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. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based
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early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based platforms, co-creation workflows, and
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correct, controllable, auditable, and SLA-compliant. The PhD work is grounded in the systems reality of deploying AI agents against real network platforms, where decisions about whether to execute
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, failures and performance degradations can cascade across domains and slices, and platforms are often multi-vendor with different APIs and data formats. At the same time, GenAI and Agentic AI can help
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navigation systems (ANS) and secondary focus on external situation awareness (ESA). Design and implementation of an agentic AI-based multi-agent architecture for structured testing and assurance, inspired by