Dr. Yuxiang Feng is a Research Associate and Lab Manager at the Department of Civil and Environmental Engineering, Imperial College London. His current research focuses on the use of automotive system models to facilitate the safety validation of autonomous vehicles. The primary aim of his work is to develop highly configurable models of automotive systems, that simulate the motions of host vehicles and their interactions with other road users. Before joining Imperial, he obtained a PhD in the Powertrain and Vehicle Research Centre at the University of Bath. He also received an MSc in Mechatronics from the same institution and a BEng in Mechatronics from Tongji University. His doctoral research focused on the development of personalised driver models to investigate the influence of driving style on fuel consumption. His models were calibrated from real-world driving data using machine learning techniques. Satisfactory performance was obtained when evaluating the driver models in a procedure anchored to the standard WLTC drive cycle test.
Prof. Dr. Xuesong Wang currently works as a professor and PhD Tutor at the School of Transportation Engineering, Tongji University. He obtained a Bachelor's degree in Transportation Civil Engineering and a Master's degree in transportation Planning and Management at Tongji University. He graduated from the University of Central Florida with a Ph.D. in Transportation Engineering in 2006. In 2009, he was selected into the Shanghai Pujiang Talent Program for Outstanding Returnees, and in 2016, he was selected into the Tongji University Young Hundred Talent Program. He is currently the deputy director of the Key Laboratory of Road and Traffic Engineering of the Ministry of Education, the deputy director of the Engineering Research Center of Road Traffic Safety and Environment of the Ministry of Education, and the executive director of the International Cooperation Joint Laboratory for Traffic Safety. His research areas focus on traffic safety planning, traffic safety management, facility safety analysis, driving simulator application research, driving behavior, and vehicle active safety.
Prof. Dr. Mohammed Quddus is the Chair of Intelligent Transport Systems in the Department of Civil and Environmental Engineering at Imperial College London. He received his PhD in Intelligent Transport Systems from Imperial College London in 2006. He obtained his master’s degree in Transport Engineering from the National University of Singapore in 2001 and his bachelor’s degree in Civil Engineering from the Bangladesh University of Engineering and Technology (BUET) in 1998, Bangladesh. Prior to joining Imperial, he was the Professor of Intelligent Transport Systems and Head of the Transport and Urban Planning Group at the School of Architecture, Building and Civil Engineering at Loughborough University. He is renowned internationally for his ground-breaking research in transport safety, autonomous and connected mobility, big data analytics and map-matching for Intelligent Transport Systems (ITS). He is a member of the TRB (Transportation Research Board, USA) committee on Safety Data, Analysis, and Modelling.
