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boundary treatments. Integrating the surrogate models into a digital‑twin pipeline for real‑time data ingestion, assimilation, and visualisation. The project will deliver a real‑time digital‑twin
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of inversion or data-assimilation approaches that exploit the totality of data from both measurement and modelling. Third, the project will quantify uncertainty arising from flow variability, measurement noise
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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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this project, UAVs will be significantly improved for monitoring, by design enhancement and assimilation of edge solutions in order to deliver the next generation of inspection and maintenance. A novel Twin