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Mauricio G. C. Resende (born July 27, 1955 in Maceió, Brazil) is a Brazilian-American research scientist with contributions to the field of mathematical optimization. He is best known for the development of the metaheuristics GRASP (greedy randomized adaptive search procedures),[1] and BRKGA (biased random-key genetic algorithms)[2] as well as the first successful implementation of Karmarkar’s interior point algorithm.[3]
He published over 180 peer-reviewed papers, the book Optimization by GRASP[4] and co-edited five books, including the Handbook of Applied Optimization,[5] the Handbook of Optimization in Telecommunications,[6] the Handbook of Heuristics,[7] and the Handbook of Massive Datasets.[8] Additionally, he gave multiple plenary talks[9] in international conferences and is on the editorial boards of several scientific journals.
In June 1978, Mauricio G. C. Resende graduated from PUC-Rio with an Electrical Engineering degree with concentration in Systems Engineering.[10] In August 1979, he earned a M.Sc. in operations research at the Georgia Institute of Technology. Later, in August 1987, he earned a Ph.D. in operations research in at the University of California, Berkeley.[11]
Mauricio G. C. Resende is currently an INFORMS Fellow,[12] holds a permanent member position of DIMACS[13] at Rutgers University and is an affiliate professor at the University of Washington.[14] Until December 2022, he worked at Amazon.com as a Principal Research Scientist in the Mathematical Optimization and Planning group.[15] Previously, he was Lead Inventive Scientist at AT&T Bell Labs where he worked for over a quarter century.
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