Rate Professor Mohammed Bennamoun

Professional Summary: Professor Mohammed Bennamoun

Professor Mohammed Bennamoun is a distinguished academic at the University of Western Australia (UWA), recognized for his contributions to computer vision, machine learning, and artificial intelligence. With a career spanning several decades, he has made significant advancements in pattern recognition and 3D imaging, establishing himself as a leading researcher in these fields.

Academic Background and Degrees

Professor Bennamoun holds advanced degrees in computer science and engineering, reflecting his deep expertise in computational methodologies:

• PhD in Computer Vision, Queensland University of Technology (QUT), Australia, 1996
• MSc in Control Theory, Queen's University, Canada
• BSc in Physics, University of Mohammed V, Morocco

Research Specializations and Academic Interests

Professor Bennamoun's research focuses on cutting-edge areas within computer science, with particular emphasis on:

• Computer Vision (3D object recognition, image processing)
• Machine Learning and Artificial Intelligence
• Pattern Recognition and Signal Processing
• Robotics and Automation

His work often bridges theoretical innovation with practical applications, contributing to advancements in biometrics, autonomous systems, and medical imaging.

Career History and Appointments

Professor Bennamoun has held numerous academic and research positions, demonstrating a progressive career trajectory:

• Winthrop Professor, School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia (current position)
• Former Head of the School of Computer Science and Software Engineering, UWA
• Research and Teaching Roles at Queensland University of Technology (QUT), Australia

Major Awards, Fellowships, and Honors

Professor Bennamoun has been recognized internationally for his impactful contributions to computer science and engineering:

• Recipient of the Best Paper Award at multiple international conferences, including the International Conference on Image Processing (ICIP)
• Awarded prestigious research grants from the Australian Research Council (ARC)
• Recognized for contributions to 3D imaging and biometrics with industry and academic accolades

Key Publications

Professor Bennamoun has authored and co-authored numerous influential publications in high-impact journals and conferences. A selection of his notable works includes:

• 3D Object Recognition in Cluttered Scenes with Local Surface Features (2014), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
• A Comprehensive Performance Evaluation of 3D Local Feature Descriptors (2016), International Journal of Computer Vision
• Automatic 3D Face Recognition (2006), book chapter in Springer publications
• Over 300 peer-reviewed papers in conferences such as CVPR, ECCV, and ICCV

Influence and Impact on Academic Field

Professor Bennamoun's research has significantly influenced the fields of computer vision and machine learning, particularly in the development of robust 3D recognition systems and biometric technologies. His methodologies are widely cited and applied in both academic research and industry, impacting areas such as security systems, autonomous vehicles, and healthcare imaging. He has supervised numerous PhD students, fostering the next generation of researchers in AI and vision technologies.

Public Lectures, Committees, and Editorial Contributions

Professor Bennamoun is actively involved in the academic community through various roles and contributions:

• Delivered keynote speeches and invited talks at international conferences on computer vision and AI
• Served on program committees for prestigious conferences such as IEEE CVPR and ECCV
• Editorial board member and reviewer for leading journals in computer science and image processing
• Contributor to policy and advisory roles in technology and innovation at national and institutional levels