Prof. Xiaobo Qu
Tsinghua University, China
Biography:
Xiaobo Qu is a Changjiang Chair Professor with the School of Vehicle and Mobility, Tsinghua University since Dec 2021. His research is focused on intelligent transportation systems, ground-air cooperation and vertical transportation systems, and emerging transport mode informed mobility services. He has authored or co-authored over 180 journal articles published at top tier journals, including 14 ESI highly cited papers. To date, Prof Qu has secured research funding well above 30 million Euros from the National Natural Science Foundation of China, Ministry of Science and Technology China, Australian Research Council, Swedish Innovation Agency Vinnova, STINT, and European Union, Ministry of Education China, including one NSFC key project (3 million CNY), one MoST thematic project (120 million CNY = 40 million public funding + 80 million matchup, as the PI), Australian Research Council Discovery Project, four major grants from Swedish Innovation Agency, two projects from EU, and a number of projects from research foundations. He has been invited to serve as a panel/assessor for prestigious funding scheme such as the Australian Research Council Centre of Excellence (35 million AUD each), Future Fellowship (career grant, 1 million AUD each), Netherlands NWO VICI (career grant, 2.5 million Euros each), Hong Kong Research Council theme based scheme (30 million HKD each), Singapore Ministry of Education Thematic Research Program (5 million SD each), European Research Council, NSFC, Ministry of Education China etc. He is an elected Member of Academia Europaea–the Academy of Europe since Aug 2020, and an elected Fellow of the European Academy of Sciences since Jan 2020. He was a faculty member at two Australian Universities from 2012-2017, joined Chalmers University of Technology, Sweden, as a Professor in Feb 2018, promoted to Chair Professor rank in Feb 2020. From Dec 2021, Xiaobo is teaching at the School of Vehicle and Mobility, Tsinghua University, China, at full time capacity, and will accept PhD students and postdocs from both China and overseas.
Prof. Zhichun Li
Huazhong University of Science and Technology, China
Biography:
Zhichun Li is a professor and Ph.D. supervisor at Huazhong University of Science and Technology. He is a national-level talent whose main research fields include transportation management and regional and urban economics. He has led various research projects, including the National Excellent Young Scientists Fund, the National Key Projects, significant projects from the National Social Science Fund, the Ministry of Education’s New Century Excellent Talents Project, the National Fund for Top 100 Outstanding Doctoral Dissertations, and the Huo Yingdong Young Teachers Fund. To date, he has published over 80 papers in SCI/SSCI journals, including the Journal of Urban Economics, Regional Science and Urban Economics, Papers in Regional Science, and Transportation Research Part B. He currently serves as the associate editor for the SCI/SSCI journal Transport Policy and Transportmetrica B, and is a member of the editorial boards for Transportation Research Part E and the International Journal of Sustainable Transportation. He has been recognized as a Highly Cited Researcher in China by Elsevier for 2020-2023.
Prof. Hao Wang
Southeast University, China
Biography:
Wang Hao, male, Ph.D., born in September 1980, is a professor at the School of Transportation, Southeast University, and Deputy Director of the Institute of Transportation Engineering. He is a Ph.D. supervisor and member of various transportation organizations, including the China Transportation Modeling and Simulation Committee. Wang graduated in 2002 from Southeast University with a degree in Transportation Engineering and enrolled in the doctoral program at the same institution, obtaining his Ph.D. in 2008. He has conducted research as a visiting scholar at the Dutch Ministry of Transport's Intelligent Transportation Research Center and the University of California, Davis. His main research interests include traffic flow theory, traffic simulation, and smart transportation technologies. He has led multiple projects, including two under the National 863 Program and three funded by the National Natural Science Foundation. Wang has published over 60 academic papers, with more than 30 indexed by SCI and 40 by EI, and holds 18 national invention patents. He serves as a reviewer for notable journals, including Transportation Research Part C and IEEE Transactions on Intelligent Transportation Systems, and has authored the textbook "Traffic Management and Control." His accolades include first prizes from the China Intelligent Transportation Association and the China Highway Society, as well as awards from the Ministry of Education. He has successfully guided student teams in national competitions, achieving multiple awards, including first prize twice in the college student transportation science and technology competition.
Prof. Pu Wang
Central South University, China
Biography:
Pu Wang is a professor and Ph.D. supervisor. His main research areas include transportation big data, modeling of residential travel analysis, and intelligent transportation systems. In recent years, he has led 15 research projects, including those funded by the National Natural Science Foundation and the Hunan Provincial Outstanding Youth Fund. He has published over 60 papers in prestigious international journals such as Science (IF 44.7), Nature Physics (IF 17.6), Nature Communications (IF 14.7), Nature Computational Science (IF 12.0), Sustainable Cities and Society (IF 10.5), IEEE Transactions on Intelligent Transportation Systems (IF 7.9), and Transportation Research Part B/Part C (IF 5.8/7.6). Wang has been granted over 20 national invention patents and 3 international patents. His research achievements have been highly praised by renowned research institutions, including the Massachusetts Institute of Technology and the University of California, Berkeley. Several of his research findings have been successfully applied in real-world scenarios.
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