, reliability, and trustworthiness of AI systems used in autonomous systems. Prof Fallah has a rich academic background, with numerous publications in leading journals and conferences, and has contributed significantly to the development of new methodologies and frameworks for the assurance of AI-driven systems. His work is characterised by a strong interdisciplinary approach, bridging the gap between computer science, engineering, ethics, and public policy to address the complex challenges posed by the integration of AI in autonomous technologies. He is committed to fostering collaboration between industry, government, academia, and local communities. He actively engages with stakeholders across these sectors to ensure that the development of self-driving vehicles is both technologically advanced, socially responsible, and aligned with public interests.

Fan Hailong, General Manager of the Electronic Information Division of China Merchants Vehicle Inspection Technology Research Institute Co., Ltd., and Deputy Director of National Intelligent Connected Vehicle Quality Inspection Center (Chongqing). He has long been committed to key technological research and evaluation system establishment in intelligent driving safety, intelligent driving performance, automotive artificial intelligence, intelligent cockpit, information security and other fields. He concurrently serves as Secretary-General of the Automotive Special Committee of the Global AI Governance Alliance, Member of the Automotive Big Data Application Branch of China Society of Automotive Engineers, and Off-campus Supervisor of Beijing Institute of Technology. He has been awarded honors including Chongqing Model Worker, provincial and ministerial-level Innovation Award, and the Special Prize of Provincial & Ministerial Technical Outstanding Figure. He led the development of AI-SAP (Automotive Intelligent Safety Assessment Procedure), AI-STAR (Automotive AI Safety Assessment Regulation) and AI-CAP (Automotive Intelligent Cockpit Assessment Procedure). His pioneering achievements in intelligent connected vehicle safety assessment mark important technological milestones and greatly advance the development of China’s assessment technology system for intelligent connected vehicles.

Hong Wang is an Associate Researcher at the School of Vehicle and Mobility, Tsinghua University, and serves as the Director of the Intelligent Mobility Institute. She has long been committed to research on decision-making and safety of the intended functionality for autonomous driving, and has published over 70 papers in high-quality academic journals and conferences in the automotive field over the past five years. In recent years, she has led or participated as a key member in more than ten research projects. She currently serves as the Executive Lead of the CAICV Working Group on Safety of the Intended Functionality for Intelligent Connected Vehicles and as Deputy Secretary-General of the Youth Committee of the China Society of Automotive Engineers (SAE-China). Her major academic affiliations include Associate Editor for IEEE Intelligent Transportation Systems, Associate Editor for IEEE Transactions on Vehicular Technology, Associate Editor for IEEE Transactions on Intelligent Vehicles, Youth Communication Expert for Engineering, and Scientific Editor for Automotive Innovation.

FuSa & SOTIF Experts, skilled of ISO26262, SOTIF and Automotive R&D Process.

Responsible for L2/L3/L4 Scalable Safety Platform，provide complete FuSa & SOTIF design, as well as development, testing and V&V solutions. 

Focus on implementing the FUSA and SOTIF methodologies at the ADAS and ADS product levels, addressing related engineering issues, and emphasizing a true safety loop.

Wang Jianqiang is a professor and doctoral supervisor at the School of Automotive Engineering, Tsinghua University. He is a specially-appointed professor of the "Changjiang Scholars Program" by the Ministry of Education, a recipient of the National Science Fund for Distinguished Young Scholars, the leader of an innovative research group project funded by the National Natural Science Foundation of China, a member of the National High-level Talent Plan, and a fellow of the China Association of Automotive Engineering. He currently serves as the dean of the School of Mechanical Engineering, the dean of the School of Automotive and Vehicle Engineering, the dean of the Tsinghua University Suzhou Automotive Research Institute, the director of the Joint Laboratory of Internet of Vehicles (IoV) between the Ministry of Education and China Mobile, the director of the Joint Research Center of Tsinghua University and Didi Future Mobility, the director of the Intelligent and Connected Vehicles and Transportation Research Center at Tsinghua University, the chief editor of the Journal of Intelligent and Connected Vehicles, and the associate editor of IET Intelligent Transport Systems. He primarily focuses on research in the fields of intelligent vehicle safety and vehicle intelligence technology. He has received more than ten scientific and technological awards, including two second prizes of the National Technological Invention Award, two second prizes of the National Science and Technology Progress Award, one first prize each for Technological Invention and Scientific and Technological Progress from the Ministry of Education, one first prize of the Beijing Science and Technology Progress Award, and one special prize for Technological Invention from the China Association of Automotive Engineering. He has published over 280 SCI/EI papers, authored books such as "Automotive Intelligent Safety" and "Intelligent and Connected Vehicles", presided over and participated in the development of ten standards, obtained more than 240 national invention patents, and won six Best Paper Awards.

