Mohammed Bennamoun

Winthrop Professor, Ing Ecole Poly. d'Alger, MSc Qu., PhD Qu. & Qld UT

  • The University of Western Australia (M002), 35 Stirling Highway,

    6009 Crawley


  • 4873 Citations
  • 34 h-Index
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Personal profile


Mohammed Bennamoun received his M.Sc. from Queen's University, Kingston, Canada in the area of Control Theory, and his PhD from Queen's /Q.U.T in Brisbane, Australia in the area of Computer Vision. He lectured Robotics at Queen's, and then joined QUT in 1993 as an Associate Lecturer. He then became a Lecturer in 1996 and a Senior Lecturer in 1998 at QUT. He was also the Director of a research Centre from 1998-2002. In Jan. 2003, he joined the Department of Computer Science and Software Engineering at The University of Western Australia (UWA) as an Associate Professor and was promoted to Professor in 2007. He is currently a Winthrop Professor. He served as the Head of the School of Computer Science and Software Engineering at UWA for five years (February 2007-March 2012). He was an Erasmus Mundus Scholar and Visiting Professor in 2006 at the University of Edinburgh. He was also Visiting Professor at CNRS (Centre National de la Recherche Scientifique) and Telecom Lille1, France in 2009, the Helsinki University of Technology in 2006, and the University of Bourgogne and Paris 13 in France in 2002-2003. He is the co-author of the book ``Object Recognition: Fundamentals and Case Studies'', Springer-Verlag, 2001. He won the “Best Supervisor of the Year” Award at QUT. He also received an award for research supervision at UWA in 2008. He published over 120 journal and conference publications. He served as a guest editor for a couple of special issues in International journals, such as the International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). He was selected to give conference tutorials at the European Conference on Computer Vision (ECCV) and the International Conference on Acoustics Speech and Signal Processing (IEEE ICASSP). He organized several special sessions for conferences; including a special session for the IEEE International Conference in Image Processing (IEEE ICIP). He was on the program committee of many conferences e.g. 3D Digital Imaging and Modeling (3DIM) and the International Conference on Computer Vision. He also contributed in the organisation of many local and international conferences. His areas of interest include control theory, robotics, obstacle avoidance, object recognition, artificial neural networks, signal/image processing and computer vision (particularly 3D).


Computer Vision (particularly 3D), 3D biometrics, 3D object Recognition, Signal/Image Processing, Robotics


Fluent in Arabic
English and French


  • Machine learning / deep learning
  • 3D biometrics
  • 3D reconstruction/recognition
  • Artificial neural networks/deep learning
  • Computer vision
  • Control theory
  • Forensic image processing
  • Pattern recognition
  • Robotics
  • Signal/image processing
  • Virtual reality and immersive environments

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Projects 2003 2019

Research Output 2001 2018

A Fractional Gradient Descent-Based RBF Neural Network

Khan, S., Naseem, I., Malik, M. A., Togneri, R. & Bennamoun, M., 19 May 2018, In : Circuits, Systems and Signal Processing. p. 1-22

Research output: Contribution to journalArticle

RBF Neural Network
Gradient Descent
Radial Basis Function Neural Network
Neural networks

A Guide to Convolutional Neural Networks for Computer Vision

Khan, S., Rahmani, H., Shah, S. A. A. & Bennamoun, M., 2018, Morgan & Claypool Publishers. 207 p. (Synthesis Lectures on Computer Vision; vol. 8, no. 1)

Research output: Book/ReportBook

Computer vision
Neural networks
Image classification
Sports medicine
Network layers
Neural networks
Image classification

An Improved Colour-to-Grey Method Using Image Segmentation and the Colour Difference Model for Colour Vision Deficiency

Zhang, L., Xu, Q., Zhu, G., Song, J., Zhang, X., Shen, P., Wei, W., Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : IET Image Processing. 12, 3, p. 314 – 319 6 p.

Research output: Contribution to journalArticle

Color vision
Image segmentation

Deep Image Representations for Coral Image Classification

Mahmood, A., Bennamoun, M., An, S., Sohel, F. A., Boussaid, F., Hovey, R., Kendrick, G. A. & Fisher, R. B., 12 Jan 2018, In : IEEE Journal of Oceanic Engineering.

Research output: Contribution to journalArticle

Image classification
Autonomous underwater vehicles
Remotely operated vehicles
Aquatic ecosystems