Dr Siuly Siuly
Research Fellow, Centre for Applied Informatics
Dr Siuly is a research fellow in the Centre for Applied Informatics (CAI), College of Engineering & Science, Victoria University (VU).
She obtained her PhD in Biomedical Engineering from the University of Southern Queensland (USQ) in September 2012, and her MSc and BSc from the University of Dhaka, Bangladesh. Before joining VU, she worked as a research fellow (part-time) at USQ.
In her current project she is working on:
- biomedical signal processing
- epileptic seizure detection and prediction
- brain-computer interface (BCI)
- artificial intelligence
- data mining
- pattern recognition for developing computer-aided analysis systems.
Refereed journal articles
Siuly, Yin, X., Hadjiloucas, S. and Zhang, Y. (2016). Classification of THz pulse signals using two-dimensional cross-correlation feature extraction and non-linear classifiers. Computer Methods and Programs in Biomedicine, 127, pp.64-82.
Supriya, Siuly, Wang H., Cao J. and Zhang Y. (2016). Weighted visibility graph with complex network features in the detection of epilepsy. IEEE Access, DOI 10.1109/ACCESS.2016.2612242.
Alçin, Ö. F., Siuly, Bajaj, V., Guo, Y., Şengur, A. and Zhang, Y. (2016). Multi-category EEG signal classification developing Time-Frequency Texture Features based Fisher Vector encoding method. Neurocomputing, DOI: 10.1016/j.neucom.2016.08.050 (in Press).
Siuly, Wang, H. and Zhang, Y. (2016). Detection of motor imagery EEG signals employing Naïve Bayes based learning process. Measurement, 86, pp.148-158.
Hassan, A. R., Siuly and Zhang, Y. (2016). Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and Bootstrap aggregating. Computer Methods and programs in Biomedicine, Computer Methods and Programs in Biomedicine, 137, 247–259.
Peer reviewed conference papers
Supriya, S., Siuly, S., Wang, H., Zhuo, G. and Zhang, Y. (2016). Analyzing EEG signal data for detection of epileptic seizure: Introducing Weight on Visibility Graph with Complex Network Feature. Australasian Database Conference (ADC) 2016. LNCS 9877, pp. 56–66, 2016.
Siuly, Li, Y., Wu, J. And Yang, J. (2011) ‘Developing a Logistic Regression Model with Cross-Correlation for Motor Imagery Signal Recognition’, The proceedings of the 2011 IEEEIICME International Conference on Complex Medical Engineering May 22-25, Harbin, China, pp. 502-507.
Co-supervision of two PhD students.
Areas of expertise
- Artificial Intelligence
- Biomedical signal processing
- Brain-Computer Interface (BCI)
- Data Mining
- Epileptic seizure detection and prediction using EEG signals
- Machine Learning
- Pattern recognition