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Olga Veksler is a professor at the Cheriton School of Computer Science at the University of Waterloo. She obtained her Ph.D. and M.Sc. from Cornell University in 1999 and a B.A. from New York University in 1995. Her research interests lie in the areas of computer vision, machine learning, deep learning, and discrete optimization. She has contributed significantly to the fields of image segmentation, semantic segmentation, and salient object detection. Her work is characterized by a focus on developing algorithms that leverage graph-based approaches for solving complex problems in computer vision. Veksler has published numerous papers and is recognized for her contributions to understanding the theoretical foundations of these topics, as well as their practical applications in real-world scenarios.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.