World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
46983
World Ranking
1115
National Ranking
595

Electronics and Electrical Engineering

D-Index
78
Citations
46394
World Ranking
563
National Ranking
253

Research.com Recognitions

  • 2019 - Member of the National Academy of Engineering For contributions to space-time coding and its applications to multi-antenna wireless communications.
  • 2013 - IEEE Eric E. Sumner Award "For contributions to block signaling for multiple antennas "
  • 2011 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2001 - National Science Foundation Alan T. Waterman Award Wireless Communications

Overview

Vahid Tarokh is affiliated with Duke University in the United States. Their research contributions mainly span the field of Computer Science, with a specific focus on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Aerospace Engineering.

The scientist's work covers significant topics such as Model Reduction and Neural Networks, Neural Networks and Applications, Generative Adversarial Networks and Image Synthesis, Statistical Methods and Inference, Domain Adaptation and Few-Shot Learning, Neural Dynamics and Brain Function, alongside Gaussian Processes and Bayesian Inference.

Frequent collaborators include Juncheng Dong, Enmao Diao, Jie Ding, Suya Wu, and Taposh Banerjee, indicating a network of coauthors who have contributed jointly on numerous occasions.

Publication venues commonly showcasing Tarokh's work include:

  • arXiv (Cornell University)
  • IEEE Access
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Information Theory
  • SSRN Electronic Journal

Recent published papers illustrate their current research orientations:

  • "HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients," 2020, arXiv (Cornell University)
  • "SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training," 2021, arXiv (Cornell University)
  • "CNN-Based Joint SNR and Doppler Shift Classification Using Spectrogram Images for Adaptive Modulation and Coding," 2021, IEEE Transactions on Communications
  • "Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency," 2020, OPAL (Open@LaTrobe) (La Trobe University)
  • "Dimension reduced turbulent flow data from deep vector quantisers," 2022, Journal of Turbulence

Throughout their career, Tarokh has received several awards including:

  • Member of the National Academy of Engineering (2019) for contributions to space-time coding and its applications to multi-antenna wireless communications
  • IEEE Eric E. Sumner Award (2013) for contributions to block signaling for multiple antennas
  • Fellow of John Simon Guggenheim Memorial Foundation (2011)
  • National Science Foundation Alan T. Waterman Award (2001) for Wireless Communications

Best Publications

  • Space-time codes for high data rate wireless communication: performance criterion and code construction

    V. Tarokh;N. Seshadri;A.R. Calderbank

  • Space-time block codes from orthogonal designs

    V. Tarokh;H. Jafarkhani;A.R. Calderbank

  • Space-time block coding for wireless communications: performance results

    V. Tarokh;H. Jafarkhani;A.R. Calderbank

  • Achievable rates in cognitive radio channels

    N. Devroye;P. Mitran;V. Tarokh

  • A differential detection scheme for transmit diversity

    V. Tarokh;H. Jafarkhani

  • Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths

    V. Tarokh;A. Naguib;N. Seshadri;A.R. Calderbank

  • Space-time coded OFDM for high data-rate wireless communication over wideband channels

    D. Agrawal;V. Tarokh;A. Naguib;N. Seshadri

  • Multiple-antenna channel hardening and its implications for rate feedback and scheduling

    B.M. Hochwald;T.L. Marzetta;V. Tarokh

  • Combined array processing and space-time coding

    V. Tarokh;A. Naguib;N. Seshadri;A.R. Calderbank

  • Collaborative beamforming for distributed wireless ad hoc sensor networks

    H. Ochiai;P. Mitran;H.V. Poor;V. Tarokh

  • A space-time coding modem for high-data-rate wireless communications

    A.F. Naguib;V. Tarokh;N. Seshadri;A.R. Calderbank

  • Optimized constellations for two-way wireless relaying with physical network coding

    T. Koike-Akino;P. Popovski;V. Tarokh

  • Performance Bounds for Bidirectional Coded Cooperation Protocols

    Sang Joon Kim;P. Mitran;V. Tarokh

  • Measurement and modeling of an ultra-wide bandwidth indoor channel

    S.S. Ghassemzadeh;R. Jana;C.W. Rice;W. Turin

  • On the existence and construction of good codes with low peak-to-average power ratios

    K.G. Paterson;V. Tarokh

  • On the computation and reduction of the peak-to-average power ratio in multicarrier communications

    V. Tarokh;H. Jafarkhani

  • Multiple transmit antenna differential detection from generalized orthogonal designs

    H. Jafarkhani;V. Tarokh

  • Model Selection Techniques -- An Overview

    Jie Ding;Vahid Tarokh;Yuhong Yang

  • A statistical path loss model for in-home UWB channels

    S.S. Ghassemzadeh;R. Jana;C.W. Rice;W. Turin

  • Transmitter diversity technique for wireless communications

    Siavash Alamouti;Vahid Tarokh

  • Cognitive radio networks

    N. Devroye;M. Vu;V. Tarokh

  • On the degrees-of-freedom of the MIMO interference channel

    P.A. Parker;D.W. Bliss;V. Tarokh

Frequent Co-Authors

Hamid Jafarkhani
Hamid Jafarkhani University of California, Irvine
Ayman Fawzy Naguib
Ayman Fawzy Naguib Qualcomm (United States)
Toshiaki Koike-Akino
Toshiaki Koike-Akino Mitsubishi Electric (United States)
Bijan Pesaran
Bijan Pesaran New York University
Na Li
Na Li Harvard University
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Larry J. Greenstein
Larry J. Greenstein Rutgers, The State University of New Jersey
A.R. Calderbank
A.R. Calderbank Duke University
Yingbin Liang
Yingbin Liang The Ohio State University
Petar Popovski
Petar Popovski Aalborg University

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