2024W

• Information Systems Engineering / 194.143 / VU

2025S

• Advanced Model Engineering / 188.953 / SE
• Advanced Model Engineering / 188.952 / VU
• Research Methods / 194.078 / SE

• 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)