Iris Graessler
Papers
2
Total Citations
7
H-Index
2
About
Iris Graessler is a leading researcher in the engineering of Cyber-Physical Systems (CPS) and System of Systems (SoS), with a particular focus on model-based methodologies for complex, dynamic environments. Her work addresses critical challenges in the design and validation of networked CPS, such as Cyber-Physical Production Systems (CPPS) involving robotic arms and manufacturing cells. Graessler’s major contributions include pioneering model-based impact analysis for dynamic SoS, enabling engineers to predict and manage resilience to changes in real-time. She has also developed systematic approaches for planning test cases and test scenarios early in the product creation process, bridging gaps in Model-Based Systems Engineering to reduce costly iterations. Her most cited paper, “Model-based impact analysis in dynamic System of Systems” (2024), has garnered 5 citations, while her work on test planning has received 2 citations, reflecting growing interest in her practical frameworks. Graessler’s research is instrumental in advancing resilient, efficient engineering practices for next-generation automated systems, making her a key figure in the evolution of smart manufacturing and CPS integration.
Research Focus
Key Achievements
Top Papers
- 1Model-based impact analysis in dynamic System of Systems5 citations · 2024
- 2