Hong Yang is an Assistant Professor in the Department of Modeling, Simulation & Visualization Engineering at the Old Dominion University. He was a Post-doctoral Fellow at the Center for Urban Science and Progress (CUSP) at the New York University (NYU), and the Department of Civil and Urban Engineering at NYU Polytechnic School of Engineering. Hong received a Ph.D. degree in Civil Engineering and a Master degree in Statistics from Rutgers, The State University of New Jersey; a Master degree in Transportation Planning and Management from Tongji University; and a Bachelor's degree in Transportation Engineering from the Southwest Jiaotong University. Hong's academic and professional activities and interests span a number of areas such as Transportation Safety, Intelligent Transportation Systems, Traffic Simulation and Modeling, Incident and Emergency Management, Transportation Planning, and Traffic Operation. Hong is also actively involved in Urban Informatics and Big Data mining in transportation systems. Hong has been working on a number of transportation projects funded by different agencies. Hong is the author and co-author of a number of scientific publications in journals and conference proceedings.
Qingyu Ma received his B.S. of Geographical Information Science in Tongji University and M.S. of Urban Spatial Analytics in University of Pennsylvania. He is a current Ph.D. student in Computational Modeling and Simulation Engineering at Old Dominion University (ODU). He is professional in GIS field and his current research is on Big Data, GIS & Transportation Safety. After he come to ODU, he worked closely with Virginia Department of Transportation (VDOT) in multiple projects and played key roles in spatial analysis, web tool development, and data mining. Before coming to ODU, Qingyu had an internship with ESRI in summer 2017 as a software product engineer. He was highly praised by his mentor for his fascinating works. He also joined a start-up mapping company EvolutionMaps in 2015 and provided mapping services for microbreweries in San Diego. In his spare time, Qingyu enjoy traveling, cooking, and piano. Recently, he is fond of Boogie Woogie style of music and trying to learn that by himself.
Zhenyu Wang received his B.S. in English literature and M.S. in Communication and information system from Beijing University of Posts and Telecommunications, China. He is a currently Ph.D. candidate student in the Department of Modeling, Simulation & Visualization Engineering at Old Dominion University. His research interests lie in traffic safety issues, transportation modeling & simulation, and data mining. His email address is firstname.lastname@example.org.
Yang Liu, Ph.D. student of fall 2020, she received her M.S. of Data Science in Worcester Polytechnic Institute and B.S. of Statistics in Jiangxi University of Finance and Economics. She currently study in Computional Modeling and Simulation Engineering department at Old Dominion University. Before coming to ODU, Yang had experience in Online-Learning Research, city crime analysis and Real Estate data analysis. Her research interests lies in Transportation Simulation and Modeling, Natural Language Processing, and Deep Learning modeling. In spare time, Yang Liu likes DIY craft, cooking, and comedy shows.
Shimin Zhang received her B.A. of Finance from the University of Electronic Science and Technology of China(UESTC) and M.S. of Data Analytics at Northeastern University in Boston. She is currently a Ph.D. student in Computational Modeling and Simulation Engineering at Old Dominion University (ODU). Her research interests lie in spatial data mining and analysis, the application of artificial intelligence in the transportation field.
Ming Li received her B.S. degree in Industrial Engineering and M.S. degree in Mechanical Engineering from the Southwest Jiaotong University. She is currently a Ph.D. candidate at School of Transportation Science and Engineering, Beihang University, Beijing, China. Her research focuses on traffisignal control and transportation modeling. Her email address is email@example.com.