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Professor Epelman joined the faculty in Fall 1999 and teaches graduate and undergraduate courses in linear and nonlinear optimization. Her research focuses on various aspects of mathematical programming, including linear theory, semidefinite, and nonlinear optimization, as well as the development and analysis of algorithms. She has a strong interest in applications related to healthcare operations, manufacturing, production scheduling, and operations research. Epelman’s work also encompasses tools and techniques in discrete optimization, integer optimization, mathematical modeling, and network flows. By addressing optimization under uncertainty, her contributions significantly impact methods employed in business operations analytics.
Department of Electrical Engineering and Computer Science