Dr Paul Murray

Senior Lecturer

Electronic and Electrical Engineering

Personal statement

I am a Lecturer at the University of Strathclyde working in the area of image processing. I work on a number of research an industrial projects where I apply my image processing skills 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, machine learning, image stitching, object detection and tracking, mathematical morphology and the hit-or-miss-transform.

In general, I am interesting in extending and creating new image processing techniques to adress real world and industrially relevant challenges. For example, the outcomes of my research conducted during my PhD have been used in various biological research labs in the UK and in the USA. More recently, upon completing an intensive two year research project, I delivered the oucomes of my research in the form of novel image stitching software to a leading energy company. 


Embedded product authentication codes in additive manufactured parts : imaging and image processing for improved scan ability
Chen Fei, Zabalza Jaime, Murray Paul, Marshall Stephen, Yu Jian, Gupta Nikhil
Additive Manufacturing (2020)
A new approach for crack detection and sizing in nuclear reactor cores
Devereux Michael G, Murray Paul, West Graeme M
Nuclear Engineering and Design Vol 359 (2020)
Low-cost hyper-spectral imaging system using a linear variable bandpass filter for agritech applications
Song Shigeng, Gibson Des, Ahmadzadeh Sam, On Chu Hin, Warden Barry, Overend Russell, Macfarlane Fraser, Murray Paul, Marshall Stephen, Aitkenhead Matt, Bienkowski Damian, Allison Russell
Applied Optics Vol 59, pp. A167-A175 (2020)
Varietal classification of rice seeds using RGB and hyperspectral images
Fabiyi Samson Damilola, Vu Hai, Tachtatzis Christos, Murray Paul, Harle David, Dao Trung Kien, Andonovic Ivan, Ren Jinchang, Marshall Stephen
IEEE Access Vol 8, pp. 22493-22505 (2020)
Characterization and evaluation of sparse array transducers for small particle detection
Li Xiaotong, Gachagan Anthony, Murray Paul
2019 IEEE International Ultrasonics Symposium (2019)
3-D visualization of AGR fuel channel bricks using Structure-from-Motion
Law Kristofer, West Graeme, Murray Paul, Lynch Chris
Nuclear Engineering and Design (2019)

more publications


I am teaching Digital Electronics and I also teach image processing as part a Vertically Integrated Project (VIP). VIP is a new initiative in teaching recently adopted at Strathclyde which allows teams of undergraduates to work on state-of-the-art research projects throughout their university career. I have also taught Masters level courses in Image and Video processing as well as looking after a Small Group Tutorial which provides additional academic and general support to first year students to help them adapt to university life.

Professional activities

Environmental Association of Universities and Colleges - Annual Conference 2019
Invited speaker

more professional activities


Image Processing for Enhanced Visual Inspection of Nuclear Waste Packages GC142 Phase 2
Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) Ren, Jinchang (Co-investigator) West, Graeme (Co-investigator) Zabalza, Jaime (Research Co-investigator)
01-Jan-2020 - 31-Jan-2020
STRAthclyde Diversity in Data LinkagE (STRADDLE) Doctoral Training Centre
Barry, Sarah (Co-investigator) Kavanagh, Kimberley (Co-investigator) Megiddo, Itamar (Co-investigator) Murray, Paul (Co-investigator) Rattray, Nicholas (Co-investigator)
The focus of the STRAthclyde Diversity in Data LinkagE (STRADDLE) DTC is to develop a centre of excellence in the linkage and analysis of data across disciplines. With an initial focus on health and healthcare delivery, STRADDLE will deliver linkage and innovative analysis of data from the molecular to population level, to achieve new insights and to maximize the value of health research data. There are 3 fully funded, 3.5 year PhD studentships are available to highly motivated UK and EU students. Successful applicants will be trained as the next generation of data scientists and develop skills and know how to deliver on the integration of diverse clinical data types – from molecules to man to populations.
01-Jan-2019 - 31-Jan-2023
University of Strathclyde Interdisciplinary Centre for Doctoral Training in Antimicrobial Resistance (AMR)
Corrigan, Damion (Co-investigator) Duncan, Katherine (Co-investigator) McCormick, Christopher (Co-investigator) Murray, Paul (Co-investigator) Dunphy, Raymond David (Post Grad Student) Riordan, Lily (Post Grad Student) Lasserre, Perrine (Post Grad Student)
01-Jan-2019 - 31-Jan-2023
ANRC -04 Advanced Image Processing Techniques for In-core Inspections
West, Graeme (Principal Investigator) Murray, Paul (Co-investigator)
01-Jan-2018 - 31-Jan-2021
Automated Video Analysis for Accurate Wave Height Measurements in Offshore Wind Farms
McMillan, David (Co-investigator) Murray, Paul (Principal Investigator)
01-Jan-2018 - 01-Jan-2019
CMSIN-II (CEOI Resubmission) Compact Multi-Spectral Imager for Nanosatellites II
Oi, Daniel (Principal Investigator) Griffin, Paul (Co-investigator) Jeffers, John (Co-investigator) Macdonald, Malcolm (Co-investigator) Marshall, Stephen (Co-investigator) Murray, Paul (Co-investigator) Lowe, Christopher (Research Co-investigator)
23-Jan-2018 - 31-Jan-2020

more projects


Electronic and Electrical Engineering
Royal College Building

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