Section: Overview
Overview
Key publications
Research funding
Supervising & teaching
Career

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

Year Citation
2025 Alvi, A. M., Manami, N. T., Siuly, S., & Sun, L. (250101). IBDR-Net: A Computerized Framework for Irregular Brain Signal Data Recognition (pp. 258-269).

doi: 10.1007/978-981-96-5597-7_23

Year Citation
2025 Khanam, T., Siuly, S., Wang, K., & Wang, H. (250101). An AI Driven Framework forEEG Based-BCI Technology Paper presented at Lecture Notes in Computer Science (pp. 209-220).

doi: 10.1007/978-981-96-5597-7_19

2025 Guo, Y., Kong, L., Du, G. Q., Lee, C. W., Siuly, S., & Cheng, H. D. (250101). Myocardial Band Transformer Network forDetecting Myocardial Ischemia in2D Echocardiography Paper presented at Lecture Notes in Computer Science (pp. 78-92).

doi: 10.1007/978-981-96-5597-7_8

2025 Khanam, T., Siuly, S., Wang, K., & Zheng, Z. (250101). A Privacy-Preserving Encryption Framework forBig Data Analysis Paper presented at Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (pp. 84-94).

doi: 10.1007/978-981-96-0576-7_7

Year Citation
2025 Siuly, S., Tawhid, M. NA., Li, Y., Acharya, R., Sadiq, M. T., & Wang, H. (250401). Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data. Cognitive Computation, 17(2),

doi: 10.1007/s12559-025-10447-9

2025 Siuly, S., Xing, C., Li, X., & Zhou, R. (250101). Preface. Lecture Notes in Computer Science, 15336 LNCS (v-vi).
2025 Faris, N., Sahi, A., Diykh, M., Abdulla, S., & Siuly, S. (250101). Enhanced Polycystic Ovary Syndrome diagnosis model leveraging a K-means based genetic algorithm and ensemble approach. Intelligence Based Medicine, 11

doi: 10.1016/j.ibmed.2025.100253

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),

doi: 10.3390/bioengineering11050464

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

doi: 10.1016/j.compbiomed.2024.108462

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).

doi: 10.1109/TETCI.2024.3353610

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
1 PhD Integrated Principal supervisor

Currently supervised research students at VU

Students & level Role
PhD (1) Associate supervisor
PhD Integrated (1) Principal 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.