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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Dr. Huan Xu is an assistant professor at the Stewart School of Industrial & Systems Engineering at Georgia Tech.
His current research interest focuses on data, learning, and decision making. Specifically, he is interested in machine learning, high-dimensional statistics, robust and stochastic optimization, sequential decision making, and application to large-scale systems. He is currently an associate editor of both IEEE Transactions on Pattern Analysis and Machine Intelligence and Computational Management Science.
He received his B. Eng. from Shanghai Jiaotong University in 1997, his M. Eng from the National University of Singapore in 2003, and his Ph. D. from McGill University in 2009. Before joining Georgia Tech, he was an assistant professor at the National University of Singapore, after a postdoc stint at UT-Austin.
Dr. Xu is a member of INFORMS and the Mathematical Optimization Society.
H. Milton Stewart School of
Industrial & Systems Engineering
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