World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
51
Citations
13126
World Ranking
1005
National Ranking
463

Engineering and Technology

D-Index
53
Citations
13444
World Ranking
3330
National Ranking
985

Overview

Shabbir Ahmed was affiliated with the Georgia Institute of Technology in the United States. Their research primarily focused on engineering, with a particular emphasis on management science and operations research. The subfields of study encompassed Management Science and Operations Research, Control and Systems Engineering, Economics and Econometrics, Electrical and Electronic Engineering, and Mechanics of Materials.

Throughout their career, Ahmed contributed to numerous topics, including:

  • Risk and Portfolio Optimization
  • Optimization and Mathematical Programming
  • Ultrasonics and Acoustic Wave Propagation
  • Optimization and Variational Analysis
  • Supply Chain and Inventory Management
  • Vehicle Routing Optimization Methods
  • Optimization and Search Problems

The scientist published several papers with notable recent works such as:

  • Distributionally robust facility location problem under decision-dependent stochastic demand, 2020, European Journal of Operational Research
  • The Benders Dual Decomposition Method, 2020, Operations Research
  • Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems, 2020, INFORMS Journal on Computing
  • Bicriteria Approximation of Chance-Constrained Covering Problems, 2020, Operations Research
  • Optimization-Driven Scenario Grouping, 2020, INFORMS Journal on Computing

The frequent coauthors of Shabbir Ahmed included George L. Nemhauser, Fotis Kopsaftopoulos, Álinson Santos Xavier, Feng Qiu, and Weijun Xie. This reflects a collaborative approach across multiple research efforts.

The scientist's work appeared predominantly in several publication venues, with multiple contributions to:

  • arXiv (Cornell University)
  • INFORMS Journal on Computing
  • Mathematical Programming
  • European Journal of Operational Research
  • Operations Research

Shabbir Ahmed's research spanned a range of interdisciplinary areas within engineering, focusing especially on optimization problems, decision-making under uncertainty, and computational methods relevant to operational research and systems engineering.

Best Publications

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

    Tjendera Santoso;Shabbir Ahmed;Marc Goetschalckx;Alexander Shapiro

  • A Sample Approximation Approach for Optimization with Probabilistic Constraints

    James Luedtke;Shabbir Ahmed

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

    Bernardo K. Pagnoncelli;Shabbir Ahmed;Alexander Shapiro

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

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

  • A Multi-Stage Stochastic Integer Programming Approach for Capacity Expansion under Uncertainty

    Shabbir Ahmed;Alan J. King;Gyana Parija

  • An integer programming approach for linear programs with probabilistic constraints

    James Luedtke;Shabbir Ahmed;George L. Nemhauser

  • Mixed-Integer Models for Nonseparable Piecewise-Linear Optimization: Unifying Framework and Extensions

    Juan Pablo Vielma;Shabbir Ahmed;George Nemhauser

  • A finite branch-and-bound algorithm for two-stage stochastic integer programs

    Shabbir Ahmed;Mohit Tawarmalani;Nikolaos V. Sahinidis

  • Supply chain design under uncertainty using sample average approximation and dual decomposition

    Peter Schütz;Asgeir Tomasgard;Asgeir Tomasgard;Shabbir Ahmed

  • Stochastic dual dynamic integer programming

    Jikai Zou;Shabbir Ahmed;Xu Andy Sun

  • The Sample Average Approximation Method for Stochastic Programs with Integer Recourse

    Shabbir Ahmed;Alexander Shapiro

  • Robust Process Planning under Uncertainty

    Shabbir Ahmed;Nikolaos V. Sahinidis

  • Coherent Risk Measures in Inventory Problems

    Shabbir Ahmed;Ulaş Çakmak;Alexander Shapiro

  • Convexity and decomposition of mean-risk stochastic programs

    Shabbir Ahmed

  • Solving Mixed Integer Bilinear Problems Using MILP Formulations

    Akshay Gupte;Shabbir Ahmed;Myun-Seok Cheon;Santanu S. Dey

  • Distributionally Robust Chance Constrained Optimal Power Flow with Renewables: A Conic Reformulation

    Weijun Xie;Shabbir Ahmed

  • Solving Chance-Constrained Stochastic Programs via Sampling and Integer Programming

    Shabbir Ahmed;Alexander Shapiro

  • A Lifted Linear Programming Branch-and-Bound Algorithm for Mixed-Integer Conic Quadratic Programs

    Juan Pablo Vielma;Shabbir Ahmed;George L. Nemhauser

  • ON A CLASS OF MINIMAX STOCHASTIC PROGRAMS

    Alexander Shapiro;Shabbir Ahmed

  • Sample average approximation of expected value constrained stochastic programs

    Wei Wang;Shabbir Ahmed

  • 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

George L. Nemhauser
George L. Nemhauser Georgia Institute of Technology
Santanu S. Dey
Santanu S. Dey Georgia Institute of Technology
Alexander Shapiro
Alexander Shapiro Georgia Institute of Technology
Nikolaos V. Sahinidis
Nikolaos V. Sahinidis Georgia Institute of Technology
Yongpei Guan
Yongpei Guan University of Florida
Martin W. P. Savelsbergh
Martin W. P. Savelsbergh Georgia Institute of Technology
David A. Bader
David A. Bader New Jersey Institute of Technology
Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
Andrew J. Schaefer
Andrew J. Schaefer Rice University
M. Selim Akturk
M. Selim Akturk Bilkent University

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