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conditions. However, these changes are more often reported under quasi-static loads. The use of imaging is quite effective to determine the changes in elastic and thermal properties of materials; but still
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supply chain resilience. Following a PhD‑by‑papers route, the research aims to deliver three high‑quality scholarly outputs and develop insights to enhance supply chain management practise. This project
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, operability and performance. This applies to podded as well as embedded propulsion systems. The standard approach to measure intake flow distortion is to use a relatively small number of total pressure probes
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
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cost-effectiveness of forever chemicals removal from water. The model will use experimental data gathered during the project through testing. The successful candidate will work closely with the project
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zone in a very complex manner and lead the modelling to an imperfect zone of assumptions. These complexities allow the researchers to use approximations for useful lifetime calculations. Based
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industries located in Kuwait. The framework will connect productivity, cost, equipment workability, and product quality. The utilization of near real time equipment inspections and its impact on production
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling