World's Best Scientists 2026 revealed!
Award Badge
Engineering and Technology
USA
2026

D-Index & Metrics

Best Scientists

D-Index
165
Citations
288346
World Ranking
1014
National Ranking
599

Engineering and Technology

D-Index
147
Citations
272592
World Ranking
8
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2022 - Research.com Engineering and Technology in United States Leader Award
  • 2016 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 2015 - SIAM Fellow For fundamental contributions to the development, teaching, and practice of optimization in engineering.
  • 2014 - Member of the National Academy of Engineering For contributions to engineering design and analysis via convex optimization.
  • 2013 - IEEE Control Systems Award “For contributions to systems design and analysis via convex optimization.”
  • 1999 - IEEE Fellow For contributions to the design and analysis of control systems using convex optimization based CAD tools.

Overview

Stephen Boyd is affiliated with Stanford University in the United States. Their research spans multiple fields, primarily within computer science and engineering. Over the course of their career, they have contributed extensively to areas such as artificial intelligence, management science and operations research, statistics and probability, computational theory and mathematics, and finance.

Their scholarly output includes more than 100 publications in computer science and over 70 in engineering. Among their work, frequent research topics include risk and portfolio optimization, sparse and compressive sensing techniques, statistical methods and inference, advanced optimization algorithms research, stochastic gradient optimization techniques, advanced bandit algorithms research, and optimization and search problems.

Their publication record features papers in well-known venues. Some of the most frequent outlets include arXiv (Cornell University) with 64 publications, Optimization and Engineering with 14, the SSRN Electronic Journal with 12, the Journal of Optimization Theory and Applications with 5, and IEEE Access with 3 publications.

Notable recent papers by Stephen Boyd are:

  • OSQP: an operator splitting solver for quadratic programs (2020), published in Mathematical Programming Computation
  • Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization (2022), published in IEEE Access
  • Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations (2020), published in SIAM Journal on Optimization
  • Sample Efficient Reinforcement Learning with REINFORCE (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Anderson Accelerated Douglas--Rachford Splitting (2020), published in SIAM Journal on Scientific Computing

Frequently collaborating with other researchers, Stephen Boyd's most common co-authors include Shane Barratt, Mykel J. Kochenderfer, Eric Luxenberg, Akshay Agrawal, and Kasper Johansson.

Throughout their career, Stephen Boyd has received several professional distinctions including:

  • Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2016
  • SIAM Fellow in 2015, recognized for contributions to optimization in engineering
  • Member of the National Academy of Engineering since 2014, for contributions to engineering design and analysis via convex optimization
  • IEEE Control Systems Award in 2013 for contributions to systems design and analysis using convex optimization
  • IEEE Fellow in 1999 for work on the design and analysis of control systems based on convex optimization CAD tools

Best Publications

  • Convex Optimization

    Stephen Boyd;Lieven Vandenberghe

  • Linear matrix inequalities in system and control theory

    S. Boyd

  • Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

    Stephen Boyd;Neal Parikh;Eric Chu;Borja Peleato

  • Semidefinite programming

    Lieven Vandenberghe;Stephen Boyd

  • Enhancing Sparsity by Reweighted ℓ 1 Minimization

    Emmanuel J. Candès;Michael B. Wakin;Stephen P. Boyd

  • Proximal Algorithms

    Neal Parikh;Stephen Boyd

  • Fast linear iterations for distributed averaging

    Lin Xiao;Stephen P. Boyd

  • Graph Implementations for Nonsmooth Convex Programs

    Michael C. Grant;Stephen P. Boyd

  • Disciplined Convex Programming

    Michael Grant;Stephen Boyd;Yinyu Ye

  • Applications of second-order cone programming

    Miguel Sousa Lobo;Lieven Vandenberghe;Stephen Boyd;Hervé Lebret

  • An Interior-Point Method for Large-Scale $ll_1$ -Regularized Least Squares

    Seung-Jean Kim;K. Koh;M. Lustig;S. Boyd

  • Enhancing Sparsity by Reweighted L1 Minimization

    Emmanuel J. Candes;Michael B. Wakin;Stephen P. Boyd

  • Randomized gossip algorithms

    Stephen Boyd;Arpita Ghosh;Balaji Prabhakar;Devavrat Shah

  • Simple accurate expressions for planar spiral inductances

    S.S. Mohan;M. del Mar Hershenson;S.P. Boyd;T.H. Lee

  • Linear controller design: limits of performance

    Stephen P. Boyd;Craig H. Barratt

  • Fast Model Predictive Control Using Online Optimization

    Yang Wang;S. Boyd

  • A scheme for robust distributed sensor fusion based on average consensus

    Lin Xiao;Stephen Boyd;Sanjay Lall

  • Iterative water-filling for Gaussian vector multiple-access channels

    Wei Yu;Wonjong Rhee;S. Boyd;J.M. Cioffi

  • A tutorial on geometric programming

    Stephen Boyd;Seung-Jean Kim;Lieven Vandenberghe;Arash Hassibi

  • CVXPY: a python-embedded modeling language for convex optimization

    Steven Diamond;Stephen Boyd

  • Convex Optimization: Convex optimization problems

    Stephen Boyd;Lieven Vandenberghe

Frequent Co-Authors

Venkataramanan Balakrishnan
Venkataramanan Balakrishnan Purdue University West Lafayette
Lieven Vandenberghe
Lieven Vandenberghe University of California, Los Angeles
Lin Xiao
Lin Xiao Facebook (United States)
Eric Feron
Eric Feron King Abdullah University of Science and Technology
Lei Xing
Lei Xing Stanford University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Mikael Johansson
Mikael Johansson Royal Institute of Technology
Alberto Bemporad
Alberto Bemporad IMT Institute for Advanced Studies Lucca
Laurent El Ghaoui
Laurent El Ghaoui VinUniversity
Thomas H. Lee
Thomas H. Lee Stanford University

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:

Best Scientists Citing Stephen Boyd

Trending Scientists

Recently Published Articles