Martin Kabierski
I am a fourth-year Ph.D. student working in the Database and Information Systems group and a research associate of the research group "Sicherheit und Transparenz digitaler Prozesse" of the Weizenbaum-Insitut.
My research interests include, among others:
- Sample-based process analysis and preprocessing
- Representativeness and data quality of event data
- (Approximative) conformance checking
- Privacy protection in BPM and sequential data
Currently, I conduct research in the context of the DFG project Process Conformance under incomplete Information (ProCI). We aim to derive efficient and error-bounded procedures for process analysis in two settings: a sample-based setting, in which accurate process insights are to be derived efficiently on samples of event data, and under an open-world setting, that explicitly considers the sample-based nature of event data.
Profiles and Bibliography
Teaching
- Foundations of Programming: Instructor (WiSe 2022/23)
- Foundations of Programming: Instructor (WiSe 2020/21)
Awards & Recognitions
- Best Paper Award: 5th International Conference on Process Mining (ICPM'23)
- Best Student Paper Award: 3rd International Conference on Process Mining (ICPM'21)
- 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)
- Winner of Humboldt-Informatik GONG Show in the student category 2019 (HIGS'19)
Academic Service
- Programm Committe: 16th Central European Workshop on Services and their Composition (ZEUS'24)
- Program Committee: 4th Workshop on Responsible Process Mining (RPM'23)
- Program Committee: 15th Central European Workshop on Services and their Composition (ZEUS'23)
- Program Committee: 3rd Workshop on Responsible Process Mining (RPM'22)
- Program Committee: 14th Central European Workshop on Services and their Composition (ZEUS'22)