World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
Switzerland
2026
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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
94
Citations
46262
World Ranking
478
National Ranking
13

Electronics and Electrical Engineering

D-Index
94
Citations
46226
World Ranking
244
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2018 - Member of the National Academy of Engineering For contributions to the theory and applications of adaptive signal processing.
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2001 - IEEE Fellow For contributions to adaptive filtering and estimation algorithms.

Overview

Ali H. Sayed is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. The primary field of research is Computer Science, with a focus spread across subfields such as Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Mechanics, and Management Science and Operations Research.

The researcher's work covers several central topics including:

  • Distributed Sensor Networks and Detection Algorithms
  • Distributed Control Multi-Agent Systems
  • Opinion Dynamics and Social Influence
  • Stochastic Gradient Optimization Techniques
  • Complex Network Analysis Techniques
  • Privacy-Preserving Technologies in Data
  • Sparse and Compressive Sensing Techniques

Frequent publication venues where Ali H. Sayed's research appears include:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Spectrum
  • IEEE Open Journal of Signal Processing
  • IEEE Transactions on Information Theory

The scientist has contributed to multiple papers of note, including:

  • "Revisiting correlation-based functional connectivity and its relationship with structural connectivity," 2020, Network Neuroscience
  • "Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning," 2020, IEEE Signal Processing Magazine
  • "On the Influence of Bias-Correction on Distributed Stochastic Optimization," 2020, IEEE Transactions on Signal Processing
  • "Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization," 2020, IEEE Transactions on Signal Processing
  • "Affine Combination of Diffusion Strategies Over Networks," 2020, IEEE Transactions on Signal Processing

Ali H. Sayed frequently collaborates with several coauthors, among them:

  • Stefan Vlaski
  • Mert Kayaalp
  • Vincenzo Matta
  • Virgínia Bordignon
  • Cecilia Metra

The researcher is also credited with book publications, notably a series titled Inference and Learning from Data, published by Cambridge University Press in 2022.

Recognitions include memberships and fellowships as follows:

  • Member of the National Academy of Engineering (2018) for contributions to the theory and applications of adaptive signal processing
  • Fellow of the American Association for the Advancement of Science (2012)
  • IEEE Fellow (2001) for contributions to adaptive filtering and estimation algorithms

Best Publications

  • Fundamentals of adaptive filtering

    Ali H. Sayed

  • Network-based wireless location: challenges faced in developing techniques for accurate wireless location information

    A.H. Sayed;A. Tarighat;N. Khajehnouri

  • Adaptive Filters

    Ali H. Sayed

  • Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks

    Zhi Quan;Shuguang Cui;A.H. Sayed

  • Diffusion LMS Strategies for Distributed Estimation

    F.S. Cattivelli;A.H. Sayed

  • Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis

    C.G. Lopes;A.H. Sayed

  • A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels

    M. Sadek;A. Tarighat;A.H. Sayed

  • Diffusion Strategies for Distributed Kalman Filtering and Smoothing

    F S Cattivelli;A H Sayed

  • Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks

    Zhi Quan;Shuguang Cui;A.H. Sayed;H.V. Poor

  • Incremental Adaptive Strategies Over Distributed Networks

    C.G. Lopes;A.H. Sayed

  • Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks

    Jianshu Chen;Ali H. Sayed

  • Variable step-size NLMS and affine projection algorithms

    Hyun-Chool Shin;A.H. Sayed;Woo-Jin Song

  • Diffusion recursive least-squares for distributed estimation over adaptive networks

    F.S. Cattivelli;C.G. Lopes;A.H. Sayed

  • A state-space approach to adaptive RLS filtering

    A.H. Sayed;T. Kailath

  • Adaptation, Learning, and Optimization Over Networks

    Ali Sayed

  • Indefinite-quadratic estimation and control: a unified approach to H 2 and H ∞ theories

    Babak Hassibi;Ali H. Sayed;Thomas Kailath

  • Displacement structure: theory and applications

    Thomas Kailath;Ali H. Sayed

  • Multi-input multi-output fading channel tracking and equalization using Kalman estimation

    C. Komninakis;C. Fragouli;A.H. Sayed;R.D. Wesel

  • Adaptive Networks

    Ali H. Sayed

  • Mean-square performance of a convex combination of two adaptive filters

    J. Arenas-Garcia;A.R. Figueiras-Vidal;A.H. Sayed

Frequent Co-Authors

Thomas Kailath
Thomas Kailath Stanford University
Babak Hassibi
Babak Hassibi California Institute of Technology
Cedric Richard
Cedric Richard Université Côte d'Azur
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Tareq Y. Al-Naffouri
Tareq Y. Al-Naffouri King Abdullah University of Science and Technology
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Paolo Braca
Paolo Braca North Atlantic Treaty Organization

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