Researcher biography

Shakes' expertise include image processing, machine/deep learning, artificial intelligence (AI), image reconstruction and medical image analysis. He received his Ph.D in Theoretical Physics from Monash University, Melbourne in 2010 on a discrete theory of the Radon transform that utilises circulant matrices. He did a post-doctoral fellowship with CSIRO, Brisbane within the biomedical imaging group on musculoskeletal imaging. More specifically, he developed deformable model and machine learning algorithms for knee, hip and shoulder joint segmentation for deployment on the Siemens Syngo platform. He is currently a Senior Lecturer and leads a team of 10+ researchers working image analysis and AI research across healthcare and medicine. He currently teaches the computer science courses Theory of Computation and Pattern Recognition and Analysis.