Projects per year
Abstract
Digital twins promise tremendous potential to better understand and make use of cyber-physical systems in automotive, avionics, manufacturing, medicine, and many more domains. Despite many of the twinned systems being developed using models, engineering digital twins currently is ad-hoc and demands integrating different piecemeal technologies, which effectively hinders the application of digital twins. The focus of many digital twins and frameworks to create digital twins is on data acquisition and visualization via dashboards. Current research on digital twins focuses on specific implementations (bottom-up) or abstract models on how digital twins could be conceived (top down). Yet, there is a huge gap between both views that only research on model-driven engineering (MDE) can reduce. Hence, MDE is crucial to fully and systematically leverage the potential of digital twins. Currently, a venue bringing together experts from the modelling community on this topic is missing: ModDIT’21 brings together researchers on and developers of digital twins come together to shape the future of systematically designing, engineering, evolving, maintaining, and evaluating digital twins.
| Original language | English |
|---|---|
| Title of host publication | Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 |
| Pages | 210-211 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665424844 |
| DOIs | |
| Publication status | Published - Oct 2021 |
Fields of science
- 202017 Embedded systems
- 102002 Augmented reality
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102020 Medical informatics
- 102022 Software development
- 102034 Cyber-physical systems
- 201132 Computational engineering
- 201305 Traffic engineering
- 207409 Navigation systems
- 502032 Quality management
- 502050 Business informatics
- 503015 Subject didactics of technical sciences
JKU Focus areas
- Digital Transformation
Projects
- 1 Finished
-
CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production
Eisenberg, M. (Researcher), Gemeinhardt, F. (Researcher), Govindasami, H. S. (Researcher), Jayaraman, R. (Researcher), Mitter, A. (Researcher), Sindelar, R. (Researcher), Sint, S. (Researcher), Taspinar, B. (Researcher) & Wimmer, M. (PI)
01.01.2017 → 31.12.2023
Project: Funded research › Other sponsors