Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Database and Information Systems

Martin Kabierski

I am a third-year Ph.D. student working in the Database and Information Systems group.

My research interests include, among others:

  • Sample-based process analysis
  • Approximative conformance checking
  • Privacy protection in BPM and sequential data

 

Currently, I conduct research in the context of the DFG-funded project Process Conformance under incomplete Information (ProCI). In this project, we aim to derive efficient and error-bounded procedures for conformance analysis between process models and event logs, that do not rely on the analysis of the complete event log or event stream, but rather on samples thereof. These procedures thus enable conformance analysis in a timely manner with provable accuracy guarantees.

 

Profiles and Bibliography

 

Awards & Recognitions

  • Best Student Paper Award: 3rd International Conference on Process Mining (ICPM'22)
  • Distinguished Paper Award: 33rd International Conference on Advanced Information Systems Engineering (CAiSE'21)
  • Runner-Up: GP-Nachwuchspreis 2020
  • Runner-Up Best Paper Award: 17th International Conference on Business Process Management (BPM'19)
  • Current holder of the Humboldt-Informatik GONG Show crown in the student category (HIGS'19)

 

Academic Service

  • Program Committee: 3rd Workshop on Responsible Process Mining (RPM'22)
  • Program Committee: 14th Central European Workshop on Services and their Composition (ZEUS'22)