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Personal profile

Biography

Professor Xu Huang received B.E. and M.E. degrees and a PhD in Electrical Engineering and Optical Engineering prior to 1989 and his second PhD in Experimental Physics in the University of New South Wales, Australia in 1992. He earned the Graduate Certificate in Higher Education in 2004 at the University of Canberra, Australia.

Professor Huang has been a senior member of IEEE in Electronics and in the Australian Computer Society since 1989, a Fellow of Institution of Engineering Australian (FIEAust), a member of the Chartered Professional Engineers (CPEng) and a member of the Australian Institute of Physics. 

Professor Huang has edited seven research books, nine research book chapters, 41 research journal articles, and about two hundred research papers in high level of the IEEE and other international conferences (within ERA ranking); he has been awarded 13 patents in Australia in 2010 and 2013. He has been an active researcher in his research areas evidenced by various active roles at the important IEEE Conferences, including NSS, ICA3PP, WCNC, and ICC. 

Research interests

  • Network Security
  • Internet of Things
  • Telecommunications and WSN

 

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2003 2021

Research Output 2002 2017

A Computational Investigation of an Active Region in Brain Network Based on Stimulations with Near-Infrared Spectroscopy

Huang, X., Rojas, R. F., Madoc, A. C., Ou, K. L. & Rabiul Islam, S. M. 26 Oct 2017 Proceedings 24th International Conference on Neural Information Processing (ICONIP 2017): Lecture Notes in Computer Science. Liu, D. (ed.). Cham, Switzerland: Springer-Verlag London Ltd., Vol. 10635, p. 728-738 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10635 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Near-infrared Spectroscopy
Near infrared spectroscopy
Cortex
Brain
Hemodynamics

A New Approach of Noise Elimination Methodology for ECG Signal

Mou, J. R., Islam, S. M. R., HUANG, X. & Ou, K. L. 16 Feb 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE 2017). Arefin, M. S. (ed.). Taiwan: IEEE, Institute of Electrical and Electronics Engineers, p. 921-927 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electrocardiography

Exploring the use of optical flow for the study of functional NIRS signals

Fernandez Rojas, R., Huang, X., Ou, K. L. & Hernandez-Juarez, J. 13 Mar 2017 Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging: Proceedings of SPIE. Krol, A. & Gimi, B. (eds.). Bellingham, USA: SPIE, Vol. 10137, p. 1-8 8 p. 101372K

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Near infrared spectroscopy
Near-Infrared Spectroscopy
Optical flows
infrared spectroscopy
hemispheres
1 Citations

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Fernandez Rojas, R., Huang, X. & Ou, K. L. 1 Oct 2017 In : Journal of Biomedical Optics. 22, 10, p. 106013-1 - 106013-12 12 p., 106013

Research output: Contribution to journalArticle

Near infrared spectroscopy
pain
infrared spectroscopy
Neuroimaging
Support vector machines

Cortical activation investigation by optical flow and wavelet analysis using near-infrared spectroscopy

HUANG, X., FERNANDEZ ROJAS, R. & Ou, K-L. 2016 Sixth IEEE RAS/EMBS BioRob Conference. Kukreja, S. L. & Masia, L. (eds.). Singapore: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1, p. 1307-1311 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Near infrared spectroscopy
Optical flows
Wavelet analysis
Brain
Chemical activation