2025W

• Information Systems Engineering / 194.143 / VU

2026S

• Advanced Model Engineering / 194.195 / VU

• Turning Process Models into Videos / Gavric, A., Bork, D., & Proper, H. (2025). Turning Process Models into Videos. In 2025 27th International Conference on Business Informatics (CBI) (pp. 32–41). IEEE. https://doi.org/10.1109/CBI68102.2025.00015
• Petri Net of Thoughts: A Structure-Enhanced Prompting Approach for Process-Aware Artificial Intelligence / Gavric, A., Bork, D., & Proper, H. (2025). Petri Net of Thoughts: A Structure-Enhanced Prompting Approach for Process-Aware Artificial Intelligence. In L. Pufahl & J.-R. Rehse (Eds.), EMISA 2025 : 15th International Workshop on Enterprise Modeling and Information Systems Architectures : May 14-16, 2025 Heilbronn, Germany (p. 15). https://doi.org/10.18420/EMISA2025_15
• Towards the Enrichment of Conceptual Models with Multimodal Data / Gavric, A., Bork, D., & Proper, H. A. (2025). Towards the Enrichment of Conceptual Models with Multimodal Data. In Proceedings of the 33rd International Conference on Information Systems Development. The 33rd International Conference on Information Systems Development (ISD 2025), Belgrad, Serbia. https://doi.org/10.62036/ISD.2025.15
• Surgery AI: Multimodal Process Mining and Mixed Reality for Real-time Surgical Conformance Checking and Guidance / Gavric, A., Bork, D., & Proper, H. (2025). Surgery AI: Multimodal Process Mining and Mixed Reality for Real-time Surgical Conformance Checking and Guidance. In Proceedings of the 17th Central European Workshop on Services and their Composition (ZEUS 2025) : Vienna, Austria, February 20-21, 2025. 17th Central European Workshop on Services and their Composition ZEUS 2025, Wien, Austria.
• Enriching Business Process Event Logs with Multimodal Evidence / Gavric, A., Bork, D., & Proper, H. A. (2024). Enriching Business Process Event Logs with Multimodal Evidence. In The Practice of Enterprise Modeling (pp. 175–191). https://doi.org/10.1007/978-3-031-77908-4_11
• Stakeholder-specific Jargon-based Representation of Multimodal Data within Business Process / Gavric, A., Bork, D., & Proper, H. (2024). Stakeholder-specific Jargon-based Representation of Multimodal Data within Business Process. In S. Hacks & B. Roelens (Eds.), Companion Proceedings of the 17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling Forum, M4S, FACETE, AEM, Tools and Demos. http://hdl.handle.net/20.500.12708/208681
• Multimodal Process Mining / Gavric, A., Bork, D., & Proper, H. (2024). Multimodal Process Mining. In 2024 26th International Conference on Business Informatics (CBI) (pp. 99–108). https://doi.org/10.1109/CBI62504.2024.00021
• How Does UML Look and Sound? Using AI to Interpret UML Diagrams Through Multimodal Evidence / Gavric, A., Bork, D., & Proper, H. A. (2024). How Does UML Look and Sound? Using AI to Interpret UML Diagrams Through Multimodal Evidence. In Advances in Conceptual Modeling (pp. 187–197). https://doi.org/10.1007/978-3-031-75599-6_14
• Encoding Conceptual Models for Machine Learning: A Systematic Review / Ali, S. J., Gavric, A., Proper, H., & Bork, D. (2023). Encoding Conceptual Models for Machine Learning: A Systematic Review. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. 562–570). IEEE. https://doi.org/10.1109/MODELS-C59198.2023.00094
  Project: MFP 4.2 (2022–2023)