Dianne O'Leary delivered the Sonia Kovalevsky Lecture at the 2008 Society for Industrial and Applied Mathematics Annual Meeting. O'Leary is a professor in the computer science department and at the Institute for Advanced Computer Studies at the University of Maryland. A Fellow of the Association for Computing Machinery, she has served as a consultant at the National Institute of Standards and Technology since 1978. She was selected as the Kovalevsky Lecturer by the Society for Industrial and Applied Mathematics and the Association for Women in Mathematics in recognition of her significant research in computational linear algebra and optimization, subjects at the interface between computer science and mathematics. Her work includes numerous articles in diverse areas, such as conjugate gradient methods and preconditioners, regularization, image processing, truncated Newton methods, block conjugate gradient and quasi-Newton methods, linear and quadratic programming, and hidden Markov models. Applications of her core research work include information retrieval, computational biology, and quantum computing. In addition to this research, O'Leary has been deeply engaged in education and mentoring activities throughout her career.
View image

