Haixiang(nick) Fang
About Haixiang(nick) Fang
Haixiang (Nick) Fang is a Sensor and Calibration Engineer at TuSimple, with a background in Energy and Power Engineering and Mechanical Engineering. He has experience in the HVAC and thermal industry and has worked in various research and engineering roles across multiple organizations.
Work at TuSimple
Currently, Haixiang Fang serves as a Sensor and Calibration Engineer at TuSimple, a company specializing in self-driving technology. He has been with TuSimple since 2021, contributing to the development and calibration of sensors essential for autonomous vehicles. His role involves ensuring that the sensors operate accurately and reliably, which is critical for the safety and efficiency of self-driving systems. TuSimple is based in Tucson, Arizona, where Fang applies his expertise in mechanical engineering and calibration.
Education and Expertise
Haixiang Fang holds a Bachelor's degree in Energy and Power Engineering from the University of Shanghai for Science and Technology, where he studied from 2013 to 2017. He furthered his education by obtaining a Master's degree in Mechanical Engineering from the University of Maryland, completing his studies from 2018 to 2020. His academic background provides him with a strong foundation in engineering principles, which he applies in his current role in the self-driving industry.
Background
Before joining TuSimple, Haixiang Fang gained diverse experience in various engineering roles. He worked as an intern at Ingersoll Rand - Trane, Inc. in Shanghai, China, and served as an HVAC Application Engineer at Daikin Industries, Ltd. - McQuay. He also held positions as a Graduate Research Assistant at The City University of New York and an Undergraduate Research Assistant at the University of Shanghai for Science and Technology. His background includes significant experience in the HVAC and thermal industry, as well as research in biomechatronics and robotics.
Research and Projects
During his time at the University of Maryland, Haixiang Fang participated in the AWS Data Challenge Project, focusing on mBike Bikeshare Usage Analysis in 2019. This project involved analyzing data related to bikeshare usage, contributing to his skills in data analysis and project management. Additionally, he worked in the Biomechatronics and Intelligent Robotics Lab at the City College of New York, where he engaged in research that aligns with his interests in robotics development.
Career Interests
Haixiang Fang has expressed a keen interest in both intern and full-time positions within the self-driving industry, robotics development, and mechanical design. His educational background and professional experiences have equipped him with the skills necessary to excel in these fields. Fang's career aspirations reflect his commitment to advancing technology in autonomous systems and robotics.