Xue Mei
About Xue Mei
Xue Mei is a Staff Scientist currently at TuSimple, with a diverse background in machine intelligence and computer vision. She has held various roles in notable companies, including Director of Machine Intelligence at TuSimple and Principal Scientist at Toyota, and has contributed to academic and professional conferences in her field.
Current Role at TuSimple
Xue Mei currently serves as a Staff Scientist at TuSimple, a position held since 2019. In this role, Mei focuses on advancing the company's research and development in autonomous driving technology. TuSimple is known for its commitment to developing self-driving solutions for freight transportation, and Mei's expertise contributes to the company's ongoing innovations in this field.
Previous Experience at TuSimple
Before assuming the role of Staff Scientist, Xue Mei worked at TuSimple as the Director of Machine Intelligence from 2017 to 2018. During this year-long tenure, Mei was responsible for overseeing machine intelligence initiatives, contributing to the company's efforts in enhancing autonomous vehicle capabilities.
Career Background
Xue Mei has a diverse career in engineering and research, having worked at several prominent companies. Prior to TuSimple, Mei held positions at Toyota as a Principal Scientist, GEELY as Senior Chief Engineer, and Intel Corporation as a Systems Engineer. Mei also gained valuable experience as a Software Intern at NVIDIA and as a Research Assistant at the University of Maryland.
Education and Expertise
Xue Mei earned a Bachelor of Science in Electrical Engineering from the University of Science and Technology of China, completing the program from 1997 to 2002. Mei furthered education by obtaining a PhD in Electrical Engineering from the University of Maryland, where studies spanned from 2002 to 2009. This strong academic foundation supports Mei's expertise in machine vision and autonomous systems.
Professional Contributions
Xue Mei has made significant contributions to the field of computer vision and machine learning. Mei served as a lead guest editor for a Special Issue on Visual Tracking for Computer Vision and Image Understanding. Additionally, Mei held the position of Area Chair for the International Conference on Machine Vision Applications in 2017 and for the Winter Conference on Computer Vision in both 2015 and 2016.