Wang Hai, born in 1983, received his Ph.D. degree in Engineering and is currently a professor and doctoral supervisor at Jiangsu University. He earned his bachelor’s and doctoral degrees from Southeast University, and was a visiting scholar at Michigan State University (USA) and the University of Hong Kong. He is a senior member of IEEE, a senior member of the Society of Automotive Engineers of China (SAE-China), a member of the Youth Committee of SAE-China, and a youth editorial board member of the journal Automotive Engineering.

His research focuses on complex environment perception, cognition, and decision-making technologies for intelligent vehicles. He has led more than 10 national and provincial/ministerial research projects, including projects under the National Key R&D Program of China, General Projects of the National Natural Science Foundation of China, Jiangsu Provincial Frontier Technology R&D Program, and Jiangsu Provincial Key R&D Program. He has received three first prizes and two second prizes at the provincial/ministerial level. He has published over 60 high-quality papers, including more than 20 full-length articles in IEEE Transactions and 5 ESI hot/highly cited papers. He has been selected as a Young and Middle-aged Academic Leader of the "Qinglan Project" in Jiangsu universities and a high-level talent of the "Six Talent Peaks" Project in Jiangsu Province. He has also received honors such as the Outstanding Young Science and Technology Talent Award of China’s Automobile Industry.

Professor at Tsinghua University. Fellow of IEEE and CAA. He is now engaged in scientific research in artificial intelligence, intelligent transportation, and autonomous vehicles for an extended period. He published over 200 SCI-indexed papers as the first or corresponding author, receiving multiple best paper awards from internationally renowned journals and conferences. He currently serves as an editorial board member for IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, Transportation Research Part C, and the Journal of Automatica Sinica.

Guofa Li is a professor from Chongqing University. He is a Xiaomi Young Scholar, a China Association for Science and Technology (CAST) Young Talent, and a candidate for Chongqing's Academic and Technical Leadership Program. He received his bachelor's degree in 2010 from Beijing Institute of Technology and his Ph.D. in 2016 from Tsinghua University. He jointly studied at University of Michigan, USA, from 2012 to 2013. His research focuses on perception and decision-making technologies for intelligent vehicles in complex environments. As the first or corresponding author, he has published over 70 SCI papers, with 9 selected as ESI highly cited articles. He has been ranked among the top 2% of scientists globally for four consecutive years. He has led one National Key R&D Program project, one National Natural Science Foundation General Program, and three provincial/ministerial-level projects. He is serving as the Joint Chair of the IEEE Intelligent Transportation Systems Society (ITSS) Human Factors Technical Committee. Meanwhile, he is also the Associate Editor for three SCI journals including IEEE T-ITS, and a young editorial board member for six journals such as Journal of Mechanical Engineering, China Journal of Highway and Transportation, and Automotive Innovation. He has been recognized as an outstanding young editorial board member by China Journal of Highway and Transportation for four consecutive years and has organized three special issues, including "Perception, Decision-Making, and Control of Intelligent Connected Vehicles" in the journal.

