World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
11258
World Ranking
4017
National Ranking
1436

Overview

Fabio Pasqualetti is affiliated with the University of California, Riverside in the United States. Their research spans the fields of engineering and computer science, with particular contributions to control and systems engineering, cognitive neuroscience, artificial intelligence, computer networks and communications, and molecular biology.

The scientist has explored a range of main topics including neural dynamics and brain function, fault detection and control systems, nonlinear dynamics and pattern formation, control systems and identification, functional brain connectivity studies, advanced control systems optimization, and smart grid security and resilience.

Fabio Pasqualetti has published extensively, contributing to prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • IEEE Control Systems Letters
  • IEEE Transactions on Control Systems Technology
  • IEEE Open Journal of Control Systems

Among recent papers authored or coauthored by Fabio Pasqualetti are:

  • Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia, 2021, Nature Communications
  • Data-driven control of complex networks, 2021, Nature Communications
  • Optimization of energy state transition trajectory supports the development of executive function during youth, 2020, eLife
  • Time-evolving controllability of effective connectivity networks during seizure progression, 2021, Proceedings of the National Academy of Sciences
  • Models of communication and control for brain networks: distinctions, convergence, and future outlook, 2020, Network Neuroscience

Frequent coauthors of Fabio Pasqualetti include:

  • Danielle S. Bassett
  • Eric C. Kerrigan
  • Magnus Egerstedt
  • Maria Elena Valcher
  • Rodolphe Sepulchre

Best Publications

  • Attack Detection and Identification in Cyber-Physical Systems

    Fabio Pasqualetti;Florian Dorfler;Francesco Bullo

  • Controllability of structural brain networks.

    Shi Gu;Fabio Pasqualetti;Matthew Cieslak;Qawi K. Telesford

  • Controllability Metrics, Limitations and Algorithms for Complex Networks

    Fabio Pasqualetti;Sandro Zampieri;Francesco Bullo

  • Consensus Computation in Unreliable Networks: A System Theoretic Approach

    F. Pasqualetti;A. Bicchi;F. Bullo

  • Control-Theoretic Methods for Cyberphysical Security: Geometric Principles for Optimal Cross-Layer Resilient Control Systems

    Fabio Pasqualetti;Florian Dorfler;Francesco Bullo

  • Optimally controlling the human connectome: the role of network topology.

    Richard F. Betzel;Shi Gu;John D. Medaglia;Fabio Pasqualetti

  • Stimulation-Based Control of Dynamic Brain Networks

    Sarah Feldt Muldoon;Sarah Feldt Muldoon;Sarah Feldt Muldoon;Fabio Pasqualetti;Shi Gu;Matthew Cieslak

  • Cyber-physical attacks in power networks: Models, fundamental limitations and monitor design

    Fabio Pasqualetti;Florian Dorfler;Francesco Bullo

  • Dynamic Load Altering Attacks Against Power System Stability: Attack Models and Protection Schemes

    Sajjad Amini;Fabio Pasqualetti;Hamed Mohsenian-Rad

  • Data-injection attacks in stochastic control systems: Detectability and performance tradeoffs

    Cheng-Zong Bai;Fabio Pasqualetti;Vijay Gupta

  • On Cooperative Patrolling: Optimal Trajectories, Complexity Analysis, and Approximation Algorithms

    F. Pasqualetti;A. Franchi;F. Bullo

  • Brain and cognitive reserve: Translation via network control theory.

    John Dominic Medaglia;Fabio Pasqualetti;Roy H. Hamilton;Sharon L. Thompson-Schill

  • On Kalman Filtering with Compromised Sensors: Attack Stealthiness and Performance Bounds

    Cheng-Zong Bai;Vijay Gupta;Fabio Pasqualetti

  • Role of graph architecture in controlling dynamical networks with applications to neural systems

    Jason Z. Kim;Jonathan M. Soffer;Ari E. Kahn;Jean M. Vettel

  • White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions

    Jennifer Stiso;Ankit N. Khambhati;Tommaso Menara;Ari E. Kahn

  • Data-driven control of complex networks

    Giacomo Baggio;Danielle S. Bassett;Fabio Pasqualetti

  • Security in stochastic control systems: Fundamental limitations and performance bounds

    Cheng-Zong Bai;Fabio Pasqualetti;Vijay Gupta

  • Distributed estimation via iterative projections with application to power network monitoring

    Fabio Pasqualetti;Ruggero Carli;Francesco Bullo

  • The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure.

    Shi Gu;Matthew Cieslak;Benjamin Baird;Sarah F. Muldoon

  • Cooperative Patrolling via Weighted Tours: Performance Analysis and Distributed Algorithms

    F. Pasqualetti;J. W. Durham;F. Bullo

  • Distributed intrusion detection for secure consensus computations

    F. Pasqualetti;A. Bicchi;F. Bullo

Frequent Co-Authors

Francesco Bullo
Francesco Bullo University of California, Santa Barbara
Sandro Zampieri
Sandro Zampieri University of Padua
Richard F. Betzel
Richard F. Betzel Indiana University
Antonio Bicchi
Antonio Bicchi Italian Institute of Technology
Vijay Gupta
Vijay Gupta Purdue University West Lafayette
Raquel E. Gur
Raquel E. Gur University of Pennsylvania
Ming Cao
Ming Cao University of Groningen
Antonio Franchi
Antonio Franchi University of Twente
Brian D. O. Anderson
Brian D. O. Anderson Australian National University

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