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.

Xiangmo Zhao received the B.S. degree from Chongqing University, Chongqing, China, in 1987, and the M.S. and Ph.D. degrees from Chang'an University, Xi'an, China, in 2002 and 2005, respectively. He is currently a Professor with the School of Information Engineering, Chang'an University, and the President of Xi'an Technological University, Xi'an. He is a Vice President of the Joint Laboratory for Connected vehicles, Ministry of Education and China Mobile, and the Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Centre, and is also a Leader of the National Key Subjects-Traffic Information Engineering and Control, Chang'an University. His research interests include connected vehicles, automated vehicles, intelligent transportation systems, and computer science. He is the Director of the Information Professional Committee, a member of the Advisory Expert Group of the China Transportation Association, member of the National Motor Vehicle Operation Safety Testing Equipment Standardization Committee and the Leading Group of the National Traffic Computer Application Network, the Vice Chairperson of the Institute of Highway Association on Computer Professional Committee, and the Deputy Director of the Institute of Computer in Shaanxi Province.

Raj received his BEng and PhD degrees from City University of London in 1994 and 1999 respectively. From 1999 he worked at City University of London as a Research Fellow. In August 2000 he moved to CMG as a Telecommunications Consultant. After a few years in the industry Raj is now a Professor of Security Engineering. He is currently the Director of the Institute for Cyber Security at City University of London and carries out research in the areas of privacy preserving data management, Internet of Things privacy, network intrusion detection, cloud security and identity management using blockchain. Raj has received funding from EPSRC, Royal Academy of Engineering, European Commission, Innovate UK, British Council and industry to carry out research in cyber security. He has supervised several PhDs jointly with British Telecommunications, UK in the area if data analytics for cyber security and network intrusion detection. To date Raj has graduated more than 30 PhD students in the area of Cyber Security and continues to supervise a good number of students in the area of Cloud Security, Privacy and blockchain.

He is also the Programme Director for the MSc in Project Management, Finance and Risk.

He is a senior member of IEEE, a member of IET and an associate member of the charted institute of information security and a member of Technical Programme Committees of several security and privacy conferences.

Raj is the CEO of CityDefend (www.citydefend.com) a start up in the area of secure search in the encrypted Cloud. He also sits on the Editorial boards of the Journal on Wireless Networks, Elsevier Journal of Health Policy and Technology and Emerald Journal of Information Management and Computer Security.

Jose Alvarez is Director of Research at NVIDIA, where he leads the Autonomous Driving Applied Research Team. His work focuses on scaling deep learning and advancing its application to safe and reliable autonomous vehicles.

Prior to joining NVIDIA, Dr. Alvarez held research positions at the Toyota Research Institute and NICTA (Australia). He earned his Ph.D. in Barcelona under the supervision of Prof. Antonio López and Prof. Theo Gevers, and later completed a postdoctoral fellowship at New York University with Prof. Yann LeCun.

Dr. Alvarez is a recipient of multiple awards in the field of autonomous driving and has published over 100 papers in top-tier machine learning and computer vision venues, accumulating more than 22,000 citations. He regularly serves as an Area Chair for leading conferences such as NeurIPS, ECCV, KDD, and ICRA, led the organization of several prominent workshop series, including DeepVision and the Workshop on Autonomous Driving; and sits on the editorial boards of IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Born 1969, he studied Mechanical Engineering at the University of Technology Graz, where he graduated 1995. He received a doctor’s degree in technical sciences in 1998 with distinction.

From 1998 to 2007 Arno Eichberger was employed at MAGNA STEYR Fahrzeugtechnik AG&Co and dealt with different aspects of active and passive safety.

Since 2007, Arno Eichberger is employed at the Institute of Automotive Engineering (University of Technology Graz) as vice-director of the Institute and head of the research area Vehicle Dynamics. His researches include development and testing of automated driving, human-machine interaction, vehicle dynamics control and suspension development. 

Since 2012 he is Associate Professor holding a venia docendi in Automotive Engineering.

Siraj Shaikh is a Professor in Systems Security at Swansea University (UK). His research interests lie at the intersection of cybersecurity, systems engineering and computer science addressing cyber-physical systems security for automotive and transport systems. He is also Co-Founder and Chief Scientist at CyberOwl, which is dedicated to risk analytics and security monitoring for the maritime sector.

Siraj is also currently a Visiting Professor in the Research Group on Security, Risks Management and Conflict (SEGERICO) at Nebrija University (Spain).

Previously, he has also held Royal Academy of Engineering’s Industry Fellowship hosted at HORIBA MIRA (2015-2016). His research has been funded by EPSRC, ESRC, Lloyds Register Foundation (LRF), DSTL, British Council and Royal Academy of Engineering (RAEng).

Siraj has been involved in research, development and evaluation of large-scale distributed secure systems for over twenty-two years. His doctoral and post-doctoral research involved design and verification of security and safety-critical systems.

