Yanbing is currently a Ph.D. student at Vanderbilt University. She received B.S. in Civil Engineering from University of Illinois at Urbana-Champaign. Her research focuses on state estimation, nonlinear system identification and control with applications on adaptive cruise control design. At Toyota Infotech Labs, she will be working on designing personalized ACC.
Jianyu is a Ph.D. Candidate (expected to graduate in Summer 2021) in Systems Engineering Program at University of Virginia. He is also a member of UVa Link Lab, a research center that conducts pioneering research in Cyber-Physical Systems (CPS). He conducts multidisciplinary research with fellow researchers from Computer Engineering, Civil Engineering, and Mechanical Engineering department. His research interests lie in the area of machine learning, particularly in deep learning, reinforcement learning and graph learning, as well as their applications in cyber physical systems such smart cities, smart manufacturing lines.
During his co-op at Toyota in 2020, Yongkang was also a Ph.D. student in CRSS (Center for Robust Speech Systems) – UTDrive Lab at The University of Texas at Dallas. Before that, he was a visiting student in Behavior Signal Processing Laboratory at Nagoya University, Nagoya, Japan. He received M.S. degree in Electrical Engineering at The University of Texas at Dallas, and B.S. degree in Electrical Information Engineering at Shandong Normal University. Yongkang's research interests include driver behavior analysis and intelligent vehicle advancement.
During his co-op at Toyota in 2020, Zhenyu was also a PhD candidate in DitecT (Data & innovative technology - driven Transportation) Lab at Columbia University. Before that, he received B.S. in theoretical and applied mechanics at Peking University. He was a quantitative strategy research intern at Pinebridge Investments where he applied Bayesian Recurrent Neural Networks and Generative Adversarial Networks to the forecast of foreign currency exchange rate. His research interests include driver behavior modeling and resource allocation. He is designing Bayesian inference models on driver behavior modeling during as a co-op at Toyota.
Xiangguo is currently a Ph.D. student in Electrical and Computer Engineering at Northwestern University. He was a visiting student in Next Generation Mobility System Lab, University of Michigan, Ann Arbor. He received bachelor’s degree in Control Science and Engineering at Zhejiang University. Xiangguo's research interests include connected vehicles and cyber physical system.
Xishun is currently a Ph.D. student in Electrical and Computer Engineering at University of California, Riverside. He was a summer research assistant in the TSR lab at CE-CERT, University of California, Riverside. He received master degree in Mechanical Engineering at University of Maryland, College Park, and the B.E. degree in Mechanical Engineering and Automation at Beijing University of Posts and Telecommunications. Xishun's background includes control systems, optimization, computer vision, and he is planning to do research on the field of connected and automated vehicles.
Yuan-Pu was a M.S. student in Electrical Engineering at University of California, Riverside. He received B.S. degree in Mechatronics Engineering at National Taiwan University. He worked at the TSR lab for 6 months and was the major contributor of UCR's Volvo truck project.
Xuanpeng was a bachelor student in Electrical Engineering at Shanghai Maritime University, and currently a Ph.D. student at University of California, Riverside. His research is focused on computer vision, embedded system, autonomous vehicle, and robotics.
Hangquan is a master student in Electrical and Computer Engineering at University of California, San Diego. His research is focused on learning different kinds of coding languages, such as Java, Python, C, C++, Verilog, HTML.
Yu Jiang is currently a second-year M.S. student in Electrical Engineering at University of California, Riverside. He received B.S. degree in Huazhong University of Science and Technology in China. His research interests are computer vision, embedded system, autonomous vehicle, and robotics. He is focusing on a computer vision based adaptive cruise control system. He is pursuing a full-time job starting in 2020.
Pingbo was a bachelor student in Electrical Engineering at North China University of Technology, Beijing, and currently master student at University of California, Riverside. His research interest is Cooperative Adaptive Cruise Control.
Shangrui was a bachelor student in Electrical Engineering at North China University of Technology, Beijing, and currently a master student at University of California, Riverside. His major research interests is automated vehicles(Cooperative Adaptive Cruise Control). This year he is working on simulating the CACC system on the model car.
Yue is currently a master in Electrical Engineering at University of California, Riverside. He received the Bachelor's degree in Vehicle Engineering from Wuhan University of Technology. His research interests are SLAM, motion planning and sensor fusion. Yue intents to work for the autonomous driving department of automakers.
Yu was a master Student in Mechanical Engineering at University of California, Riverside. He received the B.E. degree in Electrical and Information Engineering from Tianjin University. Then he graduated from Stevens Institute of Technology and received a master degree in Electrical Engineering. Upon graduation at UCR, Yu plans to pursue a Ph.D degree which has a research interests in the field of ADAS of connected and automated vehicles.