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the neurodevelopment of children born to mothers with epilepsy is monitored and related to epigenetic mechanisms of teratogenicity. The long-term goal is to enable early detection of teratogenic risk and contribute
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on the development of self-sensing fiber-reinforced cementitious composites (SS-FRCMs) for the dual purpose of structural strengthening and real-time health monitoring of infrastructure. The research is structured
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(£19,237 for 2024/25). The proposed project addresses significant health and safety concerns in the UK construction sector, where workers are more prone to suffer with emotional stress, mental tiredness, and
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Future Fellowship project “Innovative Data Driven Techniques for Structural Condition Monitoring
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in Building Technology spans over the areas of wood building technology, steel, concrete, and composite construction, building physics, historical structures, structural health monitoring, life cycle
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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(mobile app) intervention for the prevention and management of performance-related pain among musicians. The app will contain various components including self-monitoring, physical exercises, relaxation
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new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close