Summary
Yuan Zi, Ph.D. is a perception engineer with nine years of interdisciplinary experience building AI-driven sensing and perception systems for autonomy and industrial diagnostics. He combines deep expertise in signal processing, machine learning, and sensor physics—evidenced by a patent and a dozen peer-reviewed publications—to deliver weather-resilient perception and robust multi-sensor fusion for autonomous driving. Yuan has translated research into products across startups and industry leaders (Tensor Auto, Gowell, ABB, Shell, Siemens), often bridging hardware, embedded analytics, and field validation. At Gowell he led algorithmic work that improved electromagnetic and inertial sensor robustness under thermal and motion drift, and at a prior startup he was the first computer vision engineer shipping the company’s initial commercial product. He is passionate about sustainability and autonomy, with hackathon and sustainability awards underscoring his applied problem-solving. Outside work he balances technical focus with travel, movies, and team sports, reflecting a collaborative, curious approach to engineering.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of Houston
Bachelor's degree Exploration Technology and Engineering(Exploration Geophysics), Bachelor's degree Exploration Technology and Engineering(Exploration Geophysics) at China University of Petroleum 中国石油大学(华东)
Visiting Student Exploration Geophysics, Visiting Student Exploration Geophysics at National mineral resources university (University of mines)
English, Russian, Chinese