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efficiency, and resilience. This research directly addresses these challenges by developing high-performance, secure, and adaptive AI-driven architectures. With increasing global investments in AI-powered
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development timescales and cost. This could yield efficiency improvements in areas like integrated fan-intake systems, very high bypass ratio engines, ultra-efficient boundary layer ingestion architectures
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about the uncertainties affecting the MASs in uncertain environments, the PhD candidate shall explore the possibility of proposing a novel risk-aware motion planning architecture using robust risk
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the identification of topologies and technologies that can support current and future geared architectures. Within this context applying Model Based Systems Engineering principles for defining requirements and
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operate at a wide range of flow – speed combination. The traditional centrifugal architecture for aircraft LH2 pumps has several challenges to meet these design requirements. Therefore, the main impact of