Affiliation: Palo Alto Research Center (PARC), Palo Alto, CA

Dr. Evgeniy (Eugene) Bart is a computer scientist with an expertise in machine learning and high-level vision in humans. He is interested in understanding how learning is used to solve various visual tasks. His work focuses on high-level tasks, such as object recognition and scene interpretation. Currently, he is working on developing scene interpretation methods for document analysis.

Dr. Bart obtained his doctorate from the Weizmann Institute of Science in Rehovot, Israel, under the guidance of Dr. Shimon Ullman. His doctoral work focused on how computers can use small fragments of visual images, called “extended fragments”, to recognize visual objects regardless of task-irrelevant variations, such as variations of viewpoint or illumination. His later work showed that human beings can also use such fragments to achieve invariant object recognition. His work also showed when human subjects learn to recognize novel objects, they learn such image fragments as a matter of course.

Dr. Bart obtained his post-doctoral training at the Massachusetts Institute of Technology in Cambridge, MA, University of Minnesota in Minneapolis, MN, and California Institute of Technology in Pasadena, CA before assuming his current position as the Member of the Research Staff at the Palo Alto Research Center in Palo Alto, CA.

In addition to his expertise in image fragments, Dr. Bart’s expertise encompasses many other broad and diverse areas in vision science, including deep learning in deep neural networks and humans, explainability, category learning in biological systems, invariant object recognition by machine and biological systems, and normalcy modeling.