Speakers
Minseok Song
Professor, Industrial & Management Engineering, Pohang University of Science and Technology (POSTECH), Korea
Minseok Song is a Professor in the Department of Industrial and Management Engineering at POSTECH, Korea, and Director of the Wil van der Aalst Data & Process Science Research Center. His research focuses on process mining, object-centric process analysis, predictive process monitoring, and the application of AI, simulation, and digital twins to operational decision-making. He has collaborated with organizations including POSCO and Samsung Electronics on manufacturing applications, and has also conducted research in healthcare and other service domains. He currently serves as Vice President of Planning at POSTECH.
| Date: |
| Wednesday, 7 October 2026 |
| Time: |
| 4:40 pm - 5:30 pm |
| Venue: |
| E1-07-21/22 - ISEM Executive Classroom |
Abstract
Organizations generate extensive event data, but these records rarely show how work actually unfolds. Process mining connects data with operational processes, enabling organizations to discover process flows, identify deviations and bottlenecks, and monitor performance. This talk introduces the core concepts of process mining and discusses recent advances in object-centric process mining, predictive process monitoring, and process simulation. Applications in manufacturing illustrate its practical value, including bottleneck analysis and process load prediction in POSCO’s steel production, as well as fabrication process analysis with Samsung Electronics. The talk concludes by considering how process mining, together with AI and simulation, can support better decisions in complex engineering systems.