Zihao Zhang
About Zihao Zhang
Zihao Zhang is a Research Engineer specializing in Planning at TuSimple, with a strong background in Mechanical Engineering and Robotics. He has developed algorithms for Advanced Driver Assistance Systems and has experience working with major automotive companies such as General Motors and Aptiv.
Current Role at TuSimple
Zihao Zhang serves as a Research Engineer specializing in Planning at TuSimple since 2020. His role involves developing advanced algorithms that enhance the capabilities of autonomous driving systems. Based in San Diego, California, he contributes to the company's mission of advancing self-driving technology.
Education and Expertise
Zihao Zhang holds a Master of Science in Mechanical Engineering with a focus on Robotics from the University of Michigan - Rackham Graduate School, completed in 2018. He also earned a Bachelor's Degree in Mechanical Engineering from Shanghai Jiao Tong University from 2013 to 2017. His academic background is complemented by expertise in control systems engineering and proficiency in programming languages such as Matlab, Simulink, and C/C++.
Professional Experience in Automotive Technology
Prior to his current position, Zihao Zhang gained valuable experience in the automotive sector. He worked as an ADAS Algorithm Developer at Aptiv from 2019 to 2020 and as an ADAS Algorithm Engineer Intern in 2018. He also completed a Product Development Internship at General Motors in 2017. His roles focused on developing algorithms for Advanced Driver Assistance Systems (ADAS).
Research Background
Zihao Zhang has a solid foundation in research, having served as an Undergraduate Research Assistant at Purdue University in the MTEC Lab for 11 months in 2016. His research experience complements his industry roles and enhances his understanding of mechanical engineering and robotics.