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extraction? What would be the best choice of solvent? What is the optimal route to recycle the water in the fermentation broth? Answering these questions requires us to develop new design algorithms. It is
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, including teeth grinding and normal everyday movements, ensuring the accuracy and reliability of the collected data. Developing, training, and validating state-of-the-art machine learning algorithms
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approaches that are able to characterise multiple organs at the same time, as well as the interactions between them. We have developed initial versions of such models and deployed them in small scale studies
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the
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usage. This requires the developed algorithm retain the knowledge learned in the past and use it to help future learning and problem solving. Therefore, the key to success for analysing long-term farming
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across