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• Biography/ Background

  Brian Ng received a BSc in Mathematics & Computer Science in 1996, B. Eng (Hons) in 1997 and a PhD in Electrical & Electronic Engineering in 2003, all from the University of Adelaide. His thesis advisor was Professor Abdessalam Bouzerdoum. During his studies, he was awarded the University of Adelaide medal for the top graduate in Electrical and Electronic Engineering. He joined the School of Electrical and Electronic Engineering in 2002. His research focus is digital signal processing and applications, and has made contributions to fields such as multirate signal processing, bio-inspired engineering, distributed sensor networks, and Terahertz spectroscopy and imaging. He is a member of the Adelaide Radar Research Centre and Centre for High Performance Integrated Technologies and Systems (CHiPTec).

  Brian is a member of the Institute of Electrical & Electronic Engineers (IEEE) and has served as Treasurer and Chair for the IEEE South Australian Section Communications and Signal Processing Chapter.

  Brian was born in Hong Kong. He can read and write Chinese and is also fluent in Cantonese.

• Qualifications

  Ph.D., B.E. (Hons), B. Sc. (Ma. & Comp. Sc.), University of Adelaide

• Awards & Achievements

  University of Adelaide Medal, 1997

  Faculty Prize for Excellence in Teaching, 2009

• Teaching Interests

  Research Skills Development (RSD), Assessment and Curriculum Design

• Research Interests

  Digital Signal Processing, Wavelets and Multirate Filterbanks, Terahertz time domain spectroscopy, bio-inspired engineering, engineering education.

• Publications

  Selected publications:

  Xiaoxia Yin; Ng, B.W.-H.; Zeitler, J.A.; Kieu Lien Nguyen; Gladden, L.F.; Abbott, D.; , "Local Computed Tomography Using a THz Quantum Cascade Laser," Sensors Journal, IEEE , vol.10, no.11, pp.1718-1731, Nov. 2010

  X. X. Yin, B. W.-H. Ng, and D. Abbott. “Pattern Recognition and Tomographic Reconstruction of Terahertz Signals: Applications in Biomedical Engineering”, Springer, US, (Book accepted on February 19, 2010 for publication).

  Png, G., Flook, R., Ng, B. W.-H., Abbott, D. “Terahertz spectroscopy of snap-frozen human brain tissue: an initial study”, Electronics Letters, 2009; 45(7), pp. 343-344.

  X. X. Yin, B. W.-H. Ng, B. Ferguson, and D. Abbott, “Wavelet based local tomographic image using terahertz techniques,” Digital Signal Processing, Vol. 19, No. 4, pp. 750-763, 2009.

  Png, G.M., Choi, J.W., Ng, B. W-H, Mickan, S.P., Abbott, D. and Zhang, X-C., “The impact of hydration changes in fresh bio-tissue on THz spectroscopic measurements”, Physics in Medicine and Biology, Vol. 53, No. 13, pp 3501-3517, July 2008.

  W. Withayachumnankul, G. Png, X. X. Yin, I. Jones, H. Lin, B. Ung, J. Balakrishnan, B. W.-H. Ng, B. Ferguson, S.P. Mickan, B.M. Fischer, and D. Abbott, “T-ray sensing and imaging,” Proceedings IEEE, Vol. 95, No. 8, pp. 1528-1558, 2007.

  X. X. Yin, K. M. Kong, J. W. Lim, B. W.-H. Ng, B. Ferguson, S. P. Mickan, and D. Abbott. “Enhanced T-ray signal classification using wavelet preprocessing,” Medical & Biological Engineering & Computing (Springer), Vol. 45, No. 6, pp. 611-616, 2007. 

  X. X. Yin, B. W.-H. Ng, B. Ferguson, S. P. Mickan and D. Abbott. “2-D wavelet segmentation in 3-D T-ray tomography,” IEEE Sensors Journal, Vol. 7, No. 3, pp. 342–343, 2007.

  X. X. Yin, B. W.-H. Ng, B. Fischer, B. Ferguson, and D. Abbott, “SVM applications in terahertz feature sets for identification of RNA data,” IEEE Sensors Journal, Vol. 7, No. 11-12, pp.1597-1608, 2007.

  X. X. Yin, B. W.-H. Ng, B. Fischer, B. Ferguson, and D. Abbott, “Application of auto-regressive models and wavelet sub-bands for classifying terahertz pulse measurements,” Journal of Biological Systems, Vol. 15, No. 4, pp. 551-571, 2007.

  Ma, H., Ng., B. W.-H., “Distributive Target Tracking in Wireless Sensor Networks under Measurement Origin Uncertainty”, Proceedings of the Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2007), Melbourne, December, 2007, pp. 299-304. [Best Student Paper award.]

• Professional Associations

  IEEE, Standards Australia

Entry last updated: Thursday, 12 Jan 2023

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