World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
5697
World Ranking
6956
National Ranking
220

Overview

Siuly Siuly is affiliated with Victoria University in Australia and has made significant contributions in the fields of neuroscience, medicine, and computer science. Their research primarily focuses on cognitive neuroscience, cardiology and cardiovascular medicine, signal processing, biomedical engineering, and artificial intelligence.

Their scientific output covers several main topics, including:

  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Functional Brain Connectivity Studies
  • Blind Source Separation Techniques
  • Neuroscience and Neural Engineering
  • Advanced Memory and Neural Computing
  • Heart Rate Variability and Autonomic Control

Siuly has frequently published in journals such as:

  • Health Information Science and Systems
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Computers in Biology and Medicine
  • PLoS ONE
  • Computer Methods and Programs in Biomedicine

Some of the recent papers authored by Siuly include:

  • A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering

Siuly has collaborated with several frequent co-authors, including Hua Wang, Muhammad Tariq Sadiq, Md. Nurul Ahad Tawhid, Kate Wang, and Ashik Mostafa Alvi. This network has contributed to a diverse portfolio of interdisciplinary studies mainly focused on EEG and biomedical signal analysis.

In addition to journal articles, Siuly has contributed to books published by Springer Science+Business Media, notably titled "Health Information Science" with editions in 2021 and 2022.

Best Publications

  • Clustering technique-based least square support vector machine for EEG signal classification

    Siuly;Yan Li;Peng (Paul) Wen

  • Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating

    Ahnaf Rashik Hassan;Siuly Siuly;Yanchun Zhang

  • EEG Signal Analysis and Classification

    Siuly Siuly;Yan Li;Yanchun Zhang

  • Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface

    Siuly Siuly;Yan Li

  • Weighted Visibility Graph With Complex Network Features in the Detection of Epilepsy

    Supriya Supriya;Siuly Siuly;Hua Wang;Jinli Cao

  • Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis

    Siuly Siuly;Yanchun Zhang;Yanchun Zhang

  • A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals

    Siuly Siuly;Smith K. Khare;Varun Bajaj;Hua Wang

  • A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals

    Siuly Siuly;Omer Faruk Alcin;Enamul Kabir;Abdulkadir Sengur

  • Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification

    Siuly Siuly;Yan Li

  • Epileptic seizure detection from EEG signals using logistic model trees

    Enamul Kabir;Siuly;Yanchun Zhang

  • A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG.

    Md. Nurul Ahad Tawhid;Siuly Siuly;Hua Wang;Frank Whittaker

  • Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface

    Siuly;Yan Li;Peng (Paul) Wen

  • Epilepsy Detection from EEG using Complex Network Techniques: A Review.

    Supriya Supriya;Siuly Siuly;Hua Wang;Yanchun Zhang

  • Toward the Development of Versatile Brain–Computer Interfaces

    Muhammad Tariq Sadiq;Xiaojun Yu;Zhaohui Yuan;Muhammad Zulkifal Aziz

  • Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms

    Fatih Demir;Nebras Sobahi;Siuly Siuly;Abdulkadir Sengur

  • Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications

    Sachin Taran;Varun Bajaj;Dheeraj Sharma;Siuly Siuly

  • Automated epilepsy detection techniques from electroencephalogram signals: a review study

    Supriya Supriya;Siuly Siuly;Hua Wang;Yanchun Zhang

  • A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification.

    Hadi Ratham Al Ghayab;Hadi Ratham Al Ghayab;Yan Li;Siuly Siuly;Shahab Abdulla

  • A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.

    Shalu Chaudhary;Sachin Taran;Varun Bajaj;Siuly Siuly

  • Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks

    Waqar Hussain;Muhammad Tariq Sadiq;Siuly Siuly;Ateeq Ur Rehman

  • Exploring Sampling in the Detection of Multicategory EEG Signals

    Siuly Siuly;Enamul Kabir;Hua Wang;Yanchun Zhang

  • Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method

    mer F. Aln;Siuly Siuly;Varun Bajaj;Yanhui Guo

  • Exploring Hermite transformation in brain signal analysis for the detection of epileptic seizure

    Siuly Siuly;Omer F. Alcin;Varun Bajaj;Abdulkadir Sengur

  • A novel statistical algorithm for multiclass EEG signal classification

    Siuly;Yan Li

Frequent Co-Authors

Yanchun Zhang
Yanchun Zhang Victoria University
Hua Wang
Hua Wang Victoria University
Varun Bajaj
Varun Bajaj Maulana Azad National Institute of Technology
Abdulkadir Sengur
Abdulkadir Sengur Fırat University
Yanhui Guo
Yanhui Guo Fudan University
Uwe Aickelin
Uwe Aickelin University of Melbourne
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Xiangliang Zhang
Xiangliang Zhang University of Notre Dame
Wei Xiang
Wei Xiang La Trobe University
Nebojsa Bacanin
Nebojsa Bacanin Singidunum University

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