Dr Paul Murray

Reader

Electronic and Electrical Engineering

Contact

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. 

 

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Area of Expertise

 

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

 

Prize 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

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Publications

Digital twin challenges and opportunities for nuclear fuel manufacturing applications
Bandala Manuel, Chard Patrick, Cockbain Neil, Dunphy David, Eaves David, Hutchinson Daniel, Lee Darren, Ma Xiandong, Marshall Stephen, Murray Paul, Parker Andrew, Stirzaker Paul, Taylor C James, Zabalza Jaime, Joyce Malcolm J
Nuclear Engineering and Design Vol 420 (2024)
https://doi.org/10.1016/j.nucengdes.2024.113013
Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model) : a modelling study
Csoban Tunde, Kavanagh Kimberley, Murray Paul, Robertson Chris, Barry Sarah JE, Ukah U Vivian, Payne Beth A, Nicolaides Kypros H, Syngelaki Argyro, Ionescu Olivia, Akolekar Ranjit, Hutcheon Jennifer A, Magee Laura A, von Dadelszen Peter
The Lancet Digital Health Vol 6, pp. E238-E250 (2024)
https://doi.org/10.1016/S2589-7500(23)00267-4
Enhanced video-level anomaly feature detection for nuclear power plant component inspections using the latency mechanism
Fei Zhouxiang, Manning Callum, West Graeme, Murray Paul, Dobie Gordon
Nuclear Technology (2024)
https://doi.org/10.1080/00295450.2024.2337282
A new hybridized dimensionality reduction approach using genetic algorithm and folded linear discriminant analysis applied to hyperspectral imaging for effective rice seed classification
Fabiyi Samson Damilola, Murray Paul, Zabalza Jaime, Tachtatzis Christos, Vu Hai, Dao Trung Kien
IEEE Transactions on AgriFood Electronics Vol 2, pp. 151-164 (2024)
https://doi.org/10.1109/TAFE.2024.3374753
CNN-based automated approach to crack-feature detection in steam cycle components
Fei Zhouxiang, West Graeme M, Murray Paul, Dobie Gordon
International Journal of Pressure Vessels and Piping Vol 207 (2024)
https://doi.org/10.1016/j.ijpvp.2023.105112
Enrichment measurement by passive γ-ray spectrometry of uranium dioxide fuel pellets using a europium-doped, strontium iodide scintillator
Parker Andrew J, Bandala Manuel, Croft Stephen, Crouch Laurie, Dunphy R David, Hutchinson Daniel, Logsdon Roy, Ma Xiandong, Marshall Stephen, Murray Paul, Sarfraz Ali, Stirzaker P, Taylor C James, Zabalza Jaime, Joyce Malcolm J
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment Vol 1062 (2024)
https://doi.org/10.1016/j.nima.2024.169191

More publications

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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.

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Professional Activities

Enhanced Video-Level Anomaly Feature Detection for Nuclear Power Plant Component Inspections Using the Latency Mechanism
Contributor
17/7/2023
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

AI for Space Operations, Safety and Sustainability (A14S3)
Vasile, Massimiliano (Principal Investigator) Clemente, Carmine (Co-investigator) Feng, Jinglang (Co-investigator) Maddock, Christie (Co-investigator) Marshall, Stephen (Co-investigator) Murray, Paul (Co-investigator) Riccardi, Annalisa (Co-investigator)
01-Jan-2024 - 31-Jan-2025
Dementia Biomarker Detection
Murray, Paul (Principal Investigator) Zabalza, Jaime (Co-investigator)
01-Jan-2024 - 31-Jan-2025
A Spectroscopy Suite for Direct Low Waste Measurement for All States of Matter
Campbell, Andrew John (Principal Investigator) Burns, Iain (Co-investigator) Lengden, Michael (Co-investigator) Murray, Paul (Co-investigator)
01-Jan-2024 - 31-Jan-2024
NuSec HSI small grant
Zabalza, Jaime (Principal Investigator) Murray, Paul (Co-investigator)
01-Jan-2023 - 29-Jan-2024
Optioneering and scoping activity for improved, automated, Special Nuclear Materials (SNM) Inspection
Murray, Paul (Principal Investigator)
01-Jan-2023 - 31-Jan-2024
Nuclear Fuel-debris Characterisation via Multimodal Spectroscopy and Analytics (NuFAMSA)
Murray, Paul (Principal Investigator) Zabalza, Jaime (Co-investigator)
01-Jan-2023 - 31-Jan-2026

More projects

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Contact

Dr Paul Murray
Reader
Electronic and Electrical Engineering

Email: paul.murray@strath.ac.uk
Tel: 548 2527