World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9962
World Ranking
7864
National Ranking
3400

Research.com Recognitions

  • 2011 - IEEE Richard W. Hamming Medal “For contributions to Information Theory, including source coding and its applications.”
  • 2006 - Member of the National Academy of Engineering For contributions to the theory and practice of lossy data compression.
  • 2002 - IEEE Claude E. Shannon Award
  • 1975 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Toby Berger was affiliated with the University of Virginia in the United States. Their research centered primarily on engineering, with a strong focus on control and systems engineering as well as related subfields including numerical analysis, computational theory and mathematics, electrical and electronic engineering, and computer networks and communications.

Their scholarly output included contributions to a range of topics within control systems, such as advanced control systems optimization, adaptive control of nonlinear systems, stability and control of uncertain systems, and the stability and controllability of differential equations. They also researched iterative learning control systems, fault detection and control systems, and the control and stability of dynamical systems.

Toby Berger published their research in multiple venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • Automatica
  • SIAM Journal on Control and Optimization
  • IEEE Transactions on Automatic Control
  • IEEE Control Systems Letters

They collaborated regularly with colleagues including Lukas Lanza, Dario Dennstädt, Karl Worthmann, Juhi Jaiswal, and Nutan Kumar Tomar.

Some of their recent research publications are as follows:

  • Input-Constrained Funnel Control of Nonlinear Systems (2024), IEEE Transactions on Automatic Control
  • Funnel Model Predictive Control for Nonlinear Systems with Relative Degree One (2022), SIAM Journal on Control and Optimization
  • Feedback Control of the COVID-19 Pandemic with Guaranteed Non-Exceeding ICU Capacity (2021), Systems & Control Letters
  • Artificial Intelligence in B2B Sales: Impact on the Sales Process (2022), AHFE International
  • Funnel MPC for Nonlinear Systems with Arbitrary Relative Degree (2024), Automatica

Throughout their career, Berger received several notable recognitions, including the IEEE Richard W. Hamming Medal in 2011 for contributions to information theory and source coding, membership in the National Academy of Engineering in 2006 for work on lossy data compression, the IEEE Claude E. Shannon Award in 2002, and a fellowship from the John Simon Guggenheim Memorial Foundation in 1975.

Best Publications

  • Rate distortion theory : a mathematical basis for data compression

    Toby Berger

  • Rate-Distortion Theory

    Toby Berger

  • The CEO problem [multiterminal source coding]

    T. Berger;Zhen Zhang;H. Viswanathan

  • The quadratic Gaussian CEO problem

    H. Viswanathan;T. Berger

  • Reliable online human signature verification systems

    L.L. Lee;T. Berger;E. Aviczer

  • Digital Compression for Multimedia: Principles & Standards

    Jerry D. Gibson;Toby Berger;Tom Lookabaugh;Dave Lindbergh

  • Low-entanglement remote state preparation.

    Igor Devetak;Toby Berger

  • Optimum pulse amplitude modulation--I: Transmitter-receiver design and bounds from information theory

    T. Berger;D. Tufts

  • New results in binary multiple descriptions

    Unknown

  • Optimum quantizers and permutation codes

    T. Berger

  • Rate-distortion for correlated sources with partially separated encoders

    A. Kaspi;T. Berger

  • An upper bound on the sum-rate distortion function and its corresponding rate allocation schemes for the CEO problem

    Jun Chen;Xin Zhang;T. Berger;S.B. Wicker

  • Random Multiple-Access Communication and Group Testing

    T. Berger;N. Mehravari;D. Towsley;J. Wolf

  • Multiterminal source encoding with one distortion criterion

    T. Berger;R.W. Yeung

  • Lossy source coding

    T. Berger;J.D. Gibson

  • Permutation codes for sources

    T. Berger;F. Jelinek;J. Wolf

  • The capacity of finite-State Markov Channels With feedback

    Unknown

  • Adaptive method and system for real time verification of dynamic human signatures

    Luan L. Lee;Toby Berger

  • Multiterminal source coding with high resolution

    R. Zamir;T. Berger

  • Estimation via compressed information

    Z. Zhang;T. Berger

  • Fixed-slope universal lossy data compression

    En-hui Yang;Zhen Zhang;T. Berger

  • Minimum entropy quantizers and permutation codes

    T. Berger

Frequent Co-Authors

Jerry D. Gibson
Jerry D. Gibson University of California, Santa Barbara
Jack K. Wolf
Jack K. Wolf University of California, San Diego
Harish Viswanathan
Harish Viswanathan Nokia (United States)
Ram Zamir
Ram Zamir Tel Aviv University
Frederick Jelinek
Frederick Jelinek Johns Hopkins University
Alon Orlitsky
Alon Orlitsky University of California, San Diego
Raymond W. Yeung
Raymond W. Yeung Chinese University of Hong Kong
Don Towsley
Don Towsley University of Massachusetts Amherst

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