Raymond David Dunphy

Raymond David Dunphy is a Research Assistant at the University of Strathclyde's Centre for Signal and Image Processing. He is completing his PhD on hyperspectral imaging for microbiological applications while contributing to interdisciplinary projects in nuclear and space industries. His work bridges machine learning with advanced imaging techniques.

• MEng in Computer and Electronic Systems (University of Strathclyde)
• PhD candidate in Hyperspectral Imaging (ongoing)

His research focuses on developing machine learning tools for hyperspectral data analysis, with applications spanning nuclear fuel manufacturing, microbiology, and aerospace. Key projects include optimizing uranium hexafluoride conversion and enhancing quality assurance in UO₂ nuclear fuel pellet production.

Current collaborations include industry partnerships with Terumo Aortic Limited and participation in the Interdisciplinary Centre for Doctoral Training in Antimicrobial Resistance (AMR). He actively contributes to UN Sustainable Development Goals through nuclear energy efficiency innovations.