Editorial Board
Siuly Siuly
Research Fellow, Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, Australia · 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
- Recipient of the USQ Publication Excellence Awards (C1 Category, SchoolSpecific), Faculty of Health, Engineering and Sciences, in 2015. Paper’s title: “A novel statistical framework for multiclass EEG signal classification”
- Recipient of the USQ postgraduate research scholarship, 2009, for pursuing Ph.D. studies at the University of Southern Queensland, Australia
- Travel grant from the University of Southern Queensland for attending the Fourth International Conference on Rough Sets and Knowledge Technology (RSKT 2009), Gold Coast, Australia.
- Travel grant from the University of Southern Queensland for attending the 2010 IEEE/ICME International Conference on Complex Medical Engineering (CME2010). Gold Coast, Australia.
- Recipient of the Quazi Mothahar Hossain Trust Fund Award, 1997, for securing First Class in the Master of Science final examination, Department of Statistics, University of Dhaka.
- Recipient of the Quazi Mothahar Hossain Trust Fund Award, 1996, for securing First Class in the Bachelor of Science final examination, Department of Statistics, University of Dhaka.
- Recipient of the University Merit Scholarship 1994-1996 for academic excellence and best conduct.
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, Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, Australia) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.