Intro

"The Workflow Systems and Technology (WST) research group primarily focuses on process mining, which is the analysis of organizational processes based on data generated during their execution. In this context, the areas of interest of WST members include (but are not limited to):

Semantics-aware process mining
Business process simulation
Studying process change and dynamics
Predictive process monitoring
Visualization of process analysis insights,
Responsible process mining

The analysis techniques we develop are versatile and can be applied to a wide variety of domains, including processes found in commercial enterprises, such as the production of goods or the handling of customer orders, public administration, such as permit-request management, and healthcare settings, where the focus is on the analysis of treatment processes."

News

WST Master Thesis Project Leads to ICPM 2025 Paper

22.08.2025

Research by Vira Pyrih (MSc graduate in computer science) during her master thesis project has resulted in a publication in the main track of a flagship conference in the field: the International Conference on Process Mining, 2025, taking place in Montevideo, Uruguay in October.

The paper titled "LLMs that Understand Processes: Instruction-Tuning for Semantics-Aware Process Mining", by Vira Pyrih, Adrian Rebmann, and Han van der Aa reports on experiments that assess the potential of using instruction-tuning as a means to obtain LLMs that are better at performing process-analytical tasks than out-of-the-box models. The findings suggest that instruction-tuning is a promising path toward more scalable applications of LLMs for semantics-aware process mining, particularly for discovery and predictive tasks.

Read the full paper here.