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Early integration of sensors for efficient SHM of aerostructure during their service. Using a mix of reactive machines and limited memory this project develops new fuzzy logic based artificial
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and rapid sensors for rapid and on-site wastewater surveillance. We are offering two fully funded national PhD studentship covering tuition fees, competitive stipend, research and consumables, and
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economy and de-centralised manufacturing. To enhance process efficiency (clean) by researching sensors and big data for factory management, product service systems, factory modelling and artificial
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developed new methods of through thickness reinforcement using tufting of metallic elements to improve electrical and mechanical functionalities, new metal wire-based sensors in carbon composites and ways
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, connectivity, digital data acquisition (such as sensors), and various forms of data extraction, processing, and simulation. Thales UK will serve as the industry sponsor for this project, providing valuable
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systems approach, spanning sensor and measurement technology, systems modelling, environmental informatics, data and decision science. The Centre covers research on air quality and climate change, soil