Winthrop Professor Mohammed Bennamoun is an internationally recognised leader in computer vision and artificial intelligence at The University of Western Australia. His research has driven advances in 3D vision, deep learning, and multimodal AI, with broad real-world impact across a wide range of domains. These include, among others, defence and security, medical imaging, crime prevention, transportation, agriculture, media analytics and geospatial analysis. His contributions have enabled progress in areas such as biometric identification, clinical imaging, and robotics operating in complex environments. His work has supported government agencies, industry partners, healthcare providers, and the research community, with impact extending from Western Australia to national and global levels through widespread adoption, strong citation, and real-world AI deployment.

He 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 240+ journal and 300+ 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 received two best paper awards in 2024: one from the Proceedings of the IEEE and another from the IEEE Computational Intelligence Magazine. He is also a Clarivate Highly Cited Researcher for 2025 (ranking among the top 0.1% of scientists worldwide) and was recognised in The Australian’s 2026 list of Australia’s top 250 researchers, which highlights leading scholars across 250 research fields.

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 served as 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)