Large-Area Detection of Improvised Explosive Devices by Portable Artificial Intelligence-Powered Electronic Noses

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This project aims to develop a miniaturised Electronic Nose for large-area detection of improvised explosive devices. This project expects to utilise an interdisciplinary approach of nanofabrication of a multi sensor array together with machine learning algorithms and advanced nanoscale characterisation approaches to optimise the sensing material design and sensing parameters. The intended outcome is an Electronic Nose device powered by artificial intelligence methodologies able to identify the presence of particle or vapours of common oxidisers used in improvised explosive devices. This should provide significant benefits to the security and defence sectors, paying particular attention to the safety of general public and military personal.