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already developed bio-inspired methods for distributed repair, fault-tolerant interconnects, and secure hardware. These approaches allow electronic systems to adapt to failures, handle security breaches and
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C. Yin, P. Xiao, V. Sharma, Z. Chu, Garcia-Palacios, Machine Learning Based Physical Layer Security for Detecting Active Eavesdropping Attacks, IEEE Commun. Lett., 1-5, 2025. Bowman, T., Georgalas
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Summary Hydrogen is a cornerstone of transition to net zero future. It is clean alternative to fossil fuels across all sectors. Safety is the main concern for deployment of hydrogen systems and
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Summary Accidental fires continue to pose significant threats to public safety and building resilience and have far-reaching consequences—physical, psychological, economic, social, and environmental
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enabled healthcare. The work aims to enhance patient safety, improve clinical decision making, and build public trust in emerging digital health technologies through secure, transparent, and ethical
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Evolutionary algorithms or genetic programming Financial compliance, regulatory technology, or financial crime prevention domain knowledge Adversarial machine learning or AI security Personal attributes: Strong
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Summary Research Context Positioned within Ulster University’s School of Computing, this research theme focuses on the development of secure, transparent, and ethical artificial intelligence
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and legacy of conflict and securing equality for vulnerable and marginalised groups. Key themes in our work include peacebuilding, truth recovery, accountability, the role of international institutions
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high accuracy with less data while ensuring that decisions remain transparent and open to human oversight, qualities that are vital in digital health and other safety-critical applications
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available, based on 0.5 of the full time rate, and will require a six year registration period Recommended reading Bhat S, Fernandez CJ, Lakshmi V, Pappachan JM. Efficacy and safety of incretin co-agonists