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at Imperial College London. Her research interests and expertise include the investigation of modifiable and non-modifiable factors associated with cognitive health in older age, the prediction and early
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different conditions of structures for condition monitoring and response prediction under various loading scenarios. Rapid structural evaluation can be conducted with the developed digital twin and identified
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays
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the evolution of learnt features from lower to higher layers in neural networks and how this progression facilitates final layer predictions using linear functions. • Examine why training of deep neural networks
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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements