Song*, M., Jung, J. (2026). Process Mining in the Era of Smart Manufacturing: Applications, Limitations, and Opportunities. In Mining a Scientist's Process, Germany, March, 30.

Lee, D., Song*, M., & van der Aalst, W. M. P. (2026). An Optimized Backbone-based Process Layout Generation Method using Integer Programming and Heuristics to Enhance User Comprehension, Data & Knowledge Engineering, 164, 102601.

Ryu, H., Lim, J., & Song*, M. (2026). Automatic Generation of Open Data-Based Traffic Simulation Model. IEEE Access, 14, 19852–19861.

Doh, G., Seo, J., Oh, S., & Song*, M. (2026). Comprehensive Framework for Identifying and Visualizing Key Yield Factors in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing.

Lim, J., Park, K., Song*, M., & Lee, M. Y. (2026). MedProSim: A Process Mining-Based Simulation Tool for Identifying the Causes of Waiting Times in Outpatient Departments. IEEE Access, 14, 41456–41468.

Lim, J., & Song*, M. (2024). A framework for understanding event abstraction problem solving: Current states of event abstraction studies. Data & Knowledge Engineering, 154, 102352.

Lee, S., Kim, H., Kim, B.-I., Song*, M., Lee, D., & Ryu, H. (2024). Site and capacity selection for on-site production facilities in a nationwide hydrogen supply chain deployment plan. International Journal of Hydrogen Energy, 50, 968–987.

Ryu, H., Lee, D., Shin, J., Song*, M., Lee, S., Kim, H., & Kim, B.-I. (2023). A web-based decision support system (DSS) for hydrogen refueling station location and supply chain optimization. International Journal of Hydrogen Energy, 48(93), 36223–36239.

Park, K., Cho, M., Song*, M., Yoo*, S., Baek, H., Kim, S., & Kim, K. (2023). Exploring the potential of OMOP common data model for process mining in healthcare. PLOS ONE, 18(1), 1–24.

Park, G., & Song*, M. (2023). Optimizing Resource Allocation Based on Predictive Process Monitoring. IEEE ACCESS.