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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Yu Yang is a Ph.D. candidate in Operations Research at the H. Milton Stewart School of Industrial and Systems Engineering. His research interests lie in the intersection of operations management and optimization. He has been working on modeling and optimizing operations management problems in logistics and healthcare and on designing efficient algorithms, both theoretically and practically, for general optimization models. His research vision is to apply his solid mathematical modeling skills and expertise in optimization and data analysis to help various organizations make better decisions. His research has been centered around the following four research streams: 1) equipment management in logistics service networks; 2) treatment planning in radiation therapy for cancer treatment; 3) efficient solution schemes for classical integer programs (IPs); 4) non-convex optimization in machine learning (ML).