KEYNOTE SPEAKER I IN AIOTT 2023
Prof. Ci Song (Fellow, IEEE)
Tsinghua University, China
Song Ci (IEEE Fellow 23) is currently a Professor and the founding director of the ICT-Energy Lab in Department Electrical Engineering, Tsinghua University, China. His My main research interest is complex system modeling and optimization and its applications on both the Internet and the Energy Internet. He is pioneering research in ground-breaking work in dynamic reconfigurable battery and its application in electric vehicles (EV) batteries. He has contributed 300+ highly cited publications, 100+ patents, ITU standard L.1210, the first software-defined digital energy processing and computing system, the first real-world deployment of digital power-feeding system for 5G networks and the world largest scale digital energy storage system using low-cost non-disassembly retired EV batteries. All these ICT-Energy cross-cutting work clearly demonstrates lasting impacts on the industry and society. He is also the founder and the chief scientist of iBatteryCloud, a startup company focusing on digital energy storage systems (DESS) for smart grids, EVs, and cell towers/data centers.
Prof. Wei Fan
University of North Carolina at Charlotte, USA
Speech Title: Equity-Based Traffic Signal Control under Connected Vehicle Environment: Deep Reinforcement Learning Approach
Dr. Wei (David) Fan currently serves as a full professor in the Department of Civil and Environmental Engineering and a Distinguished Scholar in the William States Lee College of Engineering (LCoEN) at The University of North Carolina at Charlotte. He is the also Director of the USDOT University Transportation Center for Advanced Multimodal Mobility Solutions and Education. Dr. Fan holds a Ph.D. (May 2004) in Civil Engineering – Transportation from the University of Texas at Austin. Dr. Fan serves as the Editor-in-Chief of International Journal of Transportation Science and Technology, a handling editor on the Transportation Research Record (TRR) inaugural editorial board, an associate editor of IEEE Transactions – Intelligent Transportation Systems, and an associate editor of ASCE Journal of Transportation Engineering, Part A: Systems while also serving as a member of two other transportation journal editorial boards. Dr. Fan also serves as a member on the National Science Foundation (NSF) review panels, the National Cooperative Highway Research Program (NCHRP) panels, the Transit Cooperative Research Program (TCRP) panel, as well as a member on three American Society of Civil Engineers (ASCE) committees and three Transportation Research Board (TRB) committees.
Dr. Fan has been and is involved in many sponsored projects with a total of over 17.35 million dollars in funding, having been a principal or co-principal investigator on many research studies for the U. S. Department of Transportation (USDOT), Federal Highway Administration (FHWA), NCHRP, SHRP2 Education Connection, Texas Department of Transportation (TxDOT) and North Carolina Department of Transportation (NCDOT). He has published 121 peer-reviewed journal articles thus far, and many proceeding papers and technical reports on big data analytics in transportation, connected and autonomous vehicles, shared mobility and multimodal transportation, traffic system operation and control, and transportation system analysis and network modeling. He is a registered professional engineer in Texas.
Prof. Guangquan Lu
Beihang University, China
Guangquan Lu, Ph.D., is a professor and associate dean of the School of Transportation Science and Engineering of Beihang University, a project leader of the National Key R&D Program, a member of the Traffic Engineering Teaching Guidance Committee of the Ministry of Education, a member of the council of China Road Transport Associations, a member of the council of China Road Safety Association and a member of the council of China Institute of Communications Education. He received the B.Sc. degree from Harbin Institute of Technology, Harbin, China, in 1996, and the M.Sc. and Ph.D. degrees from Jilin University, Changchun, China, in 2001 and 2004, respectively. His research interests include road traffic safety, driving behavior, and V2V control.
Prof. Dewei Li
Beijing Jiaotong University, China
Speech Title: Recent Advances of Smart Railway: from Theory to Practice
Dr. Dewei Li is a professor in the Department of traffic and transportation in Beijing Jiaotong University. He is a PhD supervisor and has been rated as an outstanding teacher in the university. He serves as a reviewer of National Nature and Science Foundation of China, member of Transportation Research Board, COTA, Chair of Alliance of Universities in International Union of Railways, scientific committe member of World High Speed Rail Congress and UIC Covid-19 Taskforce. He is also vice secretary of Expert and academic committee in China Association of Metros. He serves as a guest editor of urban rail transit, and reviewers in most of the top journals in transportation field such as Transportation Research Part B/C, IEEE ITS, Journal of The China Railway Society etc. His research interests include demand management, capacity management, scheduling, facility location, railway optimization, pedestrian simulation etc. He took charge of over 50 national and province level R&D projects. He was awarded 4 times by China railway society, and Beijing Municipal Science & Technology Commission for his contribution in transportation field. He was also awarded for his teaching experience. He published hundreds of papers in many professional journals and conferences, and authored 5 professional books in transportation field. He is entitled as “Outstanding Youth in Beijing”. He obtained tens of patent for invention and software copyright certificates.