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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as retrainable ML models, LLMs
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with industry or government agencies. The teaching includes lectures, practical elements, and course development at undergraduate and graduate levels in software engineering. In addition, supervision
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on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
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industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools
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funding at national and international levels. The teaching tasks include lecturing, practical elements and course development at undergraduate and graduate level. In addition, supervision of theses and