Martin just defended his PhD thesis on "Representative Samples in Process Mining" at the Humboldt-Universität zu Berlin, so we are more than pleased that he will continue his academic career with us! He works on exciting topics, primarily related to sampling and generalization in the context of event data. Check out his track record here: https://dblp.org/pid/62/4807-6.html
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
New Post-Doc in WST: Martin Kabierski
01.07.2025