Professor Sung Whan Yoon of the Graduate School of Artificial Intelligence (AIGS) and Department of Electrical Engineering at UNIST has been honored with a Ministerial Commendation from the Ministry of Science and ICT (MSIT) for his contributions to digital talent development. 

The award recognizes his efforts to advance reliable AI technologies, while connecting AI education with real-world manufacturing challenges.

A major challenge in applying AI to factories is the gap between the lab and the field. Data collected from actual equipment often differs from the data used to train a model. Changes in materials, machine conditions, operating methods, or data quality can all weaken model performance. In manufacturing, those errors can lead directly to production losses or safety risks.

Professor Yoon has worked to address that problem through robust AI algorithms. Robust AI refers to machine learning systems that continue to perform reliably even when conditions change. Rather than pursuing high accuracy only under fixed conditions, his work focuses on AI that can make dependable decisions in real industrial environments.

His research has also drawn international recognition. At the International Conference on Learning Representations (ICLR) 2025, one of the world’s leading AI conferences, his work on improving the stability of reinforcement learning models was selected for an oral presentation. Oral presentations at ICLR are typically reserved for roughly the top 2 percent of submitted papers.

Reinforcement learning allows AI systems to improve decisions through trial and error. In manufacturing, it can help optimize equipment settings and production processes. But factories leave little room for unstable decisions, since one wrong choice can create cost and safety risks. Professor Yoon’s research showed how reinforcement learning models can become more stable under uncertain or changing field conditions, moving the technology closer to industrial use.

Beyond research, Professor Yoon has also brought those advances into AI education for manufacturing professionals. Since joining UNIST, Professor Yoon has helped design and run AI programs for industry workers in Ulsan and the southeastern region. The programs are built around problems participants face in their own factories, turning actual production issues into hands-on AI projects.

His team has applied reinforcement learning-based optimization methods to manufacturing and processing facilities. The work aims to improve equipment operations while maintaining process stability and safety. This link between AI training and workplace change was a key reason for the commendation.

Professor Yoon currently serves as a project leader in the national AI Star Fellowship program. In partnership with SK Energy, he is developing core technologies for robust manufacturing AI that can be used in complex process industries, including petrochemicals.

“High performance alone is not enough for AI to succeed in industry,” Professor Yoon said. “AI systems must remain stable even when conditions change. We will continue developing robust AI technologies and connecting them to manufacturing solutions and digital talent development.”