Professor Graeme West
Electronic and Electrical Engineering
Personal statement
I am a Professor in the Department of Electronic and Electrical Engineering, having been appointed through the Chancellor's Fellowship scheme. My research interests lie in the area of intelligent decision support, primarily for applications in the Energy Industry, and with a particular focus on through lifetime management of nuclear power generation assets. This covers a broad range of disciplines ranging from artificial intelligence, machine learning, & data analytics through to image and video processing. Application areas include inspection, condition monitoring, diagnostics and prognostics of plant items, both from individual asset and fleet wide perspectives. I am an academic lead in the University’s Advanced Nuclear Research Centre (ANRC).
My current projects at the University include improving understanding of the graphite reactor cores of Advanced Gas-cooled Reactors (AGR) through analysis of refuelling data (EDF Energy), Automated sizing and classification of defects in CANDU reactor pressure tubes (Bruce Power), improved visual inspection of AGR fuel channel bricks (EDF Energy) and visual inspection of steel pipe work in the nuclear industry (NNL, Sellafield, WideBlue, Inspecta-hire).
I am also seconded part time to the Alan Turing Institute, where I lead the Critical Infrastructure Theme in the Data Centric Engineering Programme
Publications
- Enhanced heuristics and optimisation for automated fuel channel selection in CANDU reactors
- Devereux Michael, West Graeme, Young Andrew, Revie Matthew, Barlow Euan, Anderson Claude
- Seventh Annual Conference on Disruptive, Innovative, and Emerging Technologies in the Nuclear Industry (2026)
- Knowledge-driven explainable AI for automated defect detection in nuclear reactor components
- Young Andrew, Manning Callum Paul, Zabalza Jaime, West Graeme, Murray Paul, McArthur Stephen
- Nuclear Technology (2026)
- https://doi.org/10.1080/00295450.2026.2721224
- An ontology design pattern for the capture and reuse of engineering knowledge in nuclear prognostics
- Manning Callum Paul, Young Andrew, West Graeme, McArthur Stephen
- Seventh Annual Conference on Disruptive, Innovative, and Emerging Technologies in the Nuclear Industry (2026)
- A standalone OCR system for enhancing alarm annunciation on main control room displays
- Young Andrew, Zabalza Jaime, West Graeme, Rauket Alex
- Seventh Annual Conference on Disruptive, Innovative, and Emerging Technologies in the Nuclear Industry (2026)
- A proposed framework for ambiguous, conflicting and contradicting clause detection in construction regulations
- Balakrishnan Govardhini, Kumar Bimal, Robinson Melanie, West Graeme
- Proceedings of the TUM GNI International Symposium 2026 TUM GNI International Symposium 2026 (2026)
- Machine learning and knowledge-driven approaches for automated Calandria Tubesheet Bore Inspection in CANDU reactors
- Young Andrew, Manning Callum Paul, Zabalza Jaime, West Graeme, Murray Paul, McArthur Stephen, Kennedy Chris, Barpugga Harpreet
- Sixth Annual Conference on Disruptive, Innovative, and Emerging Technologies in the Nuclear Industry: DIET 2025 (2025)
Teaching
I am module registrar for EM501: Fifth Year Group Projects for the MEng Electrical and Mechanical Engineering Students.
I am module registrar for the 3rd Year EM310: Signal and Systems course which covers the concepts and analysis of signals in both the time and frequency domains in the context of both analogue and discrete (digital) domains, both in terms of mathematical analysis and practical systems.
Research Interests
My research interests are in the design and application of artificial intelligence techniques to support the management of key engineering assets in a number of industries. I have a particular focus in nuclear power generation applications and my research supports EDF Energy, who run and maintain the UK's Civil nuclear power stations, in analysing data that comes from their graphite reactor cores.
Professional Activities
- Strategic Themes: Applied AI Workshop
- Participant
- 17/1/2025
- Joint CA/UK/US Workshop - Exploring Research Collaboration on Sustainability of Nuclear Power Plants
- Participant
- 21/5/2024
- AI UK 2024
- Participant
- 19/3/2024
- Industrial AI – the application of AI and Data Science to Support Outages
- Speaker
- 17/1/2024
- US-UK Workshop on Transformation in Urban Underground Infrastructure
- Participant
- 28/9/2023
- Generative AI for Engineering
- Speaker
- 19/9/2023
Projects
- EPSRC Centre for Doctoral Training in Nuclear Energy- SATURN (Skills And Training Underpinning a Renaissance in Nuclear) | Pathak, Jagriti
- West, Graeme (Principal Investigator) McArthur, Stephen (Co-investigator) Pathak, Jagriti (Research Co-investigator)
- 01-Jan-2024 - 01-Jan-2028
- ANRC_C_BC&BP_65_b Nuclear Analytics support (Studentship Contribution only) (CPM 19744)
- West, Graeme (Principal Investigator)
- 01-Jan-2024 - 30-Jan-2027
- EPSRC Centre for Doctoral Training in Industry-Inspired Photonic Imaging, Sensing and Analysis | Calder, Brandon
- Murray, Paul (Principal Investigator) West, Graeme (Co-investigator) Calder, Brandon (Research Co-investigator)
- 11-Jan-2023 - 11-Jan-2027
- Turing Network Development Call
- McArthur, Stephen (Principal Investigator) West, Graeme (Co-investigator)
- 01-Jan-2022 - 30-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
- KTP - ICR Integrity
- West, Graeme (Principal Investigator) McArthur, Stephen (Co-investigator)
- 27-Jan-2020 - 26-Jan-2022
Contact
Professor
Graeme
West
Electronic and Electrical Engineering
Email: graeme.west@strath.ac.uk
Tel: 548 3542