Skip to main content

Professor Yan Li

Professor Yan Li
Name Yan Li
Position Professor (Computing)
Section School of Agricultural, Computational and Environmental Sciences
Office D221
Location Toowoomba Campus
Phone +61 7 4631 5533
Extension 5533
Qualifications BEng HUST , MEng HUST , PhD Flinders

Fields of Research (FoR)

  • Computer Communications Networks ( 100503 )
  • Signal Processing ( 090609 )
  • Biomedical Engineering ( 090300 )
  • Artificial Intelligence and Image Processing ( 080100 )

Research interests
Machine Learning Algorithms, Big Data Analytics, Signal/Image Processing, EEG Research, Graph Theory, and Networking Technologies.

Prof Yan Li has recently received more than half a million ($543,227) international industry research fund to refine her new cutting-edge technologies for identifying sleep patterns and stages for the diagnoses and treatment of sleep disorders, and for developing a better depth of anaesthesia monitoring device.

The projects require expertise from multi-disciplinary areas of artificial intelligence, brain modelling, signal processing, and big data analytics. Her current main is to transfer the knowledge to benefit business and industry.

Currently teaching courses/programs
CSC8003 Machine Learning
CSC8002 Big Data Management
CSC3407 Network Fundamentals and Routing
CSC3427 Switching, Wireless and WAN Technologies
CSC2407 Introduction to Software Engineering
Master of Science Research Projects A-F (SCI9011 - SCI9016)

Administrative responsibilities
• Applied Data Science Program Leader
• Master of Science Program Leader
• School Research Coordinator
• USQ Cisco Networking Academy Founder and Leader

A core member of the following committees:
• School Management Committee
• USQ Science Advisory Committee
• USQ Academic Board
• USQ Research and Research Training Committee
• USQ Research Committee
• USQ Academic Board Executive Committee

Research most recent
1. (Book) Siuly, Yan Li and Yanchun Zhang, Advanced techniques for electroencephalogram signal analysis and classification with their applications, Springer Singapore, January 2017. ISBN: 978-3-319-47652-0.

2. Mohammed Diykh, Yan Li and Peng Wen, EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph Similarity, IEEE Transactions of Neural Systems and Rehabilitation Engineering, No. 99, April 2016, (Impact Factor: 2.821, SNIP: 2.294).

3. Bo Song, Peng Wen, Yan Li and Tony Ahfock, Numeric Investigation of Brain Tumor Influence on the Current Distributions during Transcranial Direct Current Stimulation, IEEE Transactions on Biomedical Engineering, Vol.63, No. 1 January 2016, pp. 176-187. DOI: 10.1109/TBME.2015.2468672. (IF: 2.233, SNIP: 1.996)

Research most notable
1. Yan Li and A B Rad, A Cascading Structure and Training Method for Multilayer Neural Networks, International Journal of Neural Systems, Vol. 8, Nos. 5 & 6 (Oct. /Dec., 1997) pp. 509-515. (Impact factor: 6.056).

2. Tai Nguyen-Ky, Peng (Paul) Wen, and Yan Li. Consciousness and depth of anaesthesia assessment using Bayesian techniques. IEEE Transactions on Biomedical Engineering. Vol. 60(6), pp. 1488-1498, 2013. ISSN 0018-9294. (ERA A*, Impact Factor: 2.233).

3. Siuly and Yan Li, Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain computer interface, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 20, No. 4, July 2012, pp. 526-538. (ERA A*, Impact factor 2.821)

4. Guohun Zhu, Yan Li and Peng Wen, Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs from a Single Channel EEG Signal, IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2014.230399, 2014. (ERA Rank A*, Impact Factor: 1.98).

Publications in ePrints

Al-Salman, Wessam and Li, Yan and Wen, Peng (2019) Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features. Biomedical Signal Processing and Control, 48. pp. 80-92. ISSN 1746-8094

Al Ghayab, Hadi Ratham and Li, Yan and Siuly, Siuly and Abdulla, Shahab (2019) Epileptic seizures detection in EEGs blending frequency domain with information gain technique. Soft Computing, 23 (1). pp. 227-239. ISSN 1432-7643

Prasad, Ramendra and Deo, Ravinesh C. and Li, Yan and Maraseni, Tek (2019) Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach. Catena, 177. pp. 149-166. ISSN 0341-8162

Huang, Yi and Wen, Peng and Song, Bo and Li, Yan (2018) An auto TCD probe design and visualization. In: 11th International Conference on Brain Informatics (BI 2018), 7-9 Dec 2018, Arlington, Texas, USA.

Al-Salman, Wessam and Li, Yan and Wen, Peng and Diykh, Mohammed (2018) An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image. Biomedical Signal Processing and Control, 41. pp. 210-221. ISSN 1746-8094

View full listing in ePrints