World's Best Scientists 2026 revealed!
Moncef Gabbouj

Moncef Gabbouj

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Computer Science
Finland
2026
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Electronics and Electrical Engineering
Finland
2026

D-Index & Metrics

Computer Science

D-Index
75
Citations
32965
World Ranking
1380
National Ranking
6

Electronics and Electrical Engineering

D-Index
74
Citations
30301
World Ranking
700
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Finland Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Finland Leader Award
  • 2025 - Research.com Computer Science in Finland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Finland Leader Award
  • 2023 - Research.com Computer Science in Finland Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Finland Leader Award
  • 2022 - Research.com Computer Science in Finland Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Finland Leader Award
  • 2014 - Member of Academia Europaea
  • 2011 - IEEE Fellow For contributions to nonlinear signal processing and video communication

Overview

Moncef Gabbouj is affiliated with Tampere University in Finland and has contributed extensively to the fields of Computer Science and Engineering. Their research spans several main fields, notably Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Electrical and Electronic Engineering.

Their research topics cover a range of areas including:

  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Machine Fault Diagnosis Techniques
  • Advanced Image Processing Techniques
  • Machine Learning and ELM

Moncef Gabbouj has published several important papers, among them:

  • 1D convolutional neural networks and applications: A survey, 2022, Qatar University QSpace (Qatar University)
  • A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications, 2020, Mechanical Systems and Signal Processing
  • Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision, 2020, IEEE Access
  • 1D convolutional neural networks and applications: A survey, 2020, Mechanical Systems and Signal Processing
  • Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images, 2022, PubMed Central

The scientist has collaborated frequently with the following co-authors:

  • Serkan Kıranyaz
  • Alexandros Iosifidis
  • Jenni Raitoharju
  • Türker İnce
  • Mete Ahishali

Moncef Gabbouj has a record of publications in a variety of venues, with notable counts in:

  • arXiv (Cornell University), 101 publications
  • IEEE Access, 15 publications
  • SSRN Electronic Journal, 14 publications
  • Qatar University QSpace (Qatar University), 12 publications
  • Zenodo (CERN European Organization for Nuclear Research), 7 publications

In addition to journal articles, Moncef Gabbouj has authored books published by Springer Science+Business Media. Their book titles include:

  • Image and Graphics, 2021
  • Emerging Electronics and Automation, 2024
  • Artificial Intelligence Security and Privacy, 2024

Recognition in their career includes being named IEEE Fellow in 2011 for contributions to nonlinear signal processing and video communication, and membership in Academia Europaea since 2014.

Best Publications

  • 1D convolutional neural networks and applications: A survey

    Serkan Kiranyaz;Onur Avci;Osama Abdeljaber;Turker Ince

  • Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

    Serkan Kiranyaz;Turker Ince;Moncef Gabbouj

  • Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

    Turker Ince;Serkan Kiranyaz;Levent Eren;Murat Askar

  • Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

    Osama Abdeljaber;Onur Avci;Serkan Kiranyaz;Moncef Gabbouj

  • A review of vibration-based damage detection in civil structures : from traditional methods to Machine Learning and Deep Learning applications

    Onur Avci;Osama Abdeljaber;Serkan Kiranyaz;Mohammed Hussein

  • Weighted median filters: a tutorial

    Lin Yin;Ruikang Yang;M. Gabbouj;Y. Neuvo

  • Rate adaptation for adaptive HTTP streaming

    Chenghao Liu;Imed Bouazizi;Moncef Gabbouj

  • A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals

    T. Ince;S. Kiranyaz;M. Gabbouj

  • The error concealment feature in the H.26L test model

    Ye-Kui Wang;M.M. Hannuksela;V. Varsa;A. Hourunranta

  • Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision

    Jorge Pena Queralta;Jussi Taipalmaa;Bilge Can Pullinen;Victor Kathan Sarker

  • Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform

    Kaveh Samiee;Peter Kovacs;Moncef Gabbouj

  • Optimal weighted median filtering under structural constraints

    Ruikang Yang;Lin Yin;M. Gabbouj;J. Astola

  • Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks

    Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen

  • Signal Processing: Image Communication

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas;Moncef Gabbouj

  • Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks

    Serkan Kiranyaz;Adel Gastli;Lazhar Ben-Brahim;Nasser Al-Emadi

  • 1-D Convolutional Neural Networks for Signal Processing Applications

    Serkan Kiranyaz;Turker Ince;Osama Abdeljaber;Onur Avci

  • Evolutionary artificial neural networks by multi-dimensional particle swarm optimization

    Serkan Kiranyaz;Turker Ince;Alper Yildirim;Moncef Gabbouj

  • Optimal weighted median filters under structural constraints

    R. Yang;L. Yin;M. Gabbouj;J. Astola

  • The emerging MVC standard for 3D video services

    Ying Chen;Ye-Kui Wang;Kemal Ugur;Miska M. Hannuksela

  • Convolutional Neural Networks for patient-specific ECG classification

    Serkan Kiranyaz;Turker Ince;Ridha Hamila;Moncef Gabbouj

  • Rock Texture Retrieval Using Gray Level Co-occurrence Matrix

    Moncef Gabbouj;Mari Partio;Bogdan Cramariuc;Ari Visa

  • HEVC-compliant Tile-based Streaming of Panoramic Video for Virtual Reality Applications

    Alireza Zare;Alireza Aminlou;Miska M. Hannuksela;Moncef Gabbouj

Frequent Co-Authors

Serkan Kiranyaz
Serkan Kiranyaz Qatar University
Alexandros Iosifidis
Alexandros Iosifidis Aarhus University
Miska Hannuksela
Miska Hannuksela Nokia (Finland)
Yrjö Neuvo
Yrjö Neuvo Aalto University
Bing Zeng
Bing Zeng University of Electronic Science and Technology of China
Anastasios Tefas
Anastasios Tefas Aristotle University of Thessaloniki
Ye-Kui Wang
Ye-Kui Wang ByteDance
Jaakko Astola
Jaakko Astola Tampere University
Houqiang Li
Houqiang Li University of Science and Technology of China

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