Siraj has recently co-authored a book on Formal Methods for Software Engineering Languages, Methods, Application Domains published by Springer (2022).

Dr. Dennis Kengo Oka is an automotive cybersecurity expert with nearly 20 years of global experience in the automotive industry. He received his Ph.D. in automotive security focusing on solutions for the connected car. As Global Technical & Cybersecurity Advisor at IAV, he focuses on cybersecurity solutions for software-defined vehicles, both on-road and off-road vehicles. Dennis has over 80 publications consisting of conference papers, journal articles and books, and is a frequent public speaker at international automotive and cybersecurity conferences and events. His latest published books are "Building Secure Cars: Assuring the Automotive Software Development Lifecycle" (Wiley, 2021), and "Building Secure Automotive IoT Applications: Developing Robust IoT Solutions for Next-Gen Automotive Software" (Packt, 2024).

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.

Moritz Werling is a Principal Engineer at BMW with over 20 years of experience in automated driving. During his doctoral studies at the Karlsruhe Institute of Technology (KIT), he focused on motion planning and control and spent part of his PhD as a visiting researcher at Stanford University. The results of his research have been implemented in numerous production applications. Since 2011, he has been working as a developer for automated driving at BMW AG. He has also been a lecturer on automated driving at KIT since 2015 and at the Technical University of Munich (TUM) since 2024. Since 2019, his work has focused on developing processes and methods for the design, verification, and validation of safe automated driving systems.

Dr. Xianyuan Zhan is a research associate professor at the Institute for AI Industry Research (AIR), Tsinghua University, with a joint appointment as a Young Researcher at the Shanghai Artificial Intelligence Laboratory. Before joining AIR, Dr. Zhan was a data scientist at JD Technology and also a researcher at Microsoft Research Asia (MSRA). His research directions include data-driven decision-making, embodied AI, and autonomous driving. He has published more than 70 papers in key conferences and journals in the field of Computer Science and Transportation Engineering, and 20 granted patents. He is also a committee member of Artificial Intelligence & Pattern Recognition Committee (CCF-AI) and Intelligent Vehicles Committee (CCF-IV) of China Computer Federation (CCF). He was also selected as one of the Top 50 Global AI Young Chinese Scholars (in the field of AI+X) by Baidu in 2022.

Dr. Zhu, Feng is an Associate Professor in the School of Civil and Environmental Engineering at Nanyang Technological University (NTU), Singapore. He received his Ph.D. degree from Purdue University in 2016, an M.Phil. degree from the Hong Kong University of Science and Technology in 2011, and a B.E. degree from Sun Yat-sen University in 2009. Dr. Zhu’s research focuses on urban mobility, connected and automated vehicles, traffic safety, and data analytics. His work has been published in leading SCI journals in transportation research. His research has received funding from a range of agencies and institutions, such as Singapore’s Ministry of Education, the Land Transport Authority, the Urban Redevelopment Authority, the National Environment Agency, and the Surbana Jurong–NTU Corporate Lab.

I graduated with a diploma in physics from Technical University of Dresden in 1986. For the next five years, I worked in nuclear safety research at Energiewerke Nord AG in Berlin. In 1991, I joined TÜV SÜD in Munich, where I worked in the field of risk, reliability and safety of human-machine systems in the industrial, railway and automotive sectors, recently as Chief Expert Automotive Safety. I’m engaged in the safety of automated driving since 2005.

I participated in the national standards committee for ISO 26262 and ISO 21448 and in national legislation on automated and autonomous driving. I am a guest lecturer at Ingolstadt University of Applied Sciences and at various private educational institutions.

In 2024, I co-founded and became managing director of TESACO GmbH. We advise on the development, approval and operation of vehicles and systems for Connected Cooperative Automated Mobility.

Hafiz Malik is Professor of Electrical and Computer Engineering (ECE) at the University of Michigan – Dearborn. His research in the areas of automotive cybersecurity, deepfakes, IoT security, sensor security, multimedia forensics, steganography/steganalysis, information hiding, pattern recognition, and information fusion is funded by the National Science Foundation, National Academies, Ford Motor Company, Marelli, Inc. N.A., and other agencies. He is a recipient of the UM – Dearborn 2022 Distinguished Research Award and College of Engineering and Computer Science  2020 Excellence in Research Award. He has published over 150 articles in leading peer-reviewed journals, conferences, and workshops. He is a founding member and chief operating officer (COO) of the Global Foundation for Cyber Studies and Research, a founding member of the Cybersecurity Center for Research, Education, and Outreach at UM-Dearborn and member of leadership circle for the Dearborn Artificial Intelligence Research Center at UM-Dearborn. He is also a member of the Scientific and Industrial Advisory Board (SIAB) of the National Center of Cyber Security Pakistan. He is a member of MCity Working Group on Cybersecurity, since 2015.