Dr. Hongbo Gao is currently a Researcher and Doctoral Supervisor at the University of Science and Technology of China (USTC), having previously held positions at Tsinghua University, Alibaba, and Baidu. His core research focuses on the R&D and industrialization of key technologies in intelligent driving and robotics. He has led over 20 national and provincial/ministerial-level projects and published more than 100 JCR Q1/Q2 SCI-indexed papers. His work has garnered over 4,800 citations on Google Scholar, with 7 papers selected as ESI Highly Cited Papers. Furthermore, he holds over 30 authorized domestic and international patents as the first inventor. Dr. Gao's accolades include the Gold Medal at the 49th International Exhibition of Inventions Geneva, the First Prize of the Anhui Provincial Science and Technology Progress Award, the First Prize of the China Machinery Industry Science and Technology Award, and the NVIDIA Global Young Scientist Award. He has also been recognized as an Innovative Leading Talent of Anhui Province and a recipient of the Anhui Provincial Outstanding Youth Science Foundation. He serves as an Academic Committee Member of the National Key Laboratory of Intelligent Vehicle Safety Technology and a Council Member of the Chinese Institute of Command and Control. Additionally, he acts as an Associate Editor for top-tier international AI journals such as IEEE TNNLS. Having delivered over 20 invited reports at major domestic and international conferences, Dr. Gao exerts extensive influence across both academia and industry.

Ling Han is a Professor and Ph.D. Supervisor at Changchun University of Technology. She has been selected for the National High-Level Young Talent Program, Jilin Provincial High-Level Talent Program, and Changchun Talent Program. She is a senior member of China Society of Automotive Engineers and a committee member of the Active Safety Standards Committee of SAE International. Her research mainly focuses on intelligent connected vehicle safety, testing and evaluation, and vehicle powertrain control technologies. She has led more than 30 national and provincial research projects, including grants from the National Natural Science Foundation of China and the National Key R&D Program of China, as well as over 10 industry-sponsored projects. In the past five years, she has published more than 40 SCI/EI-indexed papers as first or corresponding author, obtained 16 authorized invention patents in China, and contributed to the development of two international SAE standards and three domestic industry standards. As the first contributor, she received the Jilin Provincial Science and Technology Progress First Prize in 2024.

Dr. Kaidi Yang is an Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore. His research integrates transportation, operations research, and robotics, with a focus on developing efficient and trustworthy algorithms for the design and operation of future mobility systems. His work particularly addresses connected and automated vehicles, electric vehicles, and shared mobility. Before joining NUS, he was a postdoctoral scholar with the Autonomous Systems Lab at Stanford University. He received his Ph.D. from ETH Zurich in 2019, M.Sc. in Control Science and Engineering from Tsinghua University in 2014, and dual bachelor’s degrees in Automation and Mathematics from Tsinghua University in 2011.

Hao (Frank) Yang is an assistant professor in the Department of Civil and Systems Engineering and a member of the Data Science and AI Institute. His innovative research centers around developing Trustworthy Machine Learning and data science methods to improve the Equity, Safety, and Sustainability of Urban Systems, especially in human mobility, transportation and public health. This includes developing new sensors and data-driven perception solutions, creating ethical and trustworthy machine-learning methods, and building human-machine cooperative traffic systems.

Yang is an active member of several standing committees within the Transportation Research Board and the American Society of Civil Engineers Transportation & Development Institute’s AI Committee. His achievements include receiving the Michael Kyte Outstanding Student of the Year Award from the U.S. Department of Transportation in 2022, the 2022 High-Value Research Award from the American Association of State Highway and Transportation Officials, the Best Paper Award from the Transportation Research Board Information Systems and Technology Committee in 2023, and both the Best and Outstanding Dissertation Award from the Chinese Overseas Transportation Association and the Transportation Research Board in 2024.

 Heye Huang is an Assistant Professor at the Cho Chun Shik Graduate School of Mobility, KAIST, where she leads the ACES Lab. Her research focuses on safe and trustworthy autonomy for autonomous driving and embodied intelligence, with interests in risk perception and assessment, interactive decision-making, generative AI and world models, and foundation models and agents. Before joining KAIST, she was a Postdoctoral Associate at the MIT SMART Center and a Research Associate at the University of Wisconsin-Madison. She received her Ph.D. from Tsinghua University. Her work aims to advance reliable AI for autonomous mobility, intelligent transportation, and other safety-critical systems.

