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networks continuously generate sensitive data. You will investigate adaptive learning frameworks – such as multi-agent or multi-task approaches – that ensure robustness, explainability, and trust across
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particle simulation methods, validated by experiments, to develop a scaling method to predict continuous blending performance based on lab scale mixing performance, process parameters and physiochemical
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offers a non-intrusive, low-cost, and privacy-preserving solution. The research will involve designing and testing experimental setups, collecting vibration data from simulated falls and everyday impacts
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. Our preliminary work has shown that such an adapter can enable a consistent dose to be extruded and spread onto simulated paediatric lesions, where one FTU now covers an area of just two fingers. We
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from the Newcastle Urban Observatory, public transport ridership data, questionnaires and travel surveys, and the DARe MATSim agent-based modelling suite, this PhD will seek to gain a deeper
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weather-related extremes, much of it by our team, however we must also consider their cyber risks. Network modelling will be used to simulate a range of different cyber and natural hazards threats