Yuri Boykov is a Professor at
Cheriton School of Computer Science at the University of Waterloo.
His research is concentrated in the area of computer
vision and biomedical image analysis with focus on modeling and optimization for structured segmentation, restoration, registration, stereo, motion, model fitting, recognition, photo-video editing and other data analysis problems. He is an editor for the International Journal of Computer Vision (IJCV). His work was listed among 10 most influential papers in IEEE Transactions of Pattern Analysis and Machine Intelligence (TPAMI Top Picks for 30 years). In 2017 Google Scholar listed his work on segmentation as a "classic paper in computer vision and pattern recognition" (from 2006). In 2011 he received Helmholtz Prize from IEEE and Test of Time Award by the International Conference on Computer Vision. The Faculty of Science at the University of Western Ontario recognized his work by awarding Distinguished Research Professorship in 2014 and Florence Bucke Prize in 2008.
He received "Diploma of Higher Education with Honors" at
Moscow Institute of Physics and Technology
(department of Electrical Engineering and Cybernetics)
in 1992 and completed his Ph.D. at the department of
Operations Research at
Cornell University, Ithaca, NY, in 1996.