Research Areas
- Process Mining
- Predictive Business Process Monitoring
- Small Sample Learning
- Interpretable Machine Learning
CV
Work Experience
| Since 11/2024 | Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Research Associate | Chair of Digital Industrial Service Systems |
| 08/2018 – 10/2024 | Universität Bayreuth Research Associate | Chair for Databases and Information Systems |
Education
| Since | Universität Bayreuth Doctoral degree | Business Process Management |
| 10/2016 – 03/2019 | Universität Bayreuth Master of Science | MINT-Lehramt Plus |
| 10/2015 – 06/2019 | Universität Bayreuth Master of Education | Lehramt Gymnasium Mathematik/Informatik |
| 10/2011 – 07/2018 | Universität Bayreuth First State Examination | Lehramt Gymnasium Mathematik/Informatik |
| 10/2011 – 06/2016 | Universität Bayreuth Bachelor of Science | Lehramt Gymnasium Mathematik/Informatik |
Publications
2025
- , , , , , :
From source to target: Leveraging transfer learning for predictive process monitoring in organizations (Forthcoming)
In: Business & Information Systems Engineering (2025)
ISSN: 1867-0202
2026
- , , , , , :
A Human-in-the-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
23rd International Conference on Business Process Management, BPM 2025 (Seville, 31. August 2025 - 5. September 2025)
In: Arik Senderovich, Cristina Cabanillas, Irene Vanderfeesten, Hajo A. Reijers (ed.): Lecture Notes in Computer Science 2026
DOI: 10.1007/978-3-032-02867-9_21
2025
2024
- , , , , , , , , , , , , , , , , , , , , , , :
Recent Advances in Data-Driven Business Process Management
(2024)
Open Access: https://arxiv.org/abs/2406.01786
URL: https://arxiv.org/abs/2406.01786
(online publication)