Robert M. Freund

Robert M. Freund is the Theresa Seley Professor in Management Science and a Professor of Operations Research at the MIT Sloan School of Management. His research interests include convex optimization, computational complexity, convex geometry, large-scale nonlinear optimization, and first-order methods, particularly their connections to statistical and machine learning. He has served as coeditor of the journal Mathematical Programming and associate editor of several optimization and operations research journals. He is the former Co-Director of the MIT Operations Research Center and the former Chair of the INFORMS Optimization Section. He also served as Deputy Dean of the Sloan School at MIT (2008-11).

Robert M. Freund is an expert in Operations Research, with a focus on optimization techniques and their applications. His research spans various areas including convex optimization, support vector machines, and computational methods for linear programming. He has contributed to the development of efficient algorithms for solving complex optimization problems, such as the Frank-Wolfe method and interior point methods. His work also includes applications in engineering, such as robust topology optimization and photonic-crystal band-gap structures. Freund's research emphasizes both theoretical and practical aspects of optimization, with a strong emphasis on computational efficiency and robustness.