World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
31977
World Ranking
7727
National Ranking
3334

Research.com Recognitions

  • 2020 - SIAM Fellow For contributions to theory and algorithms in signal processing, artificial neural networks, and distributed computing systems.
  • 2000 - IEEE Fellow For contributions to algorithms and theory of artificial neural networks in signal processing, and to theory and systems software for distributed and parallel computing.

Overview

George Cybenko is affiliated with Dartmouth College in the United States and specializes primarily in computer science, with a particular focus on artificial intelligence.

Their research spans several subfields including artificial intelligence, statistics and probability, and cognitive neuroscience. The main topics covered by their work involve Markov chains and Monte Carlo methods, natural language processing techniques, topic modeling, machine learning and algorithms, Bayesian methods and mixture models, algorithms and data compression, as well as neural dynamics and brain function.

George Cybenko's recent publications include:

  • "A Survey of Neural Networks and Formal Languages" (2020), published in arXiv (Cornell University)
  • "Analytic Properties of Trackable Weak Models" (2020), published in IEEE Transactions on Network Science and Engineering
  • "Analytic Properties of Trackable Weak Models" (2020), published in arXiv (Cornell University)
  • "Linear Algebra and Learning From Data [Bookshelf]" (2020), published in IEEE Control Systems
  • "TEL'M: Test and Evaluation of Language Models" (2024), published in arXiv (Cornell University)

Frequent coauthors in Cybenko's work include Joshua M. Ackerman, Mark Chilenski, Isaac Dekine, Piyush Kumar, and Gil Raz.

Publication venues that have featured Cybenko's work multiple times include arXiv (Cornell University), IEEE Transactions on Network Science and Engineering, IEEE Control Systems, and Proceedings of the AAAI Symposium Series.

Awards recognizing Cybenko's contributions include the SIAM Fellow distinction awarded in 2020 for work on theory and algorithms in signal processing, artificial neural networks, and distributed computing systems. They were also named an IEEE Fellow in 2000 for contributions to algorithms and theory of artificial neural networks in signal processing and for theory and systems software related to distributed and parallel computing.

Best Publications

  • Approximation by superpositions of a sigmoidal function

    George Cybenko

  • Dynamic load balancing for distributed memory multiprocessors

    G. Cybenko

  • Tracking a moving object with a binary sensor network

    Javed Aslam;Zack Butler;Florin Constantin;Valentino Crespi

  • How dynamic is the Web

    Brian E. Brewington;George Cybenko

  • Mobile Agents for Distributed Information Retrieval

    Brian Brewington;Robert Gray;Katsuhiro Moizumi;David Kotz

  • D'Agents: Security in a Multiple-Language, Mobile-Agent System

    Robert S. Gray;David Kotz;George Cybenko;Daniela Rus

  • Agent TCL: targeting the needs of mobile computers

    David Kotz;Robert Gray;Saurab Nog;Daniela Rus

  • Mobile Agents: Motivations and State-of-the-Art Systems

    Robert S. Gray;David Kotz;George Cybenko;Daniela Rus

  • The Numerical Stability of the Levinson-Durbin Algorithm for Toeplitz Systems of Equations

    George Cybenko

  • Detection of Covert Channel Encoding in Network Packet Delays

    Vincent Berk;Annarita Giani;George Cybenko

  • D'Agents: applications and performance of a mobile-agent system

    Robert S. Gray;George Cybenko;David Kotz;Ronald A. Peterson

  • Mobile agents for mobile computing

    Robert S. Gray;David Kotz;Saurab Nog;Daniela Rus

  • Keeping up with the changing Web

    B.E. Brewington;G. Cybenko

  • Ill-conditioning in neural network training problems

    S. Saarinen;R. Bramley;G. Cybenko

  • Supercomputer performance evaluation and the Perfect Benchmarks

    George Cybenko;Lyle Kipp;Lynn Pointer;David Kuck

  • Gossiping in minimal time

    David W. Krumme;George Cybenko;K. N. Venkataraman

  • Cognitive hacking: a battle for the mind

    G. Cybenko;A. Giani;P. Thompson

  • Analysis of distributed intrusion detection systems using Bayesian methods

    D.J. Burroughs;L.F. Wilson;G.V. Cybenko

  • Reducing quantum computations to elementary unitary operations

    G. Cybenko

  • Cybersecurity Strategies: The QuERIES Methodology

    L. Carin;G. Cybenko;J. Hughes

Frequent Co-Authors

David Kotz
David Kotz Dartmouth College
Sushil Jajodia
Sushil Jajodia George Mason University
Lawrence Carin
Lawrence Carin Duke University
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
Mahadev Satyanarayanan
Mahadev Satyanarayanan Carnegie Mellon University
Javed A. Aslam
Javed A. Aslam Northeastern University
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor
Jason Hong
Jason Hong Carnegie Mellon University
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas

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