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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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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
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learning models—alters the way software systems evolve (SE4AI). A strong focus will be on the post-deployment lifecycle of ML components, including drift detection, model decay, retraining triggers, and