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fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic devices, the research will integrate
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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, transportation networks, and water treatment plants, increasingly rely on AI-driven decision-making for efficiency and autonomy. However, these systems face unique safety challenges. Real-world conditions
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. This research will directly contribute to more reliable, cost-effective and environmentally responsible floating wind technology, helping secure a sustainable, net-zero energy future. Number Of Awards 1 Start
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and architectures that support efficient, secure, and scalable machine learning operations (MLOps) across resource-constrained environments for Edge AI. Ethical, and responsible FL for healthcare: In
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environmentally responsible floating wind technology, helping secure a sustainable, net-zero energy future. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors Dr
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explore key physical processes governing CO2 plume migration, trapping mechanisms, and fluid–rock interaction under realistic subsurface conditions. The goal is to generate insights that improve the safety