Siuly Siuly PhD (University of Southern Queensland); Masters of Science (University of Dhaka Faculty of Science); Bachelor of Science (University of Dhaka Faculty of Science)
Research Fellow, Victoria University, Melbourne, VIC · Australia
Editorial leadership for International Epilepsy Journal
Research interests
- • Biomedical Signal Processing • Artificial Intelligence • Machine Learning • Epileptic Seizure Detection
- Prediction Using Eeg Signals • Brain-Computer Interface • Big Data Technologies • Pattern Recognition • Data Mining
Biography
Dr. Siuly Siuly is a Research Fellow at Victoria University, Melbourne, VIC, Australia, specializing in statistical frameworks and computational methods for biomedical signal processing. She earned her PhD from the University of Southern Queensland and her BSc from the University of Dhaka Faculty of Science, where she received multiple merit scholarships and trust fund awards for academic excellence in statistics. Her research focuses on EEG signal classification and automated detection methods, with her most-cited work, "A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals" (2020), garnering 185 citations among her 37+ indexed publications. Dr. Siuly has been recognized with the USQ Publication Excellence Award (2015) for her novel statistical framework for multiclass EEG signal classification and received the USQ postgraduate research scholarship (2009) along with travel grants supporting her participation in international conferences on rough sets, knowledge technology, and complex medical engineering.
Selected publications
- A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals 2020 cited 185×
- A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals 2020 cited 140×
- Toward the Development of Versatile Brain–Computer Interfaces 2021 cited 101×
- Epilepsy Detection From EEG Using Complex Network Techniques: A Review 2023 cited 99×
- A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals 2023 cited 99×
- Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms 2021 cited 97×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
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This journal is guided by Siuly Siuly (Research Fellow, Victoria University, Melbourne, VIC) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.