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project aims to address this gap through the development of a rigorous empirical framework for evaluating the security robustness, failure modes, and operational risks of AI decision engines in cyber
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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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the security robustness, failure modes, and operational risks of AI decision engines in cyber‑physical environments. Impact and Relevance The proposed research directly addresses challenges faced by industries
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