Purdue University, College of Engineering

West Lafayette, IN
Jul. 2022 - Present
Assistant Professor

University of California, Riverside

Riverside, CA
Sep. 2015 - Jun. 2019
Ph.D. in Mechanical Engineering

IEEE Technical Committee on "Internet of Things in Intelligent Transportation"

IEEE Intelligent Transportation Systems Society
Apr. 2021 - Present
Committee Chair

Beijing University of Posts and Telecommunications

Beijing, China
Aug. 2011 - Jun. 2015
B.E. in Mechanical Engineering and Automation

Toyota Motor North America, InfoTech Labs

Mountain View, CA
Jul. 2019 - Jun. 2022
Principal Researcher

Chongqing Nankai Secondary School

Chongqing, China
Sep. 2005 - Jun. 2011
High School Diploma


Digital Twin

The Digital Twin is a digital replica of the physical entity in the real world, which leverages big data and cloud/edge computing to benefit the mobility system consisting of human, vehicle, and traffic.

Personalized Behavior Modeling

Personalized driver behavior (or more generally human factor) plays a crucial role in human-autonomy teaming, especially when the driver is operating Advanced Driver Assistance Systems (ADAS).

Human-In-The-Loop Simulation

Driving simulator allows human to drive vehicles modeled in a virtual environment, enabling comparison between proposed connected and automated vehicle technology with human driving behaviors.

Cooperative Ramp Merging

With advanced Vehicle-to-Everything (V2X) communication techniques, connected and automated vehicles can schedule their sequence and plan their speed trajectories ahead of time to avoid last-second speed change at the merging point.

Cooperative Adaptive Cruise Control (CACC)/Platooning

CACC systems allow connected and automated vehicles to communicate with each other, and coordinate their maneuvers in a form of platoon, where one vehicle follows another with a constant velocity and/or time headway.

Cooperative Eco-Driving

With advanced Vehicle-to-Infrastructure (V2I) communication technique, "cooperative eco-driving" provides real-time advices to drivers based on real-time traffic and infrastructure conditions.