Thomas L. Magnanti
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Thomas L. Magnanti | |
Residence | United States |
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Citizenship | American |
Fields | Operations Research, Management |
Institutions | MIT |
Alma mater | Stanford University (PhD) Syracuse University (BS) |
Known for | Dean of MIT School of Engineering |
Thomas L. Magnanti is an Institute Professor and former Dean of the School of Engineering at the Massachusetts Institute of Technology. His teaching and research interests are in applied and theoretical aspects of large-scale optimization and operations research.
Professor Magnanti received an undergraduate degree in Chemical Engineering from Syracuse University (1967) and master's degrees in both Statistics (1969) and Mathematics (1971) from Stanford University, where he also received his doctorate in Operations Research (1972). Professor Magnanti's research and teaching interests focus on the theory and application of large-scale optimization, particularly in the areas of network flows, nonlinear programming, and combinatorial optimization. He has conducted research on such topics as production planning and scheduling, transportation planning, facility location, logistics, and communication systems design.
Dr. Magnanti has served on thesis committees for approximately 70 doctoral students, supervising over 25. His publications include co-authorship of two textbooks, Applied Mathematical Programming and Network Flows: Theory, Algorithms and Applications, and the co-editorship of two other books. He has received honorary doctorates from Linköping University, the Université de Montréal, and the Université Catholique de Louvain. Professor Magnanti is a member of the National Academy of Engineering and the American Academy of Arts and Sciences.
Magnanti was a founding co-director of MIT's Leaders For Manufacturing Program and the System Design and Management program.
He is a past President of the Operations Research Society of America (ORSA) and of the Institute of Operations Research and Management Sciences (INFORMS) and has been Editor-in-Chief of the journal Operations Research.