Professor Paul Wen
| Name | Paul Wen |
|---|---|
| Position | Professor (Systems and Computer Control) |
| Section | School of Mechanical and Electrical Engineering |
| Office | Z447 |
| Location | Toowoomba Campus |
| Phone | +61 7 4631 2586 |
| Extension | 2586 |
| Qualifications | BEng HUST , MEng HUST , PhD HUST , PhD Flinders |
| Languages |
Chinese (non accredited translator)
|
| Homepage |
http://www.usq.edu.au/users/wen The views expressed on staff homepages may not reflect the views of the University. |
Fields of Research (FoR)
-
Electrical and Electronic Engineering not elsewhere classified
( 090699)
-
Biomedical Engineering not elsewhere classified
( 090399)
Research interests
Biomedical engineering (EEG), Complex Medical Engineering, Networked system, Intelligent control
Professional memberships
Member, Institute of Electrical and Electronic Engineers (IEEE)
Member, IEEE Engineering of Medicine and Biology (EMB)
Committee member, Institute of Complex Medical Engineering (ICME)
USQ Research affiliations
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Centre for Health Sciences Research (CHSR)
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Computational Engineering and Science Research Centre (CESRC)
Currently teaching courses/programs
ELE3105 Computer controlled System
ELE2912 Electrical & Electronic Practice B
ELE2103 Linear System and control
ELE1911 Electrical & Electronic Practice A
Doctor of Philosophy (PhD)
Master of Engineering (MEng)
Teaching experience(Tertiary)
32 Years
Administrative responsibilities
Coordinator of Research and Research Training (MEE)
Research most recent
Marilia M.D. Oliveira, Peng Wen, and Tony Ahfock, Impact of heat transfer due to electroconvulsive therapy, Computer Methods and Programs in Biomedicine, Vol 133, pp71-81, Sep 2016
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, Vol. 24, pp.1159-1168, Nov 2016
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, pp.176-187, Jan, 2016
Research most notable
Industry collaborating research Grant 2017 - 2021
ARC Discovery Program Grant, Australian Research Council, 2006 - 2008
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-Salman, Wessam and Li, Yan and Wen, Paul (2019) Detection of EEG K-complexes using fractal dimension of time-frequency images technique coupled with undirected graph features. Frontiers in Neuroinformatics, 13 (45). pp. 1-19.
Al-Salman, Wessam and Li, Yan and Wen, Peng (2019) K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model. Neuroscience, 422. pp. 119-133. ISSN 0306-4522
Al-Hossenat, Auhood and Wen, Paul and Li, Yan (2019) Modelling and simulating different bands of EEG signals with the virtual brain. International Journal of Electrical, Electronics and Data Communication, 7 (5). pp. 66-70. ISSN 2320-2084
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.