World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5271
World Ranking
12128
National Ranking
771

Overview

John J. Soraghan is affiliated with the University of Strathclyde in the United Kingdom. Their research primarily spans the fields of engineering and computer science, with a significant focus on aerospace engineering and computer vision and pattern recognition.

The scientist's work encompasses various subfields such as signal processing, biomedical engineering, and cognitive neuroscience. The main topics covered in their research include synthetic aperture radar (SAR) applications and techniques, advanced SAR imaging methods, and advanced neural network applications. Other areas of interest are video surveillance and tracking methods, radiomics and machine learning in medical imaging, neuroscience and neural engineering, as well as speech and audio processing.

John J. Soraghan has contributed to several recent publications, reflecting a diverse range of subjects within the mentioned fields. Notable papers include:

  • "A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition" (2020), published in Frontiers in Neuroscience
  • "Target Tracking Using a Mean-Shift Occlusion Aware Particle Filter" (2021), published in IEEE Sensors Journal
  • "Indoor Home Scene Recognition Using Capsule Neural Networks" (2020), published in Procedia Computer Science
  • "Perception Understanding Action: Adding Understanding to the Perception Action Cycle With Spiking Segmentation" (2020), published in Frontiers in Neurorobotics
  • "SAR Coregistration by Robust Selection of Extended Targets and Iterative Outlier Cancellation" (2021), published in IEEE Geoscience and Remote Sensing Letters

The scientist has frequently published in venues such as IET Radar Sonar & Navigation, International Journal of Mechatronics and Automation, Frontiers in Neuroscience, IEEE Sensors Journal, and Procedia Computer Science.

Collaboration plays a significant role in their research, with frequent co-authors including Carmine Clemente, Gaetano Di Caterina, Lykourgos Petropoulakis, Luca Pallotta, and Gaetano Giunta. Soraghan's work is associated with a range of interdisciplinary teams, reflecting the complexity and diversity of their research interests.

Best Publications

  • Detection of PD utilizing digital signal processing methods. Part 3: Open-loop noise reduction

    I. Shim;J.J. Soraghan;W.H. Siew

  • EMD-Based Filtering (EMDF) of Low-Frequency Noise for Speech Enhancement

    N. Chatlani;J. J. Soraghan

  • Electrocardiogram (ECG) Biometric Authentication Using Pulse Active Ratio (PAR)

    S. I. Safie;J. J. Soraghan;L. Petropoulakis

  • Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar

    Carmine Clemente;Alessio Balleri;Karl Woodbridge;John J Soraghan

  • Automatic Target Recognition of Military Vehicles With Krawtchouk Moments

    Carmine Clemente;Luca Pallotta;Domenico Gaglione;Antonio De Maio

  • A novel algorithm for radar classification based on doppler characteristics exploiting orthogonal Pseudo-Zernike polynomials

    Carmine Clemente;Luca Pallotta;Antonio De Maio;John J. Soraghan

  • Small-target detection in sea clutter

    S. Panagopoulos;J.J. Soraghan

  • Robust PCA micro-doppler classification using SVM on embedded systems

    Jaime Zabalza;Carmine Clemente;Gaetano Di Caterina;Jinchang Ren

  • Quantitative Analysis of Facial Paralysis Using Local Binary Patterns in Biomedical Videos

    Shu He;J.J. Soraghan;B.F. O'Reilly;Dongshan Xing

  • Local binary patterns for 1-D signal processing

    Navin Chatlani;John J. Soraghan

  • Digital signal processing applied to the detection of partial discharge: an overview

    I. Shim;J.J. Soraghan;W.H. Siew

  • Study on Interaction Between Temporal and Spatial Information in Classification of EMG Signals for Myoelectric Prostheses

    Radhika Menon;Gaetano Di Caterina;Heba Lakany;Lykourgos Petropoulakis

  • Micro-doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems

    Sevgi Zubeyde Gurbuz;Carmine Clemente;Alessio Balleri;John J. Soraghan

  • Identification of Contaminant Type in Surface Electromyography (EMG) Signals

    Paul McCool;Graham D. Fraser;Adrian D. C. Chan;Lykourgos Petropoulakis

  • On Model, Algorithms, and Experiment for Micro-Doppler-Based Recognition of Ballistic Targets

    Adriano Rosario Persico;Carmine Clemente;Domenico Gaglione;Christos V. Ilioudis

  • Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos

    Yijun Yan;Jinchang Ren;Huimin Zhao;Genyun Sun

  • A new spiking convolutional recurrent neural network (SCRNN) with applications to event-based hand gesture recognition

    Yannan Xing;Gaetano Di Caterina;John Soraghan

  • Automatic fault location for underground low voltage distribution networks

    S. Navaneethan;J.J. Soraghan;W.H. Siew;F. McPherson

  • A new adaptive functional-link neural-network-based DFE for overcoming co-channel interference

    A. Hussain;J.J. Soraghan;T.S. Durrani

  • Use of Fresnelets for Phase-Shifting Digital Hologram Compression

    E. Darakis;J.J. Soraghan

  • Compression of interference patterns with application to phase-shifting digital holography

    Emmanouil Darakis;John J Soraghan

Frequent Co-Authors

Antonio De Maio
Antonio De Maio University of Naples Federico II
Amir Hussain
Amir Hussain Edinburgh Napier University
Jinchang Ren
Jinchang Ren Robert Gordon University
Woon-Seng Gan
Woon-Seng Gan Nanyang Technological University
Thomas J. Naughton
Thomas J. Naughton National University of Ireland, Maynooth
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Stephen Marshall
Stephen Marshall University of Strathclyde
Karl Woodbridge
Karl Woodbridge University College London
Andrea Conti
Andrea Conti University of Ferrara
Bahram Jalali
Bahram Jalali University of California, Los Angeles

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