Hamid Reza Karimi is a Professor of Applied Mechanics at Politecnico di Milano, Italy, focusing his research on intelligent control and vibration systems for vehicles and mechatronics.

He is an ordinary Member of Academia Europaea (MAE), Member of European Academy of Sciences and Arts (EASA), Member of The European Academy of Sciences (MEurASc), Member of Agder Academy of Science and Letters in Norway, Member of National Academy of Artificial Intelligence (NAAI), Honorary Academic Member of National Academy of Sciences of Bolivia, Distinguished Fellow of the International Institute of Acoustics and Vibration (IIAV), Fellow of The International Society for Condition Monitoring (ISCM), Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and also a member of the board of Directors of The International Institute of Acoustics and Vibration (IIAV) and member of Management Committee of The International Society for Condition Monitoring (ISCM).

Prof. Karimi is the recipient of the 2025 NAAI Distinguished Artificial Intelligence Scholar Award, the 2021 BINDT CM Innovation Award, the Web of Science Highly Cited Researcher in Engineering, JSPS Research Award, and Alexander-von-Humboldt-Stiftung research Award, for instance. In 2024, he ranked 37th worldwide in Industrial Engineering & Automation on the Top 2% Scientists list. He has served as vice-president for International Prize "Lombardia è ricerca". Additionally, Prof Karimi is the President of the 2026 China-Europe Scientists Forum and he is an Honorary Visiting Professor in the School of Computing & Engineering at the University of Huddersfield, UK.

Cao Yaoguang is a Professor from Beihang University and a recipient of the National High-Level Young Talents honor. He has long been dedicated to the research on basic theories and key technologies concerning the "monitoring-evaluation-protection" of intelligent and connected vehicle safety & security. He has presided over more than ten research projects, including projects under the National Key R&D Program of China. He has published over 60 academic papers, obtained 70 invention patents, and compiled 3 books. He has been awarded two Second Prizes of the National Science and Technology Progress Award and five provincial and ministerial-level science and technology awards. He currently holds concurrent posts such as Deputy Director of the National Technical Innovation Center for Market Regulation (New Energy Vehicle Digital Supervision Technology and Application) and Secretary-General of the Intelligent and Connected Vehicle Safety Branch of China Society of Automotive Engineers.

Yu Du Postdoctoral Researcher, Research Institute for Road Safety, Ministry of Public Security. She received her Ph.D. in Traffic Information Engineering and Control from Beijing Jiaotong University. From 2021 to 2022, she conducted collaborative research as a visiting scholar at the Department of Civil and Environmental Engineering, ETH Zurich, Switzerland.

Dr. Du has long been dedicated to theoretical research and technical development in the fields of intelligent connected vehicle planning and control, as well as simulation and testing of complex systems. Her work focuses on decision-making and planning algorithms for autonomous vehicles, automated generation of high-risk test scenarios, and the construction and validation of high-fidelity simulation and testing platforms, establishing a comprehensive research framework that bridges theoretical innovation with system-level implementation. Her research findings have been published in top-tier academic journals in intelligent transportation, such as Transportation Research Part C.

Guo Yunchuan (born January 1977) holds a Ph.D. and is a professor and doctoral supervisor. He has led or participated in six research tasks under the National Key R&D Program of China and two key projects funded by the National Natural Science Foundation of China (NSFC). He has received one first prize and two third prizes at the provincial/ministerial level, as well as the President’s Award of the Chinese Academy of Sciences.

His research interests include protocol analysis, access control, and privacy protection. He has published or had accepted more than 60 papers in international/domestic journals and conferences, including IEEE TIFS, Computers & Security, JPDC, Science China, SIGIR, and INFOCOM. He has served as a reviewer for multiple journals and conferences, including IEEE TIFS, Computers & Security, Chinese Journal of Computers, and Journal on Communications.

