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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
81
Citations
39770
World Ranking
133
National Ranking
76

Engineering and Technology

D-Index
78
Citations
36781
World Ranking
586
National Ranking
201

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2021 - INFORMS John von Neumann Theory Prize
  • 2020 - Member of the National Academy of Engineering For contributions to the theory, computation, and application of stochastic programming.
  • 2018 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)
  • 2013 - Khachiyan Prize of the INFORMS Optimization Society

Overview

Alexander Shapiro is a researcher affiliated with the Georgia Institute of Technology in the United States. Their work primarily focuses on decision sciences and engineering, with a specialization in management science and operations research, control and systems engineering, computational theory and mathematics, statistics and probability, and economics and econometrics.

The main topics they address in their research include:

  • Risk and Portfolio Optimization
  • Fuzzy Systems and Optimization
  • Sparse and Compressive Sensing Techniques
  • Optimization and Variational Analysis
  • Optimization and Mathematical Programming
  • Water resources management and optimization
  • Economic theories and models

Alexander Shapiro has published research in various academic venues, frequently contributing to:

  • arXiv (Cornell University)
  • Operations Research
  • Operations Research Letters
  • SIAM Journal on Optimization
  • European Journal of Operational Research

Recent notable publications include:

  • "Tutorial on risk neutral, distributionally robust and risk averse multistage stochastic programming," 2020, European Journal of Operational Research
  • "Bayesian Distributionally Robust Optimization," 2023, SIAM Journal on Optimization
  • "Duality and sensitivity analysis of multistage linear stochastic programs," 2022, European Journal of Operational Research
  • "Technical Note-Time Inconsistency of Optimal Policies of Distributionally Robust Inventory Models," 2020, Operations Research
  • "Mathematical Foundations of Distributionally Robust Multistage Optimization," 2021, SIAM Journal on Optimization

Frequent co-authors in Shapiro's work include Andrzej Ruszczyński, Enlu Zhou, Yi Cheng, Alois Pichler, and Vincent Guigues.

Alexander Shapiro has published a book titled Lectures on Stochastic Programming: Modeling and Theory, Third Edition with the Society for Industrial and Applied Mathematics in 2021.

Awards received by Alexander Shapiro include:

  • Member of the National Academy of Engineering (2020), recognized for contributions to the theory, computation, and application of stochastic programming
  • Dantzig Prize by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS) in 2018
  • Khachiyan Prize of the INFORMS Optimization Society in 2013

Best Publications

  • Lectures on Stochastic Programming: Modeling and Theory

    Alexander Shapiro;Darinka Dentcheva;Andrzej P. Ruszczyński

  • Perturbation Analysis of Optimization Problems

    J Frédéric Bonnans;Alexander Shapiro

  • Robust Stochastic Approximation Approach to Stochastic Programming

    A. Nemirovski;A. Juditsky;G. Lan;A. Shapiro

  • The Sample Average Approximation Method for Stochastic Discrete Optimization

    Anton J. Kleywegt;Alexander Shapiro;Tito Homem-de-Mello

  • Stochastic Approximation approach to Stochastic Programming

    Anatoli Juditsky;Guanghui Lan;Arkadii S. Nemirovski;Alexander Shapiro

  • A stochastic programming approach for supply chain network design under uncertainty

    Tjendera Santoso;Shabbir Ahmed;Marc Goetschalckx;Alexander Shapiro

  • Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices

    Suleyman Basak;Alexander Shapiro

  • Convex Approximations of Chance Constrained Programs

    Arkadi Nemirovski;Alexander Shapiro

  • Monte Carlo Sampling Methods

    Alexander Shapiro

  • On the multivariate asymptotic distribution of sequential Chi-square statistics.

    James H. Steiger;Alexander Shapiro;Michael W. Browne

  • Sample Average Approximation Method for Chance Constrained Programming: Theory and Applications

    Bernardo K. Pagnoncelli;Shabbir Ahmed;Alexander Shapiro

  • Optimization of Convex Risk Functions

    Andrzej Ruszczyński;Alexander Shapiro

  • The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study

    Bram Verweij;Shabbir Ahmed;Anton J. Kleywegt;George Nemhauser

  • Analysis of stochastic dual dynamic programming method

    Alexander Shapiro

  • Stochastic Programming Models

    Andrzej Ruszczyński;Alexander Shapiro

  • On Complexity of Stochastic Programming Problems

    Alexander Shapiro;Arkadi Nemirovski

  • Lectures on Stochastic Programming: Modeling and Theory, Second Edition

    Alexander Shapiro;Darinka Dentcheva;Andrzej Ruszczynski

  • The empirical behavior of sampling methods for stochastic programming

    Jeff T. Linderoth;Alexander Shapiro;Stephen J. Wright

  • On the Rate of Convergence of Optimal Solutions of Monte Carlo Approximations of Stochastic Programs

    Alexander Shapiro;Tito Homem-de-Mello

  • A simulation-based approach to two-stage stochastic programming with recourse

    Alexander Shapiro;Tito Homem-de-Mello

  • Production, Manufacturing and Logistics A stochastic programming approach for supply chain network design under uncertainty

    Tjendera Santoso;Shabbir Ahmed;Marc Goetschalckx;Alexander Shapiro

Frequent Co-Authors

Andrzej Ruszczyński
Andrzej Ruszczyński Rutgers, The State University of New Jersey
Shabbir Ahmed
Shabbir Ahmed Georgia Institute of Technology
Michael W. Browne
Michael W. Browne The Ohio State University
Suleyman Basak
Suleyman Basak London Business School
Arkadi Nemirovski
Arkadi Nemirovski Georgia Institute of Technology
Stan Uryasev
Stan Uryasev Stony Brook University
Jos M. F. ten Berge
Jos M. F. ten Berge University of Groningen
Roberto Cominetti
Roberto Cominetti Adolfo Ibáñez University
Guanghui Lan
Guanghui Lan Georgia Institute of Technology
Michael Beenstock
Michael Beenstock Hebrew University of Jerusalem

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