Professor Stephen Marshall

Electronic and Electrical Engineering

Personal statement

I am a Professor in the Department of Electronic and Electrical Engineering where I am also Director of the Hyperspectral Imaging (HSI) Centre. The Centre carries out pure and applied research into all aspects of HSI and currently has 11 staff and researchers.

I am also the University's academic lead for the Verically Integrated Project (VIP) Program which brings together students, researchers and staff from across disciplines and academic years to tackle challenging problems.



Robust object detection in colour images using a multivariate percentage occupancy hit-or-miss transform
Macfarlane Fraser, Murray Paul, Marshall Stephen, Perret Benjamin, Evans Adrian, White Henry
Mathematical Morphology - Theory and Applications Vol 5, pp. 128-152 (2021)
Vertically integrated projects for sustainable development – achieving transformational action by embedding research-based ESD in undergraduate curricula
Strachan Scott, Marshall Stephen, Logan Louise
Environmental Sciences Proceedings (2021)
Compressive sampling using a pushframe camera
Bennett Stuart, Noblet Yoann, Griffin Paul F, Murray Paul, Marshall Stephen, Jeffers John, Oi Daniel
IEEE Transactions on Computational Imaging Vol 7, pp. 1069-1079 (2021)
Compressive sampling using a pushframe camera
Bennett Stuart, Noblet Yoann, Griffin Paul, Murray Paul, Marshall Stephen, Jeffers John, Oi Daniel K L
Imaging and Applied Optics Congress (2021)
A framework for breast cancer classification using Multi-DCNNs
Ragab Dina A, Attallah Omneya, Sharkas Maha, Ren Jinchang, Marshall Stephen
Computers in Biology and Medicine Vol 131 (2021)
Investigating the effects of a combined spatial and spectral dimensionality reduction approach for aerial hyperspectral target detection applications
Macfarlane Fraser, Murray Paul, Marshall Stephen, White Henry
Remote Sensing Vol 13 (2021)

More publications


I currently teach EE581/981 Video and Image Processing to level 5 and Masters students. I have previously taught electronic design, CAD and Computer Vision.

Research interests

  • Digital image processing and computer vision,
  • Hyperspectral Imaging,
  • non-linear image processing,
  • mathematical morphology,
  • digital image coding,
  • medical image processing,
  • genomic signal processing,
  • genetic algorithms and FPGAs.

Professional activities

University of Dubai
Visiting researcher
University of St Andrews
Visiting researcher
Faculty Robotics and Automation Users Group Discussion
External Examiner at University of Bath
IET Image Processing (Journal)
Associate Editor
Hyperspectral Imaging 2016

More professional activities


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
An smart robotic system for SmartFarm (ISCF)
Yan, Xiu (Principal Investigator) Marshall, Stephen (Co-investigator) Marshall, Stephen (Co-investigator) Ren, Jinchang (Co-investigator)
01-Jan-2021 - 01-Jan-2023
Doctoral Training Partnership 2020-2021 University of Strathclyde | Benedetti, Luke
Papadopoulos, Panagiotis (Principal Investigator) Egea Alvarez, Agusti (Co-investigator) Marshall, Stephen (Co-investigator) Benedetti, Luke (Research Co-investigator)
01-Jan-2020 - 01-Jan-2024
Band selection and data classification in hyperspectral imaging | Ulrichsen, Alexander
Murray, Paul (Principal Investigator) Ren, Jinchang (Principal Investigator) Marshall, Stephen (Co-investigator) Ulrichsen, Alexander (Research Co-investigator)
01-Jan-2020 - 01-Jan-2024
EngD Fraunhofer Contribution Intelligent and directed laser-based spectroscopy (HW CDT)
Marshall, Stephen (Principal Investigator) Murray, Paul (Co-investigator)
01-Jan-2020 - 31-Jan-2024
Multi-modality image registration (EngD Beatson HW CDT in Applied Photonics)
Marshall, Stephen (Principal Investigator) Ren, Jinchang (Co-investigator)
01-Jan-2020 - 31-Jan-2024

More projects


Electronic and Electrical Engineering
Royal College Building

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