World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7424
World Ranking
8830
National Ranking
3770

Mathematics

D-Index
40
Citations
7128
World Ranking
2044
National Ranking
864

Research.com Recognitions

  • 2013 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Daniel Bienstock is affiliated with Columbia University in the United States and is recognized for contributions in the fields of Engineering and Computer Science. Their research primarily focuses on Electrical and Electronic Engineering, Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, and Management Science and Operations Research.

The scientist's prominent research topics include:

  • Electric Power System Optimization
  • Advanced Optimization Algorithms Research
  • Optimal Power Flow Distribution
  • Smart Grid Energy Management
  • Multi-Criteria Decision Making
  • Energy Load and Power Forecasting
  • Formal Methods in Verification

Bienstock has contributed to various publication venues, with frequent appearances in:

  • arXiv (Cornell University)
  • Mathematical Programming
  • Discrete Optimization
  • IEEE Transactions on Energy Markets Policy and Regulation
  • Optimization and Engineering

Recent papers authored or co-authored by Daniel Bienstock include:

  • Principled deep neural network training through linear programming, 2023, published in Discrete Optimization
  • Mathematical programming formulations for the alternating current optimal power flow problem, 2022, published in Annals of Operations Research

The scientist often collaborates with researchers such as Yury Dvorkin, Robert Mieth, Alberto Del Pia, Matías Villagra, and Andreas M. Tillmann.

Bienstock is a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), an honor awarded in 2013.

Best Publications

  • Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty ∗

    Daniel Bienstock;Michael Chertkov;Sean Harnett

  • Computational study of a family of mixed-integer quadratic programming problems

    Daniel Bienstock

  • A note on the prize collecting traveling salesman problem

    Daniel Bienstock;Michel X. Goemans;David Simchi-Levi;David Williamson

  • Monotonicity in graph searching

    D. Bienstock;Paul Seymour

  • Capacitated Network Design—Polyhedral Structure and Computation

    Daniel Bienstock;Oktay Günlük

  • Minimum cost capacity installation for multicommodity network flows

    Daniel Bienstock;Sunil Chopra;Oktay Günlük;Chih-Yang Tsai

  • Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

    Daniel Bienstock

  • The $N-k$ Problem in Power Grids: New Models, Formulations, and Numerical Experiments

    Daniel Bienstock;Abhinav Verma

  • Power Grid Vulnerability to Geographically Correlated Failures - Analysis and Control Implications

    Andrey Bernstein;Daniel Bienstock;David Hay;Meric Uzunoglu

  • Computing robust basestock levels

    Daniel Bienstock;Nuri ÖZbay

  • Graph Searching, Path-Width, Tree-Width and Related Problems (A Survey).

    Daniel Bienstock

  • Strong NP-hardness of AC power flows feasibility

    Daniel Bienstock;Abhinav Verma

  • On the complexity of testing for odd holes and induced odd paths

    Dan Bienstock

  • Quickly excluding a forest

    Dan Bienstock;Neil Robertson;Paul Seymour;Robin Thomas

  • Solving LP relaxations of large-scale precedence constrained problems

    Daniel Bienstock;Mark Zuckerberg

  • Using mixed-integer programming to solve power grid blackout problems

    Daniel Bienstock;Sara Mattia

  • Computational experience with a difficult mixed-integer multicommodity flow problem

    D. Bienstock;O. Günlük

  • Optimizing Resource Acquisition Decisions by Stochastic Programming

    Daniel Bienstock;Jeremy F. Shapiro

  • Some provably hard crossing number problems

    Daniel Bienstock

  • Optimal control of cascading power grid failures

    Daniel Bienstock

  • The N-k Problem in Power Grids: New Models, Formulations and Numerical Experiments (Extended Version)

    Daniel Bienstock;Abhinav Verma

Frequent Co-Authors

Michael Chertkov
Michael Chertkov University of Arizona
Russell Bent
Russell Bent Los Alamos National Laboratory
Gil Zussman
Gil Zussman Columbia University
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
Michael A. Langston
Michael A. Langston University of Tennessee at Knoxville
Paul Seymour
Paul Seymour Princeton University
George L. Nemhauser
George L. Nemhauser Georgia Institute of Technology
Scott Backhaus
Scott Backhaus Los Alamos National Laboratory
Ian A. Hiskens
Ian A. Hiskens University of Michigan–Ann Arbor

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