Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
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Ming Yuan is an adjunct professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech.
Dr. Yuan's current research interests include statistical learning, bioinformatics and methods of regularization.
Dr. Yuan received his Ph.D. in statistics from the University of Wisconsin at Madison. He also holds an M.S. in computer science from the University of Wisconsin; and a B.S. in electrical engineering and information science from the University of Science & Technology of China.