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I find my motivation in improving the design of embedded and cyber-physical systems. These systems are at the heart of our smart society. Dependable operation is essential. Their design should be model-driven and based on rigorous mathematical foundations. I focus on performance engineering, design-space exploration, computational models, and system synthesis. Model-driven design improves time-to-quality and the cost-performance ratio of systems.
System performance often brings the competitive advantage for high-tech cyber-physical systems like semiconductor equipment, analytical instruments, and medical equipment. In 2021, we published our views on challenges, focus areas and best practices for model-driven system-performance engineering (SysPE). Other recent work focused on model-driven specification and analysis of cyber-physical production systems through max+ linear systems. High-level performance models allow an effective and efficient design-space exploration for such systems. We have further been developing a component interface model for quality- and resource management (QRM) of cyber-physical systems (CPS). The QRM view complements the functional view on systems. Making the QRM view of CPS explicit enables both design time and runtime reasoning about tradeoffs between system qualities and the required resource budgets.