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.
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
Publications
- Using phased array ultrasound to localize probes during the inspection of welds
- Gilmour Adam, Ulrichsen Alexander, Jackson William, Tabatabaeipour Morteza, Dobie Gordon, MacLeod Charles N, Murray Paul, Karkera Benjamin
- IEEE Open Journal of Instrumentation and Control Vol 2 (2023)
- https://doi.org/10.1109/OJIM.2023.3327484
- Operational neural networks for parameter-efficient hyperspectral single-image super-resolution
- Ulrichsen Alexander, Murray Paul, Marshall Stephen, Gabbouj Moncef, Kiranyaz Serkan, Yamaç Mehmet, Aburaed Nour
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023)
- A hyperspectral super-resolution dataset for the validation of super-resolution methods
- De Kerf Thomas, Ulrichsen Alexander, Scheunders Paul, Murray Paul, Vanlanduit S
- IEEE Whispers 2023 (2023)
- Deep learning enhanced Watershed for microstructural analysis using a boundary class semantic segmentation
- Fotos G, Campbell A, Murray P, Yakushina E
- Journal of Materials Science Vol 58, pp. 14390-14410 (2023)
- https://doi.org/10.1007/s10853-023-08901-w
- Hyperspectral imaging based corrosion detection in nuclear packages
- Zabalza Jaime, Murray Paul, Bennett Stuart, Campbell Andrew, Marshall Stephen, Ren Jinchang, Yan Yijun, Bernard Robert, Hepworth Steve, Malone Simon, Cockbain Neil, Offin Douglas, Holliday Craig
- IEEE Sensors Journal, pp. 1-11 (2023)
- https://doi.org/10.1109/jsen.2023.3312938
- PVC detection in Sellafield repackaging procedures via hyperspectral imaging
- Zabalza Jaime, Murray Paul, Marshall Stephen, Ren Jinchang, Bernard Robert, Hepworth Steve
- 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies, pp. 254-261 (2023)
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
- 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
Projects
- Nuclear Fuel-debris Characterisation via Multimodal Spectroscopy and Analytics (NuFAMSA)
- Murray, Paul (Principal Investigator) Zabalza, Jaime (Co-investigator)
- 01-Jan-2023 - 31-Jan-2026
- HSI for Granular Material Ph2 GC_267 Gamechanger
- Murray, Paul (Principal Investigator) Campbell, Andrew John (Co-investigator) Marshall, Stephen (Co-investigator) Zabalza, Jaime (Co-investigator)
- 24-Jan-2023 - 23-Jan-2023
- 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
- 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
Contact
Dr
Paul
Murray
Reader
Electronic and Electrical Engineering
Email: paul.murray@strath.ac.uk
Tel: 548 2527