Cheolu Choi earned his bachelor's degree in Precision Mechanical Engineering at Hanyang University in 2002. Since 2002, he has worked as a Chief Research Engineer at LG Electronics. His primary research focuses on developing methods for constructing and utilizing living appliance product test and development data.

Yongwan Kwon received his BS degree from the School of Electronic Engineering of Pukyong National University, Busan, South Korea, and his MS degree from the School of Mechanical Engineering, Pusan National University, Busan, South Korea. He is currently a PhD student in the same graduate school. His current research interests are computer vision, machine learning, deep neural networks, and object detection.

Dongjoong Kang received a BS in Precision Engineering from Pusan National University in 1988 and a PhD in Automation and Design Engineering from KAIST (Korea Advanced Institute of Science and Technology) in 1998. From 2004 to 2005, he was a postdoctoral researcher at Cornell University, and from 1997 to 1999, he was a research engineer at Samsung Advanced Institute of Technology (SAIT). He has been a professor at the School of Mechanical Engineering at Pusan National University since 2006. His current research interests include visual surveillance, intelligent vehicles/robotics, machine vision, and deep learning.

Changseop Kim received his PhD in Mechanical and Intelligent Systems Engineering from the Pusan National University in 2000. He works as Chief Research Engineer at LG Electronics (2010–now). His research topics mainly include the noise and vibration of front-loading washers and the control algorithms of spin.

Expert Advisor, Virtual Metrology Team, Manufacturing Intelligence, LG Energy Solution. He completed his bachelor's and master's degrees in Industrial Engineering at Sungkyunkwan University, Currently, he is leading a project on AI-based control optimization and virtual metrology development at LG Energy Solution, He has published papers on knowledge-based technologies for improving work efficiency in product development and production, and holds related patents. His main interests include virtual metrology, reinforcement learning, active learning, and optimization algorithms.