Dr Mark Andrews

BE (Electrical and Electronic Engineering) PhD (Engineering)

Biography

Dr Mark Andrews is currently a senior lecturer in the Department of Electrical and Computer Engineering at the University of Auckland.

Research | Current

  • Hyperspectral image processing
  • One- and two-dimensional signal processing
  • Image processing
  • Computer vision

Teaching | Current

  • ENGGEN 100G - Technological Choices for the Future​
  • ELECTENG 210 - Electronics 1
  • ELECTENG 305 - Applied Electronics
  • ELECTENG 736 - Analog and Digital Filter Synthesis

Postgraduate supervision

Current PhD Candidates

  • Nicholas Mok

Current ME Students

  • Peng Cao

Responsibilities

Programme Director for Electrical and Electrinc Engineering

Committees/Professional groups/Services

Forensic and Biometric Signal Processing Research Group

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Andrews, M., & Kakarala, R. (2015). Shape simplification through polygonal approximation in the Fourier domain. In J. Roning, D. Casasent (Eds.) Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 9406 San Francisco, CA, USA: SPIE-INT SOC OPTICAL ENGINEERING. 10.1117/12.2078148
  • Eason, D. T., & Andrews, M. (2015). Total variation regularization via continuation to recover compressed hyperspectral images. IEEE Transactions on Image Processing, 24 (1), 284-293. 10.1109/TIP.2014.2376273
  • Lee, W. Y. L., & Andrews, M. (2014). Blind spectral unmixing for compressive hyperspectral imaging of highly mixed data. 2014 IEEE International Conference on Image Processing, ICIP 2014, 1312-1316. Paris, France: IEEE. 10.1109/ICIP.2014.7025262
    Other University of Auckland co-authors: William Lee
  • Lee, W. Y.-L., & Andrews, M. (2014). Blind spectral unmixing for compressive hyperspectral imaging of highly mixed data. 2014 IEEE International Conference on Image Processing, ICIP 2014, 1312-1316. Paris, France: IEEE. 10.1109/ICIP.2014.7025262
    Other University of Auckland co-authors: William Lee
  • Eason, D., & Andrews, M. (2014). Compressed hyperspectral image recovery via total variation regularization assuming linear mixing. 2014 IEEE International Conference on Image Processing, ICIP 2014, 620-624. Paris, France: IEEE. 10.1109/ICIP.2014.7025124
  • Wang, K. I. K., Andrews, M., Salcic, Z., Bates, A., Scott, T., Akagi, J