Alexander Shapiro

A. Russell Chandler III Chair and
Professor


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  • Alexander Shapiro Google Scholar

Education

  • Ph.D. Applied Mathematics-Statistics (1981), Ben-Gurion University of the Negev, Israel
  • M.Sc. Mathematics (1971), Moscow University

Expertise

  • Optimization
  • Statistics

About

Alexander Shapiro is the A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

Dr. Shapiro’s research interests are focused on stochastic programming, risk analysis, simulation based optimization, and multivariate statistical analysis.   In 2013 he was awarded Khachiyan Prize of INFORMS for lifetime achievements in optimization, and in 2018 he was a recipient of the Dantzig Prize awarded by the Mathematical Optimization Society and Society for Industrial and Applied Mathematics. In 2020 he was elected to the National Academy of Engineering. In 2021 he was a recipient of John von Neumann Theory Prize awarded by the Institute for Operations Research and the Management Sciences (INFORMS).

Dr. Shapiro served  on editorial board of a number of professional journals. He was an area editor (optimization) of the Operations Research Journal and the editor-in-chief of the Mathematical Programming, Series A, Journal.

Research

Dr. Shapiro's research interests center on   Statistics, and Operations Research

Teaching

Dr. Shapiro teaches undergraduate and graduate classes in Statistics, and advisers senior design teams.  

Representative Publications

Published Books 
 

Rubinstein, R.Y. and Shapiro, A., Discrete Event Systems:
Sensitivity Analysis and Stochastic Optimization by the Score Function
Method,  John Wiley and Sons, New York, 1993.
 
 Bonnans, J. F. and Shapiro, A.,   Perturbation Analysis of
Optimization Problems, Springer, New York, 2000.
   
Shapiro, A., Dentcheva, D.  and  Ruszczynski, A.,  Lectures on Stochastic Programming: Modeling and Theory,  SIAM, Philadelphia, 2009,
second edition, 2014, third edition,   2021.
 
Shapiro, A.,   Topics in Stochastic Programming, CORE Lecture Series, Universite Catholique de Louvain, 2011.