Kisoo Kim, Ph.D.
Executive Vice President,
Low-Carbon Process R&D Center, POSCO
POSCO’s Digital Transformation; Human-Machine Ensemble for Smart Factory
Abstract: POSCO has applied AI algorithms to more than 90 sites ever since its first application in the steelworks in 2016. AI enables autonomous operations in steel manufacturing processes by combining AI with existing physical models and also with operators, called ensemble operation, resulting in the enhancement of productivity, quality, and cost reduction.
Machine and human ensemble operations show better performances than the operation with existing physical models. This allows AI models to self-learn the know-how of experienced operators, and inexperienced operators can perform better with these Al models. POSCO continues its drive to establish an intelligent steel mill where humans and AI collaborate. Strong collaboration between academia, SMEs, start-ups, and experienced operators is the key to Smart Factory in steelworks.
Biography: Dr. Kisoo Kim is responsible for Low-Carbon Process R&D Center at POSCO. He is also working on the 4th industrial revolution technology such as Big Data, and AI, leading the innovative research on steel manufacturing facilities and processes. With his domain expertise, he has tried to shift its focus from traditionally hardware-driven improvements to AI-based adaptive and self-learning smart technology in the steel works. He graduated from the Department of Metallurgical Engineering at Seoul National University and obtained a master’s degree in Materials Science and Engineering from POSTECH. He received his Ph.D. in Mechanical Engineering from the University of Sheffield, UK. He has served as a researcher at the POSCO Technical Research Labs for 31 years.