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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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surveillance) sensors can also be seen as temporal events. While data from current sensors can be manually converted into events for fast processing, it is also possible to develop hybrid structures where some
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crystal and powder X-ray diffraction to assemble and structurally characterise new, highly symmetric molecular magnets, working with collaborators to develop magneto-structural correlations to discover and
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: Ultra-fast-laser-welding of optical laser components to structural components (ps- and fs-pulsed lasers) Test methods of evaluating optical and mechanical parts subjected to thermal and environmental test
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advanced laser-based manufacturing. The project is split into three areas: 1. Optical, mechanical, and thermal design of a compact and robust laser, exploiting the existing capabilities of additive