Long Sha
About Long Sha
Long Sha is a Senior Research Scientist at TuSimple, where he leads the video perception team focused on camera perception solutions for autonomous driving. He has a background in computer vision and machine learning, holding a PhD from Queensland University of Technology.
Work at TuSimple
Long Sha has been employed at TuSimple as a Senior Research Scientist since 2021. In this role, he leads the video perception team, focusing on enhancing camera perception solutions for autonomous driving. His work is integral to the development of advanced technologies that support the company's mission in the autonomous vehicle sector. TuSimple is known for its innovations in self-driving technology, and Sha's contributions are aimed at improving the reliability and efficiency of perception systems.
Previous Experience
Prior to his current position, Long Sha worked at Stats Perform as an AI Scientist and Tech Lead from 2017 to 2021. He also held a role as a Data Scientist at STATS LLC for nine months in 2016. Earlier in his career, he served as a Lab Associate at Disney Research for three months in 2015. His experience spans various roles in the field of artificial intelligence and data science, contributing to his expertise in camera perception solutions.
Education and Expertise
Long Sha earned his Doctor of Philosophy (PhD) in Computer Vision and Machine Learning from Queensland University of Technology (QUT), where he studied from 2012 to 2017. He also holds a Bachelor's degree in Electrical and Electronics Engineering from QUT, completed between 2009 and 2012. His academic background provides a strong foundation for his work in developing camera perception solutions for autonomous driving applications.
Internship Experience
Long Sha began his professional journey with an internship at CSIRO, where he worked as an Undergraduate Intern from 2011 to 2012 for three months. This early experience contributed to his understanding of research and development in technology, setting the stage for his subsequent roles in the industry.