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theoretical advances into practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with
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across multiple space assets. The research will centre on the design and implementation of onboard AI systems that enable the autonomous management of mission planning, data acquisition, and satellite
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systematically linking experimental and literature-based biological insight with advanced numerical methods, the hope is to provide a toolbox of well-grounded models and design primitives that can be used
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aerospace and space systems while remaining computationally tractable. A key objective is to transform theoretical advances into practical tools that can support analysis, design and decision-making in a
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concepts and bio-inspired materials for sensing and protection in extreme environments. Recent projects include work on “evomimetics”, which integrates evolutionary biology into biomimetic design by studying