Martin Käppel - Chair of Digital Industrial Service Systems

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

Weinzierl S., Zilker S., Ließmann A., Käppel M., Wang W., Matzner M.:
From source to target: Leveraging transfer learning for predictive process monitoring in organizations (Forthcoming)
In: Business & Information Systems Engineering (2025)
ISSN: 1867-0202

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)

Publications at the Universität Bayreuth