Christian Dormagen

2025

• Christian Dormagen, Jonas Amling, Stephan Scheele, and Ute Schmid. Explaining Process Behavior: A Declarative Framework for Interpretable Event Data. Accepted for publication in: Proceedings of the 3rd World Conference on eXplainable Artificial Intelligence (XAI 2025), Late-Breaking Work Track.
• Jonas Amling, Emanuel Slany, Christian Dormagen, Marco Kretschmann, and Stephan Scheele. Bridging the Interpretability Gap in Process Mining: A Comprehensive Approach Combining Explainable Clustering and Generative AI. Accepted for publication in: Proceedings of the 3rd World Conference on eXplainable Artificial Intelligence (XAI 2025), Main Track.
• Christopher Lorenz Werner, Jonas Amling, Christian Dormagen, and Stephan Scheele. ClustXRAI: Interactive Cluster Exploration and Explanation for Process Mining with Generative AI. Accepted for publication in: Proceedings of the 3rd World Conference on eXplainable Artificial Intelligence (XAI 2025), Demonstrator Track.

2024

• [Master Thesis, Applied Computer Science] Inductive Learning of System-Level Process Behaviour Explanations

2023

• Christian Dormagen. Towards Semantic-driven, Declarative and Interactive Process Mining. In: Proceedings of the ICPM 2023 Doctoral Consortium and Demo Track. CEUR Workshop Proceedings, vol. 3648, CEUR-WS.org, 2023. Available at: https://ceur-ws.org/Vol-3648/.

2022

• Research Assistant, Otto-Friedrich University, Bamberg. Working on the project Künstliche Intelligenz in der Geschäftsprozessanalyse (KIGA) at the Cognitive Systems Chair
• [Bachelor Thesis, Applied Computer Science]Exploiting Complex Relations in Process Discovery