World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
9585
World Ranking
8247
National Ranking
2274

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to robust control and communication networks

Overview

Fernando Paganini is affiliated with the University of California, Los Angeles in the United States. Their research primarily falls within the field of Engineering, with a focus on Electrical and Electronic Engineering, Automotive Engineering, Computer Networks and Communications, Control and Systems Engineering, and Infectious Diseases.

The main topics of their work cover:

  • Electric Vehicles and Infrastructure
  • Transportation and Mobility Innovations
  • Advanced Battery Technologies Research
  • Smart Grid Energy Management
  • Electric and Hybrid Vehicle Technologies
  • Advanced Queuing Theory Analysis
  • Cloud Computing and Resource Management

Recent publications by Fernando Paganini include:

  • "An effective COVID-19 response in South America: the Uruguayan Conundrum," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Accurate Reduced-Order Models for Heterogeneous Coherent Generators," 2020, IEEE Control Systems Letters
  • "Proximal Regularization for the Saddle Point Gradient Dynamics," 2020, IEEE Transactions on Automatic Control
  • "Optimization of spatial infrastructure for EV charging," 2022, 2022 IEEE 61st Conference on Decision and Control (CDC)
  • "Respect the Unstable: Delays and Saturation in Contact Tracing for Disease Control," 2022, SIAM Journal on Control and Optimization

Frequent co-authors collaborating with Paganini include:

  • Andrés Ferragut
  • Diego Goldsztajn
  • Enrique Mallada
  • Lucas Narbondo
  • Matías Carrasco

They have published multiple papers in venues such as:

  • ACM SIGMETRICS Performance Evaluation Review
  • arXiv (Cornell University)
  • Performance Evaluation
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Control Systems Letters

In 2014, Fernando Paganini was named an IEEE Fellow for contributions to robust control and communication networks.

Best Publications

  • A Course in Robust Control Theory: A Convex Approach

    Geir E. Dullerud;Fernando G. Paganini

  • Internet congestion control

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

  • Distributed control of spatially invariant systems

    B. Bamieh;F. Paganini;M.A. Dahleh

  • A Course in Robust Control Theory

    Geir E. Dullerud;Fernando Paganini

  • Dynamics of TCP/RED and a scalable control

    S.H. Low;F. Paganini;Jiantao Wang;S. Adlakha

  • Scalable laws for stable network congestion control

    F. Paganini;J. Doyle;S. Low

  • Stability of primal-dual gradient dynamics and applications to network optimization

    Diego Feijer;Fernando Paganini

  • Congestion control for high performance, stability, and fairness in general networks

    Fernando Paganini;Zhikui Wang;John C. Doyle;Steven H. Low

  • FAST TCP: from theory to experiments

    Cheng Jin;D. Wei;S.H. Low;J. Bunn

  • Linear stability of TCP/RED and a scalable control

    Steven H. Low;Fernando Paganini;Jiantao Wang;John C. Doyle

  • A global stability result in network flow control

    Fernando Paganini

  • A new TCP/AQM for stable operation in fast networks

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

  • Global stability with time-delay in network congestion control

    Zhikui Wang;F. Paganini

  • Game theoretic approach to power control in cellular CDMA

    Sarma Gunturi;F. Paganini

  • A set-based approach for white noise modeling

    F. Paganini

  • Convex synthesis of controllers for consensus

    G.A. de Castro;F. Paganini

  • Convex synthesis of localized controllers for spatially invariant systems

    Gustavo Ayres De Castro;Fernando Paganini

  • Structured coprime factor model reduction based on LMIs

    Li Li;Fernando Paganini

  • Sets and constraints in the analysis of uncertain systems

    Fernando Paganini

  • Model reduction for analysis of cascading failures in power systems

    P.A. Parrilo;S. Lall;F. Paganini;G.C. Verghese

Frequent Co-Authors

John C. Doyle
John C. Doyle California Institute of Technology
Geir E. Dullerud
Geir E. Dullerud University of Illinois at Urbana-Champaign
Steven H. Low
Steven H. Low California Institute of Technology
Zhikui Wang
Zhikui Wang Hewlett-Packard (United States)
Bassam Bamieh
Bassam Bamieh University of California, Santa Barbara
Sanjay Lall
Sanjay Lall Stanford University
Lachlan L. H. Andrew
Lachlan L. H. Andrew University of Melbourne
Mario Gerla
Mario Gerla University of California, Los Angeles

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