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.



Triple loss for hard face detection
Fang Zhenyu, Ren Jinchang, Marshall Stephen, Zhao Huimin, Wang Zheng, Huang Kaizhu, Xiao Bing
Neurocomputing Vol 398, pp. 20-30 (2020)
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)
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)
MIMR-DGSA : unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm
Tschannerl Julius, Ren Jinchang, Yuen Peter, Sun Genyun, Zhao Huimin, Yang Zhijing, Wang Zheng, Marshall Stephen
Information Fusion Vol 51, pp. 189-200 (2019)
Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination
Tschannerl Julius, Ren Jinchang, Zhao Huimin, kao Fu-Jen, Marshall Stephen, Yuen Peter
Optics and Lasers in Engineering Vol 121, pp. 352-357 (2019)

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
Faculty Robotics and Automation Users Group Discussion
External Examiner at University of Bath
IET Image Processing (Journal)
Associate Editor
Hyperspectral Imaging 2016
23rd European Signal Processing Conference, 2015 (EUSIPCO 2015)

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
Multitask Deep Learning from Images for Clinical Decision Support
Ren, Jinchang (Principal Investigator) Marshall, Stephen (Co-investigator)
01-Jan-2018 - 30-Jan-2023
BBSRC Pathfinder: A new tool for bioimaging based on super-resolution Raman microscopy
Marshall, Stephen (Principal Investigator)
23-Jan-2018 - 22-Jan-2018
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
NNL Gamechanger (student Support)
Marshall, Stephen (Principal Investigator)
14-Jan-2018 - 31-Jan-2018
KTP - Innovent
Ren, Jinchang (Principal Investigator) Marshall, Stephen (Co-investigator)
08-Jan-2018 - 31-Jan-2021

More projects


Electronic and Electrical Engineering
Royal College Building

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