Yufeng Li, Professor and PhD Supervisor at Shanghai University, serves as the head of the network space security program at Shanghai University. He is the academic leader in Intelligent Connected Vehicle (ICV) network security at Purple Mountain Laboratory and Songshan Laboratory, and the director of the Shanghai ICV Network Security Industrial Collaborative Innovation Center. Additionally, he holds the position of Executive Director of the Shanghai Key Laboratory of ICV Network Security. He is recognized as an expert in the National Key Special Project on New Energy Vehicles and serves as the deputy director of the ICV Safety Committee under the China Automotive Engineering Society, as well as the deputy director of the Artificial Intelligence Committee of the China Network Space Endogenous Security Alliance.

Yufeng Li has long dedicated his research to vehicle networking security and ICV security . His notable achievements include authoring 3 monographs, publishing over 100 papers, and securing 42 national invention patents. He has received 4 provincial or ministerial-level technology invention and scientific progress first prizes and 2 second prizes. His work focuses on advancing cybersecurity frameworks for smart vehicles and networked transportation systems.

Tianying XIE, Ph.D., associate researcher fellow, member of the Jiusan Society, postdoctoral fellow jointly trained by China Automotive Engineering Research Institute and Chongqing University, currently serves as an Information Security Expert at the Integrated Security Technology Center of the Information and Intelligence Division of China Automotive Engineering Research Institute. He has long been engaged in research on privacy-preserving computing, AI security, and trustworthy data, and serves as a council member of the Chongqing Computer Society and the Chongqing Artificial Intelligence Society. Over the past 5 years, he has led 1 provincial level R&D project, participated in 2 provincial level R&D project, published more than 10 SCI/EI-indexed articles in international journals/conferences, authorized 2 China patents, and contributed to the formulation and revision of multiple international, industry, and group standards in related fields. He presided over the release of 1 white paper titled "Privacy-preserving Computing for Intelligent and Connected Vehicles (2025)" in State Key Laboratory of Intelligent Vehicle Safety Technology.

Specializing in cybersecurity testing and assessment for intelligent connected vehicles (ICV) over the years, Keyi ZHU has provided key technical support for industry standard and policy development.

Keyi ZHU served as a major contributor to two national mandatory standards: GB 44495-2024 Road Vehicles — Cybersecurity Technical Requirements and GB 44496-2024 Road Vehicles — General Technical Requirements for Software Upgrades. Additionally, Keyi ZHU led the full-vehicle penetration testing program at China Software Testing Center for four consecutive years from 2020 to 2023.

With in-depth mastery of industry regulations, standards and policies, Keyi ZHU has solid hands-on experience in professional assessment and technical review.

Keyi ZHU holds officially recognized credentials issued by the Certification and Accreditation Research Center of SAMR, including qualified Quality Manager and Technical Manager for inspection & testing laboratories, authorized signatory qualification, as well as internal auditor certifications for national metrology accreditation and laboratory accreditation systems.

Dr. Chongfeng Wei is an Associate Professor at the University of Glasgow, where he leads the Interactive Versatile Automation (IVA) research group. His research focuses on the dynamic behaviour of mechanical systems and the modelling and control of complex human–robot–environment interactions, with a particular emphasis on autonomous vehicles. His research has been successfully translated into industrial applications in collaboration with European Nissan and Jaguar Land Rover UK. He has led multiple research projects funded by the European Commission, EPSRC, the UK Department for Transport, and the Royal Society, securing over £1.2 million funding as PI. Dr. Wei has authored more than 100 peer-reviewed publications in the areas of system dynamics in intelligent vehicles and robotics. He has received four international best paper awards and was a finalist for the UKRI AI & Robotics Research Award. He is a Fellow of the UK Higher Education Academy and a Senior Member of IEEE.

Hongming Xu is Professor of Mechanical Engineering at the University of Birmingham and Distinguished Professor at Tsinghua University. He received his BEng and MSc degrees from Hefei University of Technology and completed his PhD at Imperial College London in 1995, where he later worked as a Research Fellow and Senior Research Fellow.

