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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At ISyE, we are a national leader in 10 core research areas: Advanced Manufacturing, Analytics and Big Data, Economic Decision Analysis, Health, Optimization, Statistics, Stochastics and Simulation, Supply Chain Engineering, Sustainable Systems Engineering, and System Informatics and Control.
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Mohit Singh is the H. Milton Stewart Associate Professor in the H. Milton Stewart School of Industrial & Systems Engineering (ISyE). Prior to this, he served as a researcher in the Theory Group at Microsoft Research in Redmond, Washington.
Singh’s research interests include discrete optimization, approximation algorithms, and convex optimization. His research is focused on optimization problems arising in cloud computing, logistics, network design, and machine learning.
Singh received the Tucker Prize in 2009 given by the Mathematical Optimization Society for an outstanding doctoral thesis on “Iterative Methods in Combinatorial Optimization.” He also received the best paper award for his work on the traveling salesman problem at the Annual Symposium on Foundations of Computer Science (FOCS) in 2011.
Previously, Singh was an assistant professor at McGill University from 2010-2011 and a postdoctoral researcher at Microsoft Research, New England from 2008-2009.
He obtained his Ph.D. in 2008 from Tepper School of Business at Carnegie Mellon University.
H. Milton Stewart School of
Industrial & Systems Engineering
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