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Research Scientist, PhDAT&T Labs Research
Mauricio G. C. Resende is a research scientist at the Algorithms and Optimization Research Department at the AT&T Shannon Laboratory of AT&T Labs Research. His undergraduate studies were in electrical engineering (systems concentration) at the Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Brazil (1978) and he earned a M.Sc. in operations research at the Georgia Institute of Technology (1979). He has been at AT&T Bell Labs and AT&T Labs since earning his Ph.D. in operations research at the University of California, Berkeley, in 1987. His research has focused on optimization, including interior point algorithms for linear programming, network optimization, and nonlinear programming, as well as heuristics for discrete optimization problems arising in telecommunications, scheduling, location, assignment, and graph theory. Most of his work with heuristics has focused on GRASP (greedy randomized adaptive search procedures), a metaheuristic that he and Thomas A. Feo developed in the late 1980s. He has developed several decision support systems (tools) for optimization problems arising in telecommunications. He has published over 100 papers. He is co-editor of Handbook of Optimization in Telecommunications, Handbook of Applied Optimization, Handbook of Massive Datasets, Metaheuristics: Computer Decision-Making, Parallel Processing of Discrete Optimization Problems, and the book series Massive Computing. He is on the editorial board of nine journals. Besides working in the telecommunications industry, he has worked in the electrical power and semiconductor manufacturing industries.
Efficient Heuristic Algorithms | Heuristic Algorithms | Metaheuristics | Optimization | Telecommunications |
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