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Professor Paul Wen

Professor Paul Wen
Name Paul Wen
Position Head of School (Mechanical and Electrical Engineering)
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)
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

  • Centre for Health Sciences Research (CHSR)
  • 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.

View full listing in ePrints