Danjue Chen joined CCEE as an associate professor in August as part of the transportation systems and materials group. She runs the SHINE (Smart Human-centered TransportatIon AutoNomy for Everyone) Lab and teaches CE 305 Traffic Engineering and CE 497/595 Traffic Engineering with Connected Automated Vehicle Technologies.

Chen received her Ph.D. from the Georgia Institute of Technology in 2012 and B.S. in environmental science from Peking University in Beijing, China in 2007. Prior to joining NC State, she was an associate professor at University of Massachusetts Lowell. She also worked as a postdoc scholar at the University of Wisconsin-Madison and California PATH at University of California, Berkeley. 

Chen’s expertise lies in traffic science and transportation engineering. Her research interests include traffic flow modeling and control; modeling and control of connected automated vehicles (CAVs); human-automation interaction involving CAVs; and smart cities. Her research aims to better understand the fundamental nature of traffic flow, particularly with cutting-edge vehicle technologies such as connected vehicles and autonomous vehicles; understand the human-cyber-physical-system of smart vehicles which includes sensing, computation, communication and control; understand the complex interaction between human and machines (like smart vehicles); and leveraging emerging vehicular technologies to enable safe, efficient, and eco transportation. She integrates analytical, numerical and experimental methods in her research. 

Chen is a founding member of the Transportation Research Board subcommittee on “traffic flow modeling for connected and automated vehicles.” She received the National Science Foundation CAREER award in 2020.