University of Minnesota, USA

Speech Title: How does machine learning enhance urban planning for sustainable transportation?

Dr. Xinyu Cao is a professor at the Humphrey School of Public Affairs, University of Minnesota, Twin Cities and a visiting scholar of Chang’an University.  He specializes in land use and transportation interaction and planning for quality of life.  He has published more than 140 peer-reviewed papers and edited four books.  Dr. Cao is internationally well-known for his research on residential self-selection in the relationships between the built environment and travel behavior.  He is currently leading the area of machine learning applications in land use and transportation research.  Dr. Cao is the Co-Editor-in-Chief of Transportation Research Part D and an associate editor of Transport Policy and Journal of Planning Education and Research.  Dr. Cao received his degrees from the University of California, Davis and Tsinghua University.

University of Plymouth, UK

Professor Long-yuan Li is Professor of Structural Engineering in School of Engineering, Computing and Mathematics at University of Plymouth, UK. Professor Li’s research interests cover the fields of mechanics of materials, durability, reliability, and fire safety of RC structures. He has published over 200 technical papers in SCI journals with Scopus h-index 45. Professor Li is the Fellow of the Alexander von Humboldt Foundation (Germany), Fellow of the UK Higher Education Academy, and Fellow of the Institution of Structural Engineers (UK). He is the Member of EPSRC Peer Review College, Member of UK Society for Computational Mechanics in Engineering, Member of UK Concrete Society, and Member of International Society for Interaction of Mechanics and Mathematics. Currently, Prof Li is the editor of “Construction and Building Materials” journal, member of editorial boards of “Cement and Concrete Composites”, “Magazine of Concrete Research”, “Journal of Marine Engineering & Technology”, etc. 6 international journals.

Presentation Title – “Structural monitoring for infrastructure in transportation engineering”

University of Waterloo, Canada

Xianguo Li is a Mechanical and Mechatronics Engineering Professor at the University of Waterloo.

Professor Li's main research interests and activities are in the area of thermal fluid/science, including energy systems and energy storage, various energy conversion devices, propulsion and power generation systems, aerosol generation and applications, and transportation fuel cell and battery systems. These research projects involve thermodynamics, fluid dynamics, hydrodynamic stability, multiphase flow, heat and mass transfer, liquid atomization and sprays, combustion, power generation and propulsion systems.

Professor Li is the Founding Editor-in-Chief of the International Journal of Green Energy, which established the International Green Energy Conference series and launched the annual review series Progress in Green Energy. He is also the Field Chief Editor, Frontiers in Thermal Engineering. He is currently serving on the editorial board of dozens of international scientific/technical journals, book series on fuel cells and energy systems, as well as an encyclopaedia on Energy Engineering and Technology.

Professor Li is a fellow of Canadian Academy of Engineering (FCAE), a fellow of the Engineering Institute of Canada (FEIC) and a fellow of the Canadian Society for Mechanical Engineering (CSME), and serves as VP Technical Program for CSME. Previously he served as the CSME Division Chair for the Advanced Energy Systems technical division. He also currently serves as the President of the International Association for Green Energy and President of the Fuel Cell Division, International Association for Hydrogen Energy and established the World Fuel Cell Conference series.