Timothy Parr


Dr. Timothy Parr is a pioneer in imaging software design with nearly two decades in computer vision, image processing, pattern recognition, experimental design and computer graphics. As CyberExtruder’s Chief Technology Officer, he is responsible for the company’s software algorithms which automatically create 3D meshes of a human head from one (or more) images to establish a 3D facial template. Dr. Parr developed the algorithms and software from its initial applications for entertainment and video games into a unique technology that has become an important resource for the intelligence, security and law enforcement communities to identify persons of interest (suspects).
In a previous role as a senior scientist for a startup company, Dr. Parr created software algorithms customized for medical devices, including developing a 3D mesh of a head for the construction of corrective head braces for babies with misshaped heads and predicting the 3D appearance of a patient’s face prior to major maxillo-facial surgery. He has received patents in the US, the UK and multiple European and Pacific Rim countries for his work in three-dimensional imaging.

While a research associate at the Wolfson Image Analysis Unit at the University of Manchester Department of Medical Biophysics, Dr. Parr mastered innovative computer vision techniques for application to the field of digital mammography. His research produced algorithms that decreased the detection of false positives per image from .05 to the rate of less than .007, which can affect radiologists’ ability to diagnose breast cancer and thereby reduce fatalities. He served as the administrator of the MIAS digital mammogram database, which became a widely used algorithm benchmark used in over 55 countries.

Dr. Parr has a Bachelor of Science in Electrical Engineering and Electronics (First-class Honours) at the University of Manchester Institute of Science and Technology (UMIST) in the UK, and a Master of Science at UMIST for which he published “Image Processing and Protected Mode on the IBM PS2 for Road Traffic Speed Detection.” He earned his Ph.D. at UMIST presenting his thesis “Automatic Vehicle Guidance via Image Processing” followed by post doctoral research at the University of Manchester Wolfson Image Analysis Unit.

Dr. Parr’s vast expertise includes mathematical modeling, multi-variate statistics and neural networks. He has published numerous articles and research papers on topics regarding digital mammography in prestigious publications such as Information Processing in Medical Imaging and The British Journal of Radiology. He has served as a referee for the IEEE journals Transactions on Medical Imaging and Image and Vision Computing.

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