Martin Käppel
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
No publications found.
No publications found.
2024
- Ackermann L., Käppel M., Marcus L., Moder L., Dunzer S., Hornsteiner M., Ließmann A., Zisgen Y., Empl P., Herm LV., Neis N., Neuberger J., Schaschek M., Weinzierl S., Wörderhoff N., Jablonski S., Koschmider A., Kratsch W., Matzner M., Rinderle-Ma S., Röglinger M., Schönig S., Winkelmann A.:
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)