World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
32910
World Ranking
3726
National Ranking
1780

Mathematics

D-Index
57
Citations
31746
World Ranking
662
National Ranking
331

Research.com Recognitions

  • 2020 - Member of the National Academy of Sciences
  • 2019 - Norbert Wiener Prize in Applied Mathematics
  • 2018 - Fellow of the American Academy of Arts and Sciences
  • 2017 - Member of the National Academy of Engineering For the development of efficient algorithms for large-scale convex optimization problems.

Overview

Arkadi Nemirovski is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple disciplines including mathematics, engineering, and computer science. The scientist's work encompasses key subfields such as statistics and probability, computational mechanics, radiology, nuclear medicine and imaging, computer vision and pattern recognition, and control and systems engineering.

Their scholarly contributions focus on several main topics, including sparse and compressive sensing techniques, statistical methods and inference, medical imaging techniques and applications, image and signal denoising methods, numerical methods in inverse problems, optimization and variational analysis, and advanced optimization algorithms research.

Frequent publication venues for Arkadi Nemirovski include:

  • arXiv (Cornell University)
  • Open Journal of Mathematical Optimization
  • Journal of Optimization Theory and Applications
  • SIAM Journal on Control and Optimization
  • Optimization Methods & Software

Recent papers authored or coauthored by Nemirovski include:

  • Convex Optimization for Finite-Horizon Robust Covariance Control of Linear Stochastic Systems, 2021, SIAM Journal on Control and Optimization
  • On well-structured convex-concave saddle point problems and variational inequalities with monotone operators, 2021, Optimization Methods & Software
  • On Well-Structured Convex-Concave Saddle Point Problems and Variational Inequalities with Monotone Operators, 2021, arXiv (Cornell University)
  • Hypothesis testing via Euclidean separation, 2020, Annales de l Institut Henri Poincaré Probabilités et Statistiques
  • Tight computationally efficient approximation of matrix norms with applications, 2022, Open Journal of Mathematical Optimization

Arkadi Nemirovski collaborates frequently with several researchers, including Anatoli Juditsky, Yannis Bekri, Jan Karel Lenstra, Luca Zaccarian, and Andrew Teel Totally.

In addition to journal papers, Nemirovski has published books with notable academic publishers. These include:

  • Introduction to Linear Optimization (2023), World Scientific
  • Statistical Inference via Convex Optimization (2020), Princeton University Press
  • Essential Mathematics for Convex Optimization (2025), Cambridge University Press

Arkadi Nemirovski has received several awards recognizing their contributions, including membership in the National Academy of Sciences (2020), the Norbert Wiener Prize in Applied Mathematics (2019), fellowship of the American Academy of Arts and Sciences (2018), and membership in the National Academy of Engineering (2017) for the development of efficient algorithms for large-scale convex optimization problems.

Best Publications

  • Lectures on modern convex optimization: analysis, algorithms, and engineering applications

    Aharon Ben-Tal;Arkadiaei Semenovich Nemirovskiaei

  • Robust Convex Optimization

    A. Ben-Tal;A. Nemirovski

  • Robust solutions of uncertain linear programs

    A. Ben-Tal;A. Nemirovski

  • Robust Stochastic Approximation Approach to Stochastic Programming

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

  • Robust solutions of Linear Programming problems contaminated with uncertain data

    Aharon Ben-Tal;Arkadi Nemirovski

  • Robust optimization – methodology and applications

    Aharon Ben-Tal;Arkadi Nemirovski

  • Adjustable robust solutions of uncertain linear programs

    A. Ben-Tal;A. Goryashko;E. Guslitzer;A. Nemirovski

  • The LMI control toolbox

    Unknown

  • Convex Approximations of Chance Constrained Programs

    Arkadi Nemirovski;Alexander Shapiro

  • Prox-Method with Rate of Convergence O (1/ t ) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems

    Arkadi Nemirovski

  • New variants of bundle methods

    Claude Lemaréchal;Arkadii Nemirovskii;Yurii Nesterov

  • Lmi Control Toolbox For Use With Matlab

    Pascal Gahinet;Arkadi Nemirovski

  • Robust Truss Topology Design via Semidefinite Programming

    A. Ben-Tal;A. Nemirovski

  • On Polyhedral Approximations of the Second-Order Cone

    Aharon Ben-Tal;Arkadi Nemirovski

  • Retailer-Supplier Flexible Commitments Contracts: A Robust Optimization Approach

    Aharon Ben-Tal;Boaz Golany;Arkadi Nemirovski;Jean-Philippe Vial

  • Selected topics in robust convex optimization

    Aharon Ben-Tal;Arkadi Nemirovski

  • On Complexity of Stochastic Programming Problems

    Alexander Shapiro;Arkadi Nemirovski

  • Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems

    Aharon Ben-Tal;Stephen Boyd;Arkadi Nemirovski

  • Scenario Approximations of Chance Constraints

    Arkadi Nemirovski;Alexander Shapiro

  • Interior-point methods for optimization

    Arkadi S. Nemirovski;Michael J. Todd

  • Robust Solutions of Uncertain Quadratic and Conic-Quadratic Problems

    A. Ben-Tal;A. Nemirovski;C. Roos

Frequent Co-Authors

Anatoli Juditsky
Anatoli Juditsky Grenoble Alpes University
Aharon Ben-Tal
Aharon Ben-Tal Technion – Israel Institute of Technology
Laurent El Ghaoui
Laurent El Ghaoui VinUniversity
Zaid Harchaoui
Zaid Harchaoui University of Washington
Alexander Shapiro
Alexander Shapiro Georgia Institute of Technology
Yurii Nesterov
Yurii Nesterov Université Catholique de Louvain
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Cornelis Roos
Cornelis Roos Delft University of Technology
Guanghui Lan
Guanghui Lan Georgia Institute of Technology
Vladimir Spokoiny
Vladimir Spokoiny Weierstrass Institute for Applied Analysis and Stochastics

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in broadening their academic and career opportunities beyond Mathematics, there are several relevant online degree programs to consider. Many graduates pursue management and business roles, where analytical skills are highly valued. Exploring the fastest online MBA programs can be an efficient way to gain leadership credentials without a lengthy time commitment.

Digital marketing is another expanding field for mathematically inclined professionals. If cost is a concern, researching an MS in digital marketing degree cost tuition fees can help you find affordable, high-return options that fit your budget.

Some students prefer intensive study formats. The 1 year MBA programs provide a condensed schedule, allowing professionals to quickly upgrade their credentials and re-enter the workforce with new skills.

Additionally, the flexibility of online learning is enhanced by programs that accommodate prior credits. Seeking MBA programs with transfer credits for online MBA programs can save time and tuition costs by recognizing your previous coursework.

Best Scientists Citing Arkadi Nemirovski

Trending Scientists