World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
23092
World Ranking
2692
National Ranking
78

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Boualem Boashash is affiliated with the University of Queensland in Australia. Their research primarily spans across multiple disciplines with a strong focus on Neuroscience and Engineering.

The main fields of study covered in their work include:

  • Neuroscience
  • Engineering

They have contributed extensively to several subfields, such as:

  • Cognitive Neuroscience
  • Biomedical Engineering
  • Pediatrics, Perinatology and Child Health
  • Signal Processing
  • Control and Systems Engineering

The prominent topics related to Boashash's research include:

  • Non-Invasive Vital Sign Monitoring
  • Neonatal and fetal brain pathology
  • Blind Source Separation Techniques
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Machine Fault Diagnosis Techniques

Recent publications demonstrate an interdisciplinary approach linking signal processing techniques with biomedical applications and brain studies. Notable papers include:

  • Design of an Optimal Piece-Wise Spline Wigner-Ville Distribution for TFD Performance Evaluation and Comparison, 2021, IEEE Transactions on Signal Processing
  • Automatic fetal movement recognition from multi-channel accelerometry data, 2021, Computer Methods and Programs in Biomedicine
  • Neonatal EEG seizure detection using a new signal structural complexity measure based on matching pursuit decomposition with nonstationary dictionary, 2022, Computer Methods and Programs in Biomedicine
  • Identifying Emergent Mesoscopic-Macroscopic Functional Brain Network Dynamics in Infants at Term-Equivalent Age with Electric Source Neuroimaging, 2021, Brain Connectivity

Boashash frequently publishes in venues including:

  • Computer Methods and Programs in Biomedicine
  • IEEE Transactions on Signal Processing
  • Brain Connectivity

Frequent collaborators in their research activities include:

  • Paul B. Colditz
  • Mohammad Al-Sa'd
  • Mostefa Mesbah
  • Mohamed Salah Khlif
  • Moncef Gabbouj

Best Publications

  • Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals

    B. Boashash

  • Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications

    B. Boashash

  • Time-Frequency Signal Analysis and Processing: A Comprehensive Reference

    Boualem Boashash

  • A human identification technique using images of the iris and wavelet transform

    W.W. Boles;B. Boashash

  • The bootstrap and its application in signal processing

    A.M. Zoubir;B. Boashash

  • Estimating and Interpreting The Instantaneous Frequency of a Signal

    B. Boashash

  • An efficient real-time implementation of the Wigner-Ville distribution

    B. Boashash;P. Black

  • 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

    Osama Abdeljaber;Onur Avci;Mustafa Serkan Kiranyaz;Boualem Boashash;Boualem Boashash

  • Time-Frequency Signal Analysis and Processing

    Boualem Boashash

  • Note on the use of the Wigner distribution for time-frequency signal analysis

    B. Boashash

  • Polynomial Wigner-Ville distributions and their relationship to time-varying higher order spectra

    B. Boashash;P. O'Shea

  • Time-Frequency Signal Analysis: Methods and Applications.

    Boualem Boashash

  • Time-frequency features for pattern recognition using high-resolution TFDs

    Boualem Boashash;Nabeel Ali Khan;Taoufik Ben-Jabeur

  • A high-resolution quadratic time-frequency distribution for multicomponent signals analysis

    B. Barkat;B. Boashash

  • A methodology for detection and classification of some underwater acoustic signals using time-frequency analysis techniques

    B. Boashash;P. O'Shea

  • Signal enhancement by time-frequency peak filtering

    B. Boashash;M. Mesbah

  • IF estimation for multicomponent signals using image processing techniques in the time-frequency domain

    L. Rankine;M. Mesbah;B. Boashash

  • Adaptive instantaneous frequency estimation of multicomponent FM signals using quadratic time-frequency distributions

    Z.M. Hussain;B. Boashash

  • Comments on "The Cramer-Rao lower bounds for signals with constant amplitude and polynomial phase

    B. Ristic;B. Boashash

  • Cross spectral analysis of nonstationary processes

    L.B. White;B. Boashash

  • Separating more sources than sensors using time-frequency distributions

    Nguyen Linh-Trung;Adel Belouchrani;Karim Abed-Meraim;Boualem Boashash

  • Time-frequency feature extraction of newborn EEG seizure using SVD-based techniques

    Hamid Hassanpour;Mostefa Mesbah;Boualem Boashash

Frequent Co-Authors

Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Branko Ristic
Branko Ristic RMIT University
Moeness G. Amin
Moeness G. Amin Villanova University
Karim Abed-Meraim
Karim Abed-Meraim University of Orléans
Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Adel Belouchrani
Adel Belouchrani Polytechnic School of Algiers
Vinod Chandran
Vinod Chandran Queensland University of Technology
Brian C. Lovell
Brian C. Lovell University of Queensland
Ljubisa Stankovic
Ljubisa Stankovic University of Montenegro
Fauzia Ahmad
Fauzia Ahmad Temple University

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