Kuk Jin Yoon
About Kuk Jin Yoon
Kuk Jin Yoon is a professor at KAIST, specializing in computer vision and machine learning, with a focus on applications in autonomous systems. He has extensive academic and industry experience, including previous roles at Gwangju Institute of Science & Technology and NAVER LABS Corp.
Work at KAIST
Kuk Jin Yoon has been a Professor at KAIST since 2018. His role involves teaching and conducting research in the fields of computer vision and machine learning. He actively seeks international collaboration opportunities to enhance research output and foster innovation in these areas. His current work focuses on practical applications of these technologies in various autonomous systems.
Education and Expertise
Kuk Jin Yoon completed his Bachelor of Science in Electrical Engineering at KAIST from 1994 to 1998. He furthered his education at the same institution, earning a Master of Science in Electrical Engineering and Computer Science from 1998 to 2000. He then obtained his Doctor of Philosophy in Electrical Engineering and Computer Science from 2000 to 2006. His educational background provides a strong foundation for his research interests.
Background
Before joining KAIST, Kuk Jin Yoon worked as a Professor at the Gwangju Institute of Science & Technology from 2008 to 2018. He also served as a post-doctoral researcher at Inria from 2006 to 2008. Additionally, he held technical advisory positions at NAVER LABS Corp. and Samsung Electronics in 2017. His diverse experience in academia and industry contributes to his expertise in computer vision and machine learning.
Research Interests
Kuk Jin Yoon's research interests lie in the practical applications of computer vision and machine learning. He focuses on developing technologies for autonomous driving vehicles, drones, and robots. He leads a visual intelligence laboratory that aims to advance these technologies and their integration into autonomous systems.