| Year | Citation |
|---|---|
| 2024 | Sadiq, M. T., Yousaf, A., Siuly, S., & Almogren, A. (240501). Fast Fractional Fourier Transform-Aided Novel Graphical Approach for EEG Alcoholism Detection. Bioengineering, 11(5), |
| 2024 | Siuly, S., Khare, S. K., Kabir, E., Sadiq, M. T., & Wang, H. (240501). An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network. Computers in Biology and Medicine, 174 |
| 2024 | Siuly, S., Alcin, O. F., Wang, H., Li, Y., & Wen, P. (240401). Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease. IEEE Transactions on Emerging Topics in Computational Intelligence, 8(2), (1609-1623). |
| 2024 | Alvi, A. M., Khan, M. J., Manami, N. T., Miazi, Z. A., Wang, K., Siuly, S., & Wang, H. (240101). XCR-Net: A Computer Aided Framework to Detect COVID-19. IEEE Transactions on Consumer Electronics, |
| 2024 | Tawhid, M. NA., Siuly, S., Wang, K., & Wang, H. (240101). GENet: A Generic Neural Network for Detecting Various Neurological Disorders from EEG. IEEE Transactions on Cognitive and Developmental Systems, 16(5), (1829-1842). |
| 2024 | Tawhid, M. NA., Siuly, S., Kabir, E., & Li, Y. (240101). Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32 (189-199). |
| 2023 | Sadiq, M. T., Siuly, S., Almogren, A., Li, Y., & Wen, P. (231201). Efficient novel network and index for alcoholism detection from EEGs. Health Information Science and Systems, 11(1), |
| 2023 | Siuly, S., Guo, Y., Alcin, O. F., Li, Y., Wen, P., & Wang, H. (230601). Exploring deep residual network based features for automatic schizophrenia detection from EEG. Physical and Engineering Sciences in Medicine, 46(2), (561-574). |
| 2023 | Alvi, A. M., Siuly, S., & Wang, H. (230401). A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(2), (375-388). |
| 2023 | Abdulla, S., Diykh, M., Siuly, S., & Ali, M. (230301). An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification. International Journal of Medical Informatics, 171 |
Key details
Areas of expertise
- Artificial intelligence
- Data mining & big data analytics
- Biomedical signal processing and analysis
- Detection and prediction of neurological disorders using Brain signal data
- EEG based Brain computer Interface
Available to supervise research students
Not available for media queries
About Siuly Siuly
Dr Siuly is a prominent researcher and experts in cutting-edge innovative research and technology to advancing the frontiers of knowledge in several significant domains. Her current research focuses on Artificial Intelligence (AI), Data Mining, Biomedical Signal Processing and Analysis, and Brain-Computer Interface technology. She specializes in the identification and forecasting of neurological disorders using brain signal data, with a specific focus on Electroencephalogram (EEG) data. Dr. Siuly's primary research objective is the development of an automated analysis system capable of handling large data streams to detect and predict anomalies, initially focusing on identifying and forecasting brain disorders and mental illnesses from EEG data streams. The successful implementation of her research is poised to revolutionize information technology and health monitoring applications, alleviate clinician workloads, and enhance the diagnosis and prognosis of neurological disorders. Dr. Siuly has contributed substantially to her field with 118 peer-reviewed publications, including 2 full books, 4 book chapters, and 112 research papers in top ranking journals and conferences. She has secured funding exceeding $776,980 (Australian Dollars), including a prestigious ARC Discovery Project (DP) grant. In recognition of her achievements, Dr. Siuly was awarded the “Victoria University's 2021 Women in Research Shine Bright Program” award. She has collaborated with world-leading experts in biomedical signal data processing and analysis, data mining, and AI fields, including the Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Centro Neurolesi Bonino-Pulejo in Messina, Italy, for obtaining real-time EEG data, and industry partner NEXUS ONLINE PTY LTD for commercialization efforts. A distinguished academic, Dr. Siuly has served as an Associate Editor for IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE) and currently holds editorial roles in several prestigious journals, including Managing Editor of Health Informatics Sciences and Systems and Academic Editor for PLOS ONE. She also serves as an Associate Editor for Frontiers in Medical Technology and holds editorial positions in prominent journals such as Computers, Materials & Continua, Journal of Autonomous Intelligence, International Journal of Clinical & Medical Informatics, and International Epilepsy Journal. Since 2016, she has been the organizing the Health Information Science (HIS) conference as its lead figure. Dr. Siuly has successfully supervised the completion of four PhD students and one Master's by research student and is currently actively engaged as part of the PhD student supervisor team at Victoria University.
Qualifications
- PhD, University of Southern Queensland, Australia, 2012
- MSc, The University of Dhaka, Bangladesh, 2000
- BSc (Hons), The University of Dhaka, Bangladesh, 1998
Key publications
Siuly has over 125 publications, with a selection listed here.
A more comprehensive list of Siuly's publications is available in the VU Research Repository.
Journal article (showing 10 of 83)
Research funding for the past 5 years
Funding details for this researcher are currently unavailable.
Supervision of research students at VU
Available to supervise research students
Not available for media queries
Currently supervised research students at VU
| No. of students | Study level | Role |
|---|---|---|
| 1 | PhD | Associate supervisor |
Currently supervised research students at VU
| Students & level | Role |
|---|---|
| PhD (1) | Associate supervisor |
Completed supervision of research students at VU
| No. of students | Study level | Role |
|---|---|---|
| 3 | PhD | Associate supervisor |
| 1 | Master of Research | Associate supervisor |
Completed supervision of research students at VU
| Students & level | Role |
|---|---|
| PhD (3) | Associate supervisor |
| Master of Research (1) | Associate supervisor |
Other supervision of research students
Dr Siuly has successfully supervised the completion of one PhD students as an external associate supervisor for the University of Southern Queensland from 2014-Dec2018. The student received his PhD degree in July 1, 2019.
Careers
Details of this Researcher's career are currently unavailable.
