Sang Uk Lee
About Sang Uk Lee
Sang Uk Lee is a Senior Engineer at Motional, specializing in human activity recognition and autonomous vehicle motion planning. He holds a PhD in Mechanical Engineering from the Massachusetts Institute of Technology and has extensive experience in research and development.
Work at Motional
Sang Uk Lee has been employed at Motional as a Senior Engineer since 2021. In this role, he is part of the Autonomy Research team, where he contributes as a research scientist. His work involves applying his expertise in mechanical engineering and research to advance the development of autonomous vehicle technologies.
Education and Expertise
Sang Uk Lee holds a Doctor of Philosophy (PhD) in Mechanical Engineering from the Massachusetts Institute of Technology, which he completed from 2016 to 2021. His PhD research focuses on human activity recognition from video streams, utilizing computer vision and machine learning techniques. He also earned a Master of Science (MS) in Mechanical Engineering from MIT from 2014 to 2016, where his research centered on developing robust motion planning strategies for autonomous vehicles. Additionally, he obtained a Bachelor's degree in Mechanical Engineering from Seoul National University, studying from 2008 to 2014.
Background
Sang Uk Lee has a strong academic background in mechanical engineering, with significant experience in research and development. He worked at the Massachusetts Institute of Technology for seven years, serving as a Research Assistant from 2014 to 2021 and as a Teaching Assistant for three months in 2019. He also gained practical experience as a Summer Intern at Aptiv in 2019, where he worked for two months in Boston, MA.
Research Contributions
Sang Uk Lee's research contributions are notable in the fields of computer vision and machine learning, particularly in the context of autonomous vehicles. His PhD research on human activity recognition from video streams integrates advanced techniques to enhance the understanding of human behaviors. His MS research focused on motion planning strategies, which are critical for the navigation and operation of autonomous systems.