Kyoungmin Lee
About Kyoungmin Lee
Kyoungmin Lee is a Technical Specialist and Machine Learning/Artificial Intelligence Scientist at Ford Motor Company, where he has worked since 2018. He has extensive experience in deep learning techniques and autonomous vehicle perception, with previous roles at Stanford University, POSTECH, and the Naval Postgraduate School.
Work at Ford Motor Company
Kyoungmin Lee has been employed at Ford Motor Company since 2018 as a Technical Specialist in Machine Learning and Artificial Intelligence. In this role, he focuses on applying advanced machine learning techniques to enhance the capabilities of Ford's vehicle systems. Prior to his current position, he served as an Autonomous Vehicle Data Scientist at Ford from 2015 to 2017, where he contributed to the development of autonomous driving technologies.
Education and Expertise
Kyoungmin Lee holds multiple degrees from Pohang University of Science and Technology. He earned his Bachelor of Science in Mechanical Engineering from 1996 to 2003, followed by a Master of Engineering in Robotics from 2003 to 2005. He completed his PhD in Robotics from 2005 to 2009. His expertise includes deep learning-based perception for autonomous vehicles and multimedia analysis using deep learning techniques.
Background in Research and Academia
Kyoungmin Lee has a diverse academic background, including a position as a Visiting Scholar at Stanford University in 2011 for eight months. He also worked as a Post-doctoral Researcher at POSTECH from 2009 to 2010. Additionally, he served as a National Research Council Research Associate at the Naval Postgraduate School from 2011 to 2015, focusing on various research initiatives in robotics and machine learning.
Professional Experience in Robotics and AI
Kyoungmin Lee has extensive experience in the fields of robotics and artificial intelligence. He worked as a Software Engineer II at Argo AI from 2017 to 2018, where he applied his skills in machine learning to develop software solutions for autonomous vehicles. His research interests include integrated exploration of mobile robots, motion planning, and simultaneous localization and mapping.
Technical Skills and Research Areas
Kyoungmin Lee possesses a strong foundation in various technical areas, including geometric algebra, optimization, statistical estimation, and acoustics. His research has primarily focused on the application of deep learning techniques to improve perception systems in autonomous vehicles, contributing to advancements in the field of robotics.