Name Reuven Rubinstein Role Author | Died 2012 | |
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Books The Cross‑Entropy Method, Simulation and the Monte Ca, Fast Sequential Monte Ca, Modern simulation and mod, Simulation and the Monte Ca | ||
Reuven Rubinstein (1938-2012)(Hebrew: ראובן רובינשטיין) was an Israeli scientist known for his contributions to Monte Carlo simulation, applied probability, stochastic modeling and stochastic optimization, having authored more than one hundred papers and six books.
During his career, Rubinstein has made fundamental and important contributions in these fields and has advanced the theory and application of adaptive importance sampling, rare event simulation, stochastic optimization, sensitivity analysis of simulation-based models, the splitting method, and counting problems concerning NP-complete problems.
He is well known as the founder of several breakthrough methods, such as the score function method, stochastic counterpart method and cross-entropy method, which have numerous applications in combinatorial optimization and simulation.
His citation index is in the top 5% among his colleagues in operations research and management sciences. His 1981 book "Simulation and the Monte Carlo Method", Wiley (second edition 2008 and third edition 2017, with D.P. Kroese) alone has over 5,700 citations. He has held visiting positions in various research institutes, including Columbia University, Harvard University, Stanford University, IBM and Bell Laboratories. He has given invited and plenary lectures in many international conferences around the globe.
In 2010 Prof. Rubinstein won the INFORMS Simulation Society highest prize - the Lifetime Professional Achievement Award (LPAA), which recognizes scholars who have made fundamental contributions to the field of simulation that persist over most of a professional career.
In 2011 Reuven Rubinstein won the Operations Research Society of Israel (ORSIS) highest prize - the Lifetime Professional Award (LPA), which recognizes scholars who have made fundamental contributions to the field of operations research over most of a professional career.