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Field
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coupled computational framework capable of predicting crack initiation, propagation, and component failure under realistic operating conditions. Key Objectives: - Develop a finite element-based chemo-thermo
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findings in peer-reviewed publications and at scientific conferences. Project aims and objectives This doctoral project proposes a 3-year investigation into the bidirectional influence of training and match
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
that not only simulate, but also reason, adapt, and provide explainable insights across safety-critical environments. Key research objectives include: Extract structured engineering knowledge from
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will be randomised to receive either standard of care (which includes a patient information sheet) or standard of care plus a nurse-led phone contact. Objectives: 1) To determine patients’ perspective on
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into car cabins (to reduce the exposure of occupants) and the regions where pollutants accumulate (to be avoided by pedestrians and cyclists) need to be minimised. The PhD objective is to study the effects
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of the proposed replacement approaches will form an integral part of the proposed multi-objective optimisation approach. Such a methodology should help asset managers and system operators to make practical
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to focus on the relationship between geometry and quantum theory. A key objective will be the conceptual and mathematical understanding of the original Penrose spin network, with a view toward foundational
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to focus on the emerging framework of quantum reference frames and the generalization of its core concepts to special relativity, gravity, and quantum field theory. A key objective will be the formulation
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novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
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the integration of research findings into the broader Sliding Lands project. Key research objectives include: Building a time-series data cube of landsliding across New Zealand using satellite imagery archives