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Electronics and Electrical Engineering
Netherlands
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
72
Citations
25771
World Ranking
794
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award
  • 2012 - IEEE Fellow For contributions to signal processing for communications

Overview

Geert Leus is affiliated with Delft University of Technology in the Netherlands, where their research primarily spans engineering and computer science domains. Their work has a particular focus on signal processing and related technical fields.

Their research interests encompass a broad array of specialized topics including:

  • Advanced Graph Neural Networks
  • Sparse and Compressive Sensing Techniques
  • Complex Network Analysis Techniques
  • Direction-of-Arrival Estimation Techniques
  • Speech and Audio Processing
  • Radar Systems and Signal Processing
  • Topological and Geometric Data Analysis

Leus has contributed to multiple subfields such as electrical and electronic engineering, artificial intelligence, signal processing, computational mechanics, and aerospace engineering. Their scholarly output reflects a consistent engagement with areas at the intersection of theoretical signal processing and practical application development.

Key frequent co-authors collaborating with Leus include:

  • Elvin Isufi
  • Mario Coutiño
  • Alberto Natali
  • Richard Heusdens
  • Pieter Kruizinga

Their work has been published in a range of venues, indicating a strong presence in signal processing communities. Notable publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Signal Processing
  • IEEE Open Journal of Signal Processing
  • IEEE Signal Processing Letters

Among their recent publications are:

  • "Graph Signal Processing: History, development, impact, and outlook", 2023, IEEE Signal Processing Magazine
  • "Computational Array Signal Processing via Modulo Non-Linearities", 2022, IEEE Transactions on Signal Processing
  • "Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays", 2021, IEEE Transactions on Signal Processing
  • "Simplicial Convolutional Neural Networks", 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Graphon Filters: Graph Signal Processing in the Limit", 2021, IEEE Transactions on Signal Processing

Geert Leus was recognized as an IEEE Fellow in 2012 for contributions to signal processing for communications.

Best Publications

  • Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

    Ahmed Alkhateeb;Omar El Ayach;Geert Leus;Robert W. Heath

  • Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems

    Ahmed Alkhateeb;Geert Leus;Robert W. Heath

  • Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances

    E. Axell;G. Leus;E. G. Larsson;H. V. Poor

  • Optimal training design for MIMO OFDM systems in mobile wireless channels

    I. Barhumi;G. Leus;M. Moonen

  • Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems

    Zijian Tang;R.C. Cannizzaro;G. Leus;P. Banelli

  • Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling

    Hao Zhu;Geert Leus;Georgios B Giannakis

  • Hybrid precoding for millimeter wave cellular systems with partial channel knowledge

    A. Alkhateeb;O. El Ayach;G. Leus;Robert W. Heath

  • Energy-Efficient Distributed Spectrum Sensing for Cognitive Sensor Networks

    S Maleki;A Pandharipande;G Leus

  • Compressive wide-band spectrum sensing

    Yvan Lamelas Polo;Ying Wang;Ashish Pandharipande;Geert Leus

  • Noncoherent ultra-wideband systems

    K. Witrisal;G. Leus;G. Janssen;M. Pausini

  • Convolutional Neural Network Architectures for Signals Supported on Graphs

    Fernando Gama;Antonio G. Marques;Geert Leus;Alejandro Ribeiro

  • Simple equalization of time-varying channels for OFDM

    L. Rugini;P. Banelli;G. Leus

  • Compressed sensing based multi-user millimeter wave systems: How many measurements are needed?

    Ahmed Alkhateeby;Geert Leusz;Robert W. Heath

  • Per tone equalization for DMT-based systems

    K. Van Acker;G. Leus;M. Moonen;O. van de Wiel

  • Sparsity-Promoting Sensor Selection for Non-Linear Measurement Models

    Sundeep Prabhakar Chepuri;Geert Leus

  • Sampling of Graph Signals With Successive Local Aggregations

    Antonio G. Marques;Santiago Segarra;Geert Leus;Alejandro Ribeiro

  • Autoregressive Moving Average Graph Filtering

    Elvin Isufi;Andreas Loukas;Andrea Simonetto;Geert Leus

  • Compressive Wideband Power Spectrum Estimation

    D. D. Ariananda;G. Leus

  • Stationary Graph Processes and Spectral Estimation

    Antonio G. Marques;Santiago Segarra;Geert Leus;Alejandro Ribeiro

  • Distributed Maximum Likelihood Sensor Network Localization

    Andrea Simonetto;Geert Leus

  • On the estimation of rapidly time-varying channels

    Geert Leus

Frequent Co-Authors

Marc Moonen
Marc Moonen KU Leuven
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Alejandro Ribeiro
Alejandro Ribeiro University of Pennsylvania
Zhi Tian
Zhi Tian George Mason University
Robert W. Heath
Robert W. Heath University of California, San Diego
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Ashish Pandharipande
Ashish Pandharipande Eindhoven University of Technology
Ahmed Alkhateeb
Ahmed Alkhateeb Arizona State University
Shengli Zhou
Shengli Zhou University of Connecticut
Aryan Mokhtari
Aryan Mokhtari The University of Texas at Austin

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