Before joining the University of Birmingham in 2005, Professor Xu worked in the R&D Department of Jaguar Cars UK, holding roles including Project Engineer, Team Leader, Technical Specialist, and Programme Leader for the UK Foresight Vehicle project CHARGE@CHASE. He also served on Ford Motor Company’s Global HCCI Technology Advisory Committee. Professor Xu currently directs the Centre for Advanced Powertrain and Vehicle Technologies and the Birmingham Centre for Automotive Research and Education. His research focuses on AI-driven powertrain optimisation and control, advanced combustion, hybrid propulsion systems, and sustainable transportation technologies. He has published over 300 journal papers and 200 conference papers, supervised nearly 50 PhD graduates, and is a Fellow of both IMechE and SAE International.

Professor and PhD Supervisor at the School of Vehicle and Mobility, Tsinghua University. He serves as Director of the National Key Laboratory Alliance for Intelligent New Energy Vehicle Chassis, Fellow of the China Society of Automotive Engineers, Chairman of the Intelligent Chassis Branch, Director of the Working Group for Brake-by-Wire and Chassis Intelligent Control, Leader of the Overall Expert Group for Technical Roadmap of Intelligent Chassis for Electric Vehicles, and Member of the Organizing Committee as well as Chairman of the Program Committee of the World Congress on Electric Vehicle Intelligent Chassis.

He has long been dedicated to the research and industrialization of high-performance braking, hybrid drive and intelligent chassis technologies. He has conquered three core key chassis technologies: regenerative braking, coupled drive and intelligent chassis. He has successively led the development of three major system equipment: regenerative braking system, electrified drive assembly and intelligent chassis, all of which have been applied in large-scale industrialization.

His academic achievements have been awarded three National Science and Technology Second Prizes, two Beijing Science and Technology First Prizes, one Special Prize and two First Prizes of China Automotive Industry Science and Technology Progress Award.

Bo Leng, PhD, is a tenured Associate Professor and PhD Supervisor at the College of Automotive and Energy Engineering, Tongji University. He also serves as Deputy Director of the Intelligent Vehicle Research Institute. He is supported by the Youth Science Fund Project (Category B) of the National Natural Science Foundation of China [formerly the Excellent Young Scientists Fund]. His research mainly focuses on automotive chassis control and motion planning and control of intelligent vehicles. He has led or participated in more than 20 projects, including National Natural Science Foundation of China projects, National Key R&D Program projects, and university–industry collaborative projects. He has received awards including the First Prize of Shanghai Science and Technology Progress Awards, the first prize of China Automobile Industry Technology Invention Award. He also serves as Deputy Secretary-General and committee member of the Intelligent Transportation Branch of the China Society of Automotive Engineers.

Dr. Guoying Chen is a Professor and Doctoral Supervisor at the State Key Laboratory of Automotive Chassis Integration and Bionics, and a High-level Talent of Jilin Province. His research focuses on advanced chassis control for intelligent vehicles. He has led multiple national and provincial key projects, including programs from MIIT, NSFC, and Jilin Province. In the past five years, he has published over 30 high-quality papers in journals such as IEEE TITS, IEEE TIV, and Automotive Engineering. His technical achievements have been applied in product development at FAW Hongqi, Chongqing Changan, and Yutong Bus. He received the First Prize of China Automotive Industry Science and Technology Progress Award and the Second Prize of Jilin Provincial Science and Technology Progress Award.

Dr. Bohong Xiao was granted the PhD degree in the University of Bristol, Bristol, UK, in 2012. He is now the Assistant Vice President in NIO group and external mentor of the department of automotive engineering at Jilin University. He is leading the vehicle control system and software development in NIO group. He holds more than 30 patents and was rewarded First Prize of China Automotive Industry Science and Technology Award in 2021, 2022. Dr. Xiao also serves as a Member of the National Technical Committee on Standardization.

