Dr Paul Murray

Reader

Electronic and Electrical Engineering

Personal statement

I am a Reader at the University of Strathclyde working in the area of signal, image, video and hyperspectral data processing. I work on a number of research and industrial projects where I apply my expertise to address a wide range of challenges in many application areas. My activities range from analysing microscopic biological images to processing images captured during visual inspection of nuclear power plants.

My research interests can be summarised as: signal and image processing, hyperspectral imaging, video processing, artificial intelligence, machine learning, deep learning, image stitching, object detection and tracking and mathematical morphology.

In general, I am interested in extending and creating new image processing techniques to address real-world and industrially relevant challenges. For example, the outcomes of my research conducted during my PhD have been used in various research labs in the UK and in the USA. More recently, I have delivered the outcomes of my research in the form of novel software tools for a range of industrial end-users. I am currently the Strathclyde PI working in collaboration with the project PI at Lancaster on EP/V051059/1. This is an EPSRC funded project researching Autonomous Inspection for Responsive and Sustainable Nuclear Fuel Manufacture (AIRS-NFM). I also have a significant portfolio of industrially funded research.

Expertise

Has expertise in:

Signal Processing
Image Processing
Video Processing
Hyperspectral Imaging
Artificial Intelligence
Machine Learning
Deep Learning
Image Stitching
Mathematical Morphology

Prizes and awards

Best Student Paper Award: Recipient; 29/5/2018
IEEE Brain Data Bank Challenges and Competitions: Recipient; 31/10/2017
Best Student Paper Award: Recipient; 2/2015

More prizes and awards

Publications

A novel data augmentation method for improved visual crack detection using generative adversarial networks: Branikas Efstathios, Murray Paul, West Graeme; IEEE Access Vol 11, pp. 22051-22059 (2023); https://doi.org/10.1109/ACCESS.2023.3251988
Intelligent characterisation of space objects with hyperspectral imaging: Vasile Massimiliano, Walker Lewis, Dunphy R David, Zabalza Jaime, Murray Paul, Marshall Stephen, Savitski Vasili; Acta Astronautica Vol 203, pp. 510-534 (2023); https://doi.org/10.1016/j.actaastro.2022.11.039
Hyperspectral imaging through partially transparent media: Campbell Andrew, Zabalza Jaime, Murray Paul, Marshall Stephen, Malone Simon; Hyperspectral Imaging and Applications II SPIE Photonex (2023); https://doi.org/10.1117/12.2653629
Hyperspectral imaging analysis of corrosion products on metals in the UV range: Keane Aoife, Murray Paul, Zabalza Jaime, Di Buono Antonio, Cockbain Neil, Bernard Robert; Hyperspectral Imaging and Applications II SPIE Photonex (2023); https://doi.org/10.1117/12.2647429
Hyperspectral imaging based detection of PVC during Sellafield repackaging procedures: Zabalza J, Murray P, Marshall S, Ren J, Bernard R, Hepworth S; IEEE Sensors Journal (2022); https://doi.org/10.1109/jsen.2022.3221680
Passive, non-destructive enrichment measurement of sintered UO2 fuel pellets: Parker AJ, Zabalza Jaime, Bandala M, Ma X, Taylor CJ, Murray Paul, Marshall Stephen, Joyce M; IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector (RTSD) (2022)

More publications

Teaching

I currently teach two classes:

1) Image and Video Processing (5th year and Masters Level)

2) Digital Electronics (2nd Year)

I am also Year advisor for 4th and 5th year students on our Computer and Electronics Systems (CES) Degree.

Professional activities

Automated detection of crack features in nuclear superheaters using deep learning with automatically labelled datasets: Contributor; 30/11/2021
AUTOMATED GENERATION OF TRAINING DATASET FOR CRACK DETECTION IN NUCLEAR POWER PLANT COMPONENTS: Contributor; 16/6/2021
Automated tracking of mitochondrial motility using image processing and epifluorescence microscopy: Contributor; 25/11/2020
Environmental Association of Universities and Colleges - Annual Conference 2019: Invited speaker; 19/5/2019

More professional activities

Projects

New Deep Learning Approaches for Image and Video Processing | Byrne, Luke: Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) Byrne, Luke (Research Co-investigator); 01-Jan-2022 - 01-Jan-2026
DTP 2224 University of Strathclyde | Byrne, Luke: Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) Byrne, Luke (Research Co-investigator); 01-Jan-2022 - 01-Jan-2026
Hyperspectral Classification of Space Objects: Vasile, Massimiliano (Principal Investigator) Marshall, Stephen (Co-investigator) Murray, Paul (Co-investigator); 01-Jan-2022 - 31-Jan-2023
Hyperspectral Imager for Space Surveillance and Tracking (NSTP): Vasile, Massimiliano (Principal Investigator) Marshall, Stephen (Co-investigator) Murray, Paul (Co-investigator); 08-Jan-2021 - 31-Jan-2022
NNL Gamechangers GC_142 Phase 5 (Linked to 191761) Image Processing for Enhanced Visualisation: Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) West, Graeme (Co-investigator) Zabalza, Jaime (Co-investigator); 18-Jan-2021 - 31-Jan-2022
panPIERS: artificial intelligence-informed time-of-disease risk assessment for women with pre-eclampsia: Kavanagh, Kimberley (Principal Investigator) Murray, Paul (Co-investigator); 01-Jan-2021 - 31-Jan-2023

More projects

Address

Electronic and Electrical Engineering
Royal College

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