Jinghui Song (Ted)

Jinghui (Ted) Song has a diverse work experience, starting with their current role as a Vehicle Embedded Software Engineer at TuSimple since July 2021. Prior to that, they worked as a Student Capstone Project Control Engineer at NASA Jet Propulsion Laboratory from January 2021 to June 2021.

Jinghui also has experience as a Research Assistant at the Information Processing Lab at the University of Washington, where they processed dual-camera and radar data for testing vehicle platforms, designed algorithms for radar and image preprocessing, sensor fusion, and deep learning-based depth map and object localization. Jinghui (Ted) also contributed to the development of an annotation program and trained models for object detection and localization algorithms. Their tenure at the lab lasted from June 2020 to April 2021.

In their earlier years, Jinghui held multiple roles at the SEU Formula Student Racing Team. Jinghui (Ted) served as a Project Manager, Team Lead, and Technical Lead, leading the design and manufacture of formula racing cars, developing projects such as monocoque and self-made electronic throttle valve control, and working on forward-looking technologies like automatic drive systems and hub motor design. Jinghui (Ted) also founded the Driverless Racing Team and secured sponsorship from Ford China. Jinghui (Ted) worked with the SEU Formula Student Racing Team from June 2016 to January 2019.

Additionally, Jinghui gained valuable experience through internships at SAIC Volkswagen and as a Research Assistant at Beihang University, both in 2018.

Jinghui (Ted) Song completed their Master of Science degree in Mechanical Engineering at the University of Washington from 2019 to 2021. Prior to that, they pursued their Bachelor of Engineering in Mechanical Engineering & Automation at Southeast University, graduating from 2015 to 2019.