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.
In addition to co-editing this handbook, he is co-editor of 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 six journals. Besides working in the
telecommunications industry, he has worked in the electrical power and
semiconductor manufacturing industries.
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