World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Computer Science

D-Index
102
Citations
50755
World Ranking
334
National Ranking
182

Electronics and Electrical Engineering

D-Index
97
Citations
47845
World Ranking
212
National Ranking
102

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2020 - ACM Fellow For theoretical foundations and real-world deployment of Internet congestion control and smart grid optimization
  • 2008 - IEEE Fellow For contributions to internet congestion control

Overview

Steven H. Low is affiliated with the California Institute of Technology in the United States. Their research primarily focuses on engineering, with a significant emphasis on electrical and electronic engineering, control and systems engineering, automotive engineering, computer networks and communications, and management science and operations research.

The key topics in Steven H. Low's body of work include:

  • Optimal Power Flow Distribution
  • Power System Optimization and Stability
  • Smart Grid Energy Management
  • Electric Vehicles and Infrastructure
  • Microgrid Control and Optimization
  • Advanced Battery Technologies Research
  • Electric Power System Optimization

Steven H. Low has published extensively, with frequent contributions to venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Power Systems
  • IEEE Transactions on Control of Network Systems
  • Electric Power Systems Research

Some recent papers authored or co-authored by Steven H. Low include:

  • "Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges" (2022), IEEE Transactions on Smart Grid
  • "DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems" (2022), IEEE Systems Journal
  • "Inverse Power Flow Problem" (2022), IEEE Transactions on Control of Network Systems
  • "Pricing EV charging service with demand charge" (2020), Electric Power Systems Research
  • "DeepOPF-V: Solving AC-OPF Problems Efficiently" (2021), IEEE Transactions on Power Systems

The scientist often collaborates with peers such as Adam Wierman, Tongxin Li, Minghua Chen, Alessandro Zocca, and Guannan Qu, reflecting a network of frequent co-authorship.

Steven H. Low's work has received recognition in the form of fellowships, including:

  • ACM Fellow (2020) for theoretical foundations and real-world deployment of Internet congestion control and smart grid optimization
  • IEEE Fellow (2008) for contributions to internet congestion control

Best Publications

  • Optimization flow control—I: basic algorithm and convergence

    Steven H. Low;David E. Lapsley

  • FAST TCP: motivation, architecture, algorithms, performance

    David X. Wei;Cheng Jin;Steven H. Low;Sanjay Hegde

  • Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures

    Mung Chiang;S.H. Low;A.R. Calderbank;J.C. Doyle

  • REM: active queue management

    S. Athuraliya;S.H. Low;V.H. Li;Qinghe Yin

  • Branch Flow Model: Relaxations and Convexification—Part II

    Masoud Farivar;Steven H. Low

  • Optimal decentralized protocol for electric vehicle charging

    Lingwen Gan;Ufuk Topcu;Steven H. Low

  • Zero Duality Gap in Optimal Power Flow Problem

    Javad Lavaei;S. H. Low

  • Greening geographical load balancing

    Zhenhua Liu;Minghong Lin;Adam Wierman;Steven Low

  • A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems

    Daniel K. Molzahn;Florian Dorfler;Henrik Sandberg;Steven H. Low

  • Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence

    Steven H. Low

  • Optimal demand response based on utility maximization in power networks

    Na Li;Lijun Chen;Steven H. Low

  • Internet congestion control

    S.H. Low;F. Paganini;J.C. Doyle

  • A duality model of TCP and queue management algorithms

    Steven H. Low

  • MATE: MPLS adaptive traffic engineering

    A. Elwalid;C. Jin;S. Low;I. Widjaja

  • FAST TCP: motivation, architecture, algorithms, performance

    Cheng Jin;D.X. Wei;S.H. Low

  • Electronic marking and identification techniques to discourage document copying

    J.T. Brassil;S. Low;N.F. Maxemchuk;L. O'Gorman

  • Convex Relaxation of Optimal Power Flow—Part II: Exactness

    Steven H. Low

  • Cross-Layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks

    L. Chen;S. H. Low;M. Chiang;J. C. Doyle

  • Understanding TCP Vegas: a duality model

    Steven H. Low;Larry L. Peterson;Limin Wang

  • The "robust yet fragile" nature of the Internet

    John C. Doyle;David L. Alderson;Lun Li;Steven Low

  • Copyright protection for the electronic distribution of text documents

    J.T. Brassil;S. Low;N.F. Maxemchuk

  • REM: Active queue management*

    S. Athuraliya;V.H. Li;S.H. Low;Q. Yin

Frequent Co-Authors

John C. Doyle
John C. Doyle California Institute of Technology
Ufuk Topcu
Ufuk Topcu The University of Texas at Austin
Lachlan L. H. Andrew
Lachlan L. H. Andrew University of Melbourne
Shengwei Mei
Shengwei Mei Tsinghua University
Nicholas F. Maxemchuk
Nicholas F. Maxemchuk Columbia University
Na Li
Na Li Harvard University
Feng Liu
Feng Liu Tsinghua University
Mung Chiang
Mung Chiang Purdue University West Lafayette
Adam Wierman
Adam Wierman California Institute of Technology
K. Mani Chandy
K. Mani Chandy California Institute of Technology

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