Adrian Rebmann


University of Mannheim

B6, 26, Room C 2.07

D-68159 Mannheim

Email: rebmann (at)


I am a researcher in the Process Analytics research group. The chair is part of the Data and Web Science Group at the School of Business Informatics and Mathematics of the University of Mannheim. I am supervised by Prof. Dr. Han van der Aa.

Research Interests

  • Process Mining
  • Preprocessing of Event Data
  • Event Abstraction
  • Semantic Event Parsing


Google Scholar       DBLP 

A. Rebmann, H. van der Aa
Recognizing task-level events from user interaction data
In Information Systems 102404 (2024)

A. Rebmann, H. van der Aa
Enabling semantics-aware process mining through the automatic annotation of event logs
In Information Systems 102111 (2022)

A. Rebmann, H. van der Aa
Unsupervised Task Recognition from User Interaction Streams
2023 International Conference on Advanced Information Systems Engineering, 141–157

A. Rebmann, J-R. Rehse, H. van der Aa
Uncovering Object-centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL
Business Process Management -- 20th International Conference (2022)
A. Rebmann, M. Weidlich, H. van der Aa
GECCO: constraint-driven abstraction of low-level event logs
2022 IEEE 38th International Conference on Data Engineering (ICDE), 150–163
A. Rebmann, H. van der Aa
Extracting semantic process information from the natural language in event logs
2021 International Conference on Advanced Information Systems Engineering, 57–74

H. van der Aa, A. Rebmann, H. Leopold
Natural language-based detection of semantic execution anomalies in event logs
In Information Systems 102, 101824 (2021)

J. Caspary, A. Rebmann, H. van der Aa
Does This Make Sense? Machine Learning-Based Detection of Semantic Anomalies in Business Processes.
Business Process Management -- 21st International Conference (2023)