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 Perth


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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 author of four books (available on Amazon), including: ``Object Recognition: Fundamentals and Case Studies'', Springer-Verlag, 2001, `A Guide to Convolutional Neural Networks for Computer Vision', `3D Shape Analysis: Fundamentals, Theory, and Applications', and Neural Representations of Natural Language'.

He published 200+ journal and 260+ conference publications.

He won the UWA Vice-Chancellor’s Research Mentorship Award in 2016. Only one award is granted per year, in this category, across the whole UWA. He also won the UWA Award for Teaching Excellence for Research Supervision in 2016. He was congratulated for his “outstanding contributions and for going above and beyond, to inspire, support and educate”. He won the “Best Supervisor of the Year” Award at QUT. He also received an award for research supervision at UWA in 2008.

He served as a guest editor for a couple of special issues in International journals, such as a Special Issue in the IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 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), and the International Conference on Computer Vision and Pattern Recognition (CVPR 2016). He was invited to deliver courses at the International Summer School on Deep Learning (DeepLearn 2017 and DeepLearn 2022).

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. Bennamoun is regularly invited to deliver keynote speeches at International conferences.

His areas of interest include conmputer vision (particularly 3D) e.g., object recognition & biometrics; machine/deep learning; robotics (e.g., obstacle avoidance and robot grasping); signal/image processing; control theory.

He served as a member of the ARC College of Experts from (2012-2015 and 2019-2021). He also served as a member of the ARC ERA (Excellence Research for Australia) in 2018. He is also a member of the College of Assessors for the Ministry of Business, Innovation and Employment, New Zealand.

He is currently Senior Area Editor of the IEEE Signal Processing Letters and Associate Editor of the IEEE Transactions on Image Processing (impact Factor = 11.041), and Associate Editor of the IEEE Transactions on Artificial Intelligence.


Computer Vision (particularly 3D), e.g., 3D object Recognition & 3D Biometrics (Face Recognition); machine/deep learning; Signal/Image Processing, Robotics (e.g., grasping)


Fluent in Arabic
English and French

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land
  • SDG 16 - Peace, Justice and Strong Institutions

Research expertise keywords

  • 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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