.As the director of BYD's Chassis Technology Development Center, he has been engaged in the construction of new energy vehicle chassis and power system platforms, technical planning, product development, testing and verification, and research on dynamic motion performance. He led the team to overcome the core technologies related to intelligent chassis, broke through the technical difficulties of the two core components of intelligent chassis - braking and suspension, and participated in two national key research and development plans for new energy vehicles.

Yu Huili, female, holds a Doctorate in Vehicle Engineering from Chongqing University, and is a Professor-Level Senior Engineer. She currently serves as Deputy Director of the State Key Laboratory of Intelligent Vehicle Safety Technology and Deputy General Manager of Changan Forward-Looking Technology Research Institute.

  She has long dedicated herself to the field of intelligent vehicle safety. Leading her team, she has conquered three core key technologies: software supply chain security, chip verification, and the application of large AI models. She has built a fully independent end-to-end data chain, driving the transformation of automotive safety from passive protection to active, full-domain and trusted safety. She actively promotes industry-university-research collaboration, makes breakthroughs in fundamental core technologies, establishes a collaborative innovation mechanism for the industrial chain, and leads the independent and controllable development of automotive R&D tools.

  She has obtained over 150 invention patents and software copyrights, participated in formulating 9 national standards, presided over 9 provincial and ministerial-level or above research projects, and won more than 20 provincial and ministerial-level science and technology awards. In 2025, she was awarded the honorary title of National March 8th Red Banner Bearer.

Professor Siddartha Khastgir is Head of Safe Autonomy at WMG, University of Warwick, where he leads international R&D in AI safety and autonomous systems across land, air, and marine transport. His work focuses on safety assurance for automated transport systems, test scenarios, safe AI, test environments and safety management. He leads collaborative R&D with more than 100 industrial and academic partners nationally and internationally. He is a UKRI Future Leaders Fellow, Forbes 30 Under 30 honouree and TEDx speaker. He advises the UK Department for Transport, serves on the DfT Science Advisory Council and the Centre for Connected and Autonomous Vehicles Expert Advisory Panel, and represents the UK in international standardisation and regulatory bodies including ISO, SAE and UNECE. He is also Director of Partners for Automated Vehicle Education United Kingdom (PAVE UK), a Chartered Engineer and a member of the Institution of Mechanical Engineers, with international industry experience at Tata Motors and FEV GmbH.

Jun Gao joined the Department of Electrical Engineering and Computer Science at the University of Michigan as an Assistant Professor in Fall 2025. He received his Ph.D. from the University of Toronto and his bachelor’s degree from Peking University. He previously worked as a Senior Research Scientist at NVIDIA. His research interests include 3D computer vision, computer graphics, and generative models, with a focus on developing controllable generative AI models to create realistic, diverse, and interactive virtual environments. His work has received the SIGGRAPH Asia Best Paper Award, and he has served as an Area Chair for conferences including NeurIPS and 3DV.

Dr Jie Sun is currently a Tenured Associate Professor with Tongji University. He had been working as a Postdoctoral Research Fellow at The University of Queensland and The Hong Kong University of Science and Technology from 2019 to 2023. His research interests include traffic flow modelling and simulation, autonomous vehicles, AI-based traffic modelling. He has co-authored 40+ papers in prestigious journals in Transportation Engineering (e.g., Transportation Research Part B/C, IEEE T-ITS) and CCF-A conferences (e.g., ICLR, AAAI). He has hosted the OnSite Scenario Generation Challenges from 2025 to 2026. He has been awarded the Excellent Young Scientists Fund (Overseas) of NSFC and Shanghai Outstanding Academic Leaders Plan (Overseas). He is also serving as an Early Career Editorial Advisory Board member of TR Part C and COMMTR. 

Bruce Mehler is a Research Scientist in the Massachusetts Institute of Technology’s Center for Transportation & Logistics - AgeLab, and former Director of Applications & Development at NeuroDyne Medical Corporation. He has an extensive background in the development and application of non-invasive physiological monitoring technologies and current research interests in attention management, workload assessment, individual differences in response to cognitive demand and stress, and how individuals adapt to new technologies and user interfaces, with a focus on advanced automotive technologies. He received a Bachelor of Science degree from the University of Washington and MA in Psychology from Boston University, completing doctoral qualifying exams prior to a career shift to industry in 1986. He returned to a more academic focus in 2007 with a research appointment at MIT. Mr. Mehler is currently a senior lead in the Advanced Human Factors Evaluator for Attentional Demand (AHEAD) consortium and Co-Director of the Advanced Vehicle Technology (AVT) consortium at MIT. He has served as an invited academic contributor to the UNECE Global Forum for Road Traffic Safety (WP.1), a periodic Visiting Scholar at Tongji University, and recently co-organized a week-long international seminar on Driver State Modelling: Cognitive and Computational Challenges at Schloss Dagstuhl, Germany.

Lead the SOTIF Human Factors and Accident Research projects in BMW China R&D. Experienced in FOT/NDS customer ADAS driving behavior study.Experienced in Accident Research and lead CIDAS Accident Investigation Expert Group. 

Dr. Dengbo HE is an Assistant Professor and Ph.D. advisor in the Intelligent Transportation Thrust and Robotics and Autonomous Systems Thrust at the Hong Kong University of Science and Technology (HKUST) (Guangzhou). Dr. He’s research focuses on human factors, driver behavior, and the interactions between driving automation and human drivers. Dr. He graduated from and worked as a post-doc research fellow at the University of Toronto before joining the HKUST (Guangzhou). He has published over 100 articles in top-tier journals and conferences. He served as a reviewer for over 40 journals and as a member of the editorial board of the Transportation Research Record. He was the recipient of the Jerome H. Ely Human Factors Article Award and Stephanie Binder Young Professional Award from the Human Factors and Ergonomics Society.

Dr. Daofei Li received his B.E. in Vehicle Engineering from Jilin University and his Ph.D. in Vehicle Engineering from Shanghai Jiao Tong University. He joined Zhejiang University in 2008 and is currently an Associate Professor and doctoral supervisor at the Institute of Vehicular Engineering. He leads the Human-Mobility-Automation research group, with research interests spanning vehicle dynamics control, autonomous driving, motion sickness mechanism modeling and mitigation strategies. He has led 25 research projects, including national 973 sub-projects, National Natural Science Foundation grants, key provincial science and technology projects, and over 10 industry-funded projects with leading OEMs and suppliers. He is a recipient of the Zhejiang Provincial Science and Technology Award (Second Prize) and the Huawei Spark Award.

Prof. Jun Li is currently an academician of the Chinese Academy of Engineering, professor at School of Vehicle and Mobility with Tsinghua University, president of the China Society of Automotive Engineers, director of the Expert Committee of China Industry Innovation Alliance for the Intelligent and Connected Vehicles. He has been chief engineer and director of technology center in China FAW Group. His research interests include internal combustion engine, electric drive systems, electric vehicles, and intelligent connected vehicles.

Research experience：

Prof. Jun Li has long presided over the product R&D and technological innovation for major automobile companies in China. He established a leading independent research system and completed a number of major product replacement projects, major national projects, and major equipment model development projects. In the field of automotive powertrain, he presided over the development of heavy-duty series diesel engines, series products of direct injection supercharged gasoline engines, heavy-duty equipped trucks, military vehicles, and HongQi luxury cars. He also presided over the R&D and mass produce of the diesel automated electronic control system products. Further, he invented dual-track electronically controlled variable fuel injection regular high-pressure systems and gas-driven urea injection system. For new energy vehicle, he invented a strong hybrid configuration with dual coupling of motor, engine, and gearbox, and presided over the development of the first full hybrid and plug-in hybrid vehicles as well as hybrid bus products. In the area of intelligent connected vehicles, he proposed a technology strategy, "Zhitu", and technical route for China FAW’s intelligent connected vehicles. In addition, he designed the HongQi L3 prototype vehicle and the forward-looking R&D of smart city intelligent automobiles.