Bio

Michelle Jungmann is a Ph.D. student at the Institute of Applied Informatics and Formal Description Methods at the Karlsruhe Institute of Technology. Her research is focused on the fusion of expert knowledge and data for hybrid model extraction approaches in the context of Digital Twins.

Research Interests

• Digital Twins • Simulations • Expert Knowledge • Natural Language Processing

Online Presence

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Publications

2025

Fusing Expert Knowledge and Internet of Things Data for Digital Twin Models: Addressing Uncertainty in Expert Statements
Jungmann, M.; Lazarova-Molnar, S.
2025. Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 31st March - 4th June 2025, Catania, 874–881, Association for Computing Machinery (ACM). doi:10.1145/3672608.3707826

2024

Fusing Expert Knowledge and Data for Simulation Model Discovery in Digital Twins: A Case Study from Reliability Modeling
Jungmann, M.; Lazarova-Molnar, S.
2024. 2024 Winter Simulation Conference (WSC), 15th -18th December 2024, Orlando, FL, 2463–2474, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WSC63780.2024.10838878

Towards Fusing Data and Expert Knowledge for Better-Informed Digital Twins: An Initial Framework
Jungmann, M.; Lazarova-Molnar, S.
2024. Procedia Computer Science, Elsevier