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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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businesses and their operations. There is therefore a growing need for rapid analytical methods for the determination of PFAS, not least because UK testing capacity is limited, slow and expensive. Fundamental
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-supervised by Dr John Low in the Energy Innovation Centre in the Warwick Manufacturing Group (WMG), and Prof. Richard Walton in the Department of Chemistry (Materials and Analytical Science) in collaboration
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sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.Position 3
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focus on developing a dashboard solution to visualise raw sensor data and transformed/congregated data through AI and other data analytics methods. This will also involve integrating multiple data sources
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application, polygraph data capture and analysis has received limited systematic research and does not yet incorporate modern sensors, computing and analytical techniques. Project: This project aims to explore
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This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
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This project aims to advance chemometrics, artificial intelligence (AI), and data analytics techniques for characterisation of materials in decommissioning nuclear sites to enhance detection
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candidates for challenging targets. The project addresses several analytical challenges associated with cyclic peptides, including fragmentation complexity, lack of distinct termini, multiple fragmentation
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, explores opportunities to design a high-performance RISC-V-based platform to support analytics and AI applications. Part of this research, aspects of cybersecurity for data collection and processing would