The Institute for Operations Research and the Management Sciences (INFORMS) today announced the award of its John Von Neumann Theory prize, a sometime harbinger of the Nobel Prize, to IBM's Nimrod Megiddo for innovations in game theory, linear programming, and combinatorial optimization.
"In algorithmic game theory, Megiddo has done groundbreaking work that anticipated by two decades the more recent blossoming of the field," said Stephen Robinson, President of INFORMS.
Dr. Megiddo, the former editor-in-chief of the INFORMS journal Mathematics of Operations Research, was recognized for fundamental contributions across a broad range of areas of operations research and management science, most notably in linear programming, combinatorial optimization, and algorithmic game theory. His work has been highly influential in both identifying key concepts and developing new algorithmic approaches for fundamental problems.
The John Von Neumann Theory Prize is awarded annually to a scholar who has made fundamental, sustained contributions to theory in operations research and the management sciences. The award is given each year at the INFORMS annual meeting.
The award was presented at the 2014 INFORMS annual meeting in San Francisco on Sunday night, November 9.
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