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Georgios B. Giannakis

Georgios B. Giannakis

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Computer Science
USA
2026
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Computer Science

D-Index
159
Citations
92614
World Ranking
22
National Ranking
12

Electronics and Electrical Engineering

D-Index
156
Citations
90056
World Ranking
11
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2020 - Member of the European Academy of Sciences
  • 2020 - Member of Academia Europaea
  • 2019 - Fellow, National Academy of Inventors
  • 2015 - IEEE Fourier Award for Signal Processing “For contributions to the theory and practice of statistical signal processing and its applications to wireless communications.”

Overview

Georgios B. Giannakis is affiliated with the University of Minnesota in the United States. Their research spans multiple domains within Computer Science and Engineering, emphasizing intersections of Artificial Intelligence, Electrical and Electronic Engineering, and Computational Mechanics.

The scientist's recent publications cover several topics in federated learning, deep neural networks, reinforcement learning, and wireless power transfer. Notable papers include:

  • "Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks" (2020), IEEE Transactions on Signal Processing
  • "Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning" (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Learning to Solve the AC-OPF Using Sensitivity-Informed Deep Neural Networks" (2021), IEEE Transactions on Power Systems
  • "Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning" (2021), IEEE Transactions on Control of Network Systems
  • "Safety Analysis of Long-Range and High-Power Wireless Power Transfer Using Resonant Beam" (2021), IEEE Transactions on Signal Processing

Their research production is strongly focused on several main fields and subfields of study, including:

  • Computer Science
  • Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computational Mechanics
  • Management Science and Operations Research

Frequent topics of scientific work include:

  • Gaussian Processes and Bayesian Inference
  • Advanced Bandit Algorithms Research
  • Stochastic Gradient Optimization Techniques
  • Sparse and Compressive Sensing Techniques
  • Energy Harvesting in Wireless Networks
  • Advanced Graph Neural Networks
  • Machine Learning and Data Classification

Key frequent co-authors in research collaborations are:

  • Qin Lu
  • Bingcong Li
  • Konstantinos D. Polyzos
  • Alireza Sadeghi
  • Qingwen Liu

Georgios B. Giannakis has contributed extensively to well-known publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Wireless Communications
  • Proceedings of the AAAI Conference on Artificial Intelligence

The scientist has been recognized by several professional institutions and has received awards including:

  • Member of Academia Europaea (2020)
  • Member of the European Academy of Sciences (2020)
  • Fellow, National Academy of Inventors (2019)
  • IEEE Fourier Award for Signal Processing (2015) "For contributions to the theory and practice of statistical signal processing and its applications to wireless communications."

Best Publications

  • Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks

    S. Gezici;Zhi Tian;G.B. Giannakis;H. Kobayashi

  • Wireless multicarrier communications

    Zhendao Wang;G.B. Giannakis

  • Ultra-wideband communications: an idea whose time has come

    Liuqing Yang;G.B. Giannakis

  • A simple and general parameterization quantifying performance in fading channels

    Zhengdao Wang;G.B. Giannakis

  • Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links

    Qingwen Liu;Shengli Zhou;G.B. Giannakis

  • Cyclic prefixing or zero padding for wireless multicarrier transmissions

    B. Muquet;Zhengdao Wang;G.B. Giannakis;M. de Courville

  • Optimal designs for space-time linear precoders and decoders

    A. Scaglione;P. Stoica;S. Barbarossa;G.B. Giannakis

  • Statistical tests for presence of cyclostationarity

    A.V. Dandawate;G.B. Giannakis

  • Symbol error probabilities for general Cooperative links

    A. Ribeiro;Xiaodong Cai;G.B. Giannakis

  • Compressed Sensing for Wideband Cognitive Radios

    Zhi Tian;G.B. Giannakis

  • Redundant filterbank precoders and equalizers. I. Unification and optimal designs

    A. Scaglione;G.B. Giannakis;S. Barbarossa

  • Robust Energy Management for Microgrids With High-Penetration Renewables

    Yu Zhang;Nikolaos Gatsis;Georgios B. Giannakis

  • Distributed Optimal Power Flow for Smart Microgrids

    Emiliano Dall'Anese;Hao Zhu;Georgios B. Giannakis

  • High-Performance Cooperative Demodulation With Decode-and-Forward Relays

    Tairan Wang;A. Cano;G.B. Giannakis;J.N. Laneman

  • Consensus in Ad Hoc WSNs With Noisy Links— Part I: Distributed Estimation of Deterministic Signals

    I.D. Schizas;A. Ribeiro;G.B. Giannakis

  • A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios

    Zhi Tian;Georgios B. Giannakis

  • Parallel factor analysis in sensor array processing

    N.D. Sidiropoulos;R. Bro;G.B. Giannakis

  • Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels

    G.B. Giannakis;C. Tepedelenlioglu

  • Blind PARAFAC receivers for DS-CDMA systems

    N.D. Sidiropoulos;G.B. Giannakis;R. Bro

  • Identification of nonminimum phase systems using higher order statistics

    G.B. Giannakis;J.M. Mendel

Frequent Co-Authors

Shengli Zhou
Shengli Zhou University of Connecticut
Xin Wang
Xin Wang Fudan University
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Alejandro Ribeiro
Alejandro Ribeiro University of Pennsylvania
Liuqing Yang
Liuqing Yang Hong Kong University of Science and Technology
Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome
Geert Leus
Geert Leus Delft University of Technology
Anna Scaglione
Anna Scaglione Cornell University
Zhi Tian
Zhi Tian George Mason University
Erchin Serpedin
Erchin Serpedin Texas A&M University

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