Background

Toyota Motor North America, InfoTech Labs

Mountain View, CA
Jul. 2019 - Present
Principal Researcher

University of California, Riverside

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

Toyota InfoTechnology Center

Mountain View, CA
Jun. 2018 - Sep. 2018
Research Intern

Beijing University of Posts and Telecommunications

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

Changan Suzuki

Chongqing, China
Jul. 2014 - Aug. 2014
Summer Intern

Chongqing Nankai Secondary School

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

Highlights

Digital Twin

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

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, "connected eco-driving" provides real-time advices to drivers based on real-time traffic and infrastructure conditions.

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.

Driver Behavior Modeling

Driver behavior (or more generally human factor) plays a crucial role in intelligent vehicles, 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.