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sustainable resource extraction for geothermal heating. The outcomes will support improved prediction, design, and performance assessment of geothermal systems, contributing to risk reduction and more efficient
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project will investigate the design and evaluation of quantum-safe security mechanisms for 6G networks, with a particular focus on delay-sensitive and resource-constrained IoT applications. The research
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mechanisms for 6G networks, with a particular focus on delay-sensitive and resource-constrained IoT applications. The research will examine the suitability of NIST-standardised post-quantum cryptographic (PQC
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, decision-making devices. Operating at the edge imposes strict constraints, including limited compute and memory resources, intermittent connectivity, strong privacy requirements, and tight energy budgets
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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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a robust modelling framework to simulate future changes in water resources in North and East England, using a combination of physically-based hydrological modelling tools and water system models
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addressing sustainable resource extraction for geothermal heating. The outcomes will support improved prediction, design, and performance assessment of geothermal systems, contributing to risk reduction and
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for resilient water resource management. The research will explore three core dimensions: transboundary water dynamics, institutional and policy effectiveness, and the impacts of climate variability on urban
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architectures that are impractical for scenarios constrained by limited data and resources for fine-tuning and deployment of large-scale models. What’s more, multimodal models are particularly vulnerable to data