Projects per year
Personal profile
Personal Statement
David is a Research Assistant at the Centre for Signal and Image Processing, and is in the final stages of his PhD on hyperspectral imaging for microbiological applications. He has an MEng in Computer and Electronic Systems from the University of Strathclyde. His interests lie in developing machine learning tools for hyperspectral data analysis, and his research spans a range of hyperspectral applications, including in the space and nuclear industries.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- hyperspectral imaging
- image processing
- machine learning
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Collaborations and top research areas from the last five years
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Analysis of stent materials using hyerspectral imaging
Murray, P. (Principal Investigator), Dunphy, R. D. (Co-investigator) & Hamilton, A. (Co-investigator)
1/02/24 → 25/03/25
Project: Knowledge Exchange (Services/Consultancy)
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University of Strathclyde Interdisciplinary Centre for Doctoral Training in Antimicrobial Resistance (AMR)
Corrigan, D. (Co-investigator), Duncan, K. (Co-investigator), McCormick, C. (Co-investigator), Murray, P. (Co-investigator), Dunphy, R. D. (Post Grad Student), Riordan, L. (Post Grad Student) & Lasserre, P. (Post Grad Student)
1/10/19 → 31/03/23
Project: Research - Studentship
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Hyperspectral imaging suggests potential for rapid quantification of fission products in spent nuclear fuel
Dunphy, R. D., Parker, A. J., Bandala, M., Bennet, S., Boxall, C., Chard, P., Cockbain, N., Eaves, D., Goddard, D., Ma, X., Taylor, C. J., Wilbraham, R., Zabalza, J., Murray, P. & Joyce, M. J., 13 Feb 2025, In: Scientific Reports. 15, 1, 5434.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A prototype multi-instrument quality assurance system for responsive nuclear fuel manufacturing
Parker, A., Bandala, M., Chard, P., Cockbain, N., Dunphy, D., Eaves, D., Hutchinson, D., Ma, X., Marshall, S., Murray, P., Stirzaker, P., Taylor, J., Zabalza, J. & Joyce, M., 25 Sept 2024, 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). Piscataway, NJ: IEEE, 2 p. (IEEE Symposium on Nuclear Science (NSS/MIC)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book