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Paul Siebert specializes in computer vision research, particularly 3D vision systems applications and biologically motivated vision using binocular robot vision systems. His pioneering work in 3D vision systems led to the development of commercial 3D surface scanning technology marketed worldwide, utilized in diverse areas such as 3D surface anatomy assessment and construction of virtual cine characters. He has collaborated with clinical groups and the Glasgow Dental School, focusing on surface anatomy imaging. Over the past 20 years, he has undertaken collaborative projects with various companies and organizations in vision research applications development, notably serving as Director of the 3D-MATIC Faraday Partnership. Recent collaborations include visualizing visual impairment in children and 3D imaging for virtual actors as well as driver attention monitoring in vehicles. His current research concentrates on 2D and 3D computer vision methods suitable for cognitive robot vision systems and intelligent visual sensing. Prior to joining the University of Glasgow, he served as Chief Executive of the Turing Institute, Glasgow, where he developed commercial 3D vision systems applications. Paul leads the Computer Vision Graphics group and teaches Digital Image Processing and Computer Systems.