Dr Kurlin Vitaliy
Dr Vitaliy Kurlin works in the hot area of Topological Data Analysis within the emerging discipline of Data Science. He studies unorganised and uncertain data by using rigorous methods of algebraic topology and computational geometry. The applications include a new solution to the over-segmentation problem when a large image containing millions of pixels is well-approximated by a small number of so-called superpixels, which are convex polygons with straight edges and vertices at subpixel resolution. Since 2014 this research is supported by the EPSRC Impact Acceleration Account through Knowledge Transfer Secondments in the Computer Vision group at Microsoft Research Cambridge, UK.
To find more about Dr Vitaliy Kurlin, including the research papers, C++ software and blog on Topological Data Analysis, please visit his personal webpage or is departmental page.