Stephen P. Boyd has been named as a 2016 INFORMS Fellow. The Fellow Award is reserved for distinguished individuals who have demonstrated outstanding and exceptional accomplishments in operations research and the management sciences.
His citation reads, "For exceptional teaching and broad dissemination of convex optimization and outstanding research leading to innovative formulations and algorithms for problems across a wide array of disciplines."
Stephen has received many awards and honors for his research in control systems engineering and optimization. In 2016, he also received Stanford's highest teaching honor, the Walter J. Gores teaching award for his signature course, Convex Optimization. He is the author of many research articles and three books: Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with L. El Ghaoui, E. Feron, and V. Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.
Stephen is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, finance, and circuit design.
Please join us in congratulating Stephen for this well-deserved honor.