Greg Shakhnarovich received a BSc degree in Mathematics and Computer Science from Hebrew University, Jerusalem, in 1994, a MSc degree in Computer Science from the Technion, Haifa, in 2001, and a PhD degree in Electrical Engineering and Computer Science from MIT in 2005. His dissertation focused on novel methods for learning concepts of similarity defined for a particular task, and represented by a set of examples. Main applications of this work have been in computer vision, where it helped build systems for efficient analysis of human bodies in images and videos. He remains interested in statistical methods for learning similarity, and the closely related topic of example-based inference.
In 2005-2007, prior to joining TTIC, Greg was a Postdoctoral Research Associate in the Department of Computer Science and the Brain Sciences Program at Brown University. There he worked on computational methods for brain-machine interfaces, with applications in neuro-motor prostheses.
Shakhnarovich is interested in computational vision and machine learning. His current research is focused on automatic understanding of visual scenes, including recovery of three-dimensional structure and detection and categorization of objects. He is also generally interested in similarity-based, supervised and semi-supervised statistical learning methods.
Dr. Shakhnarovich also has a personally maintained website which can be found at http://www.ttic.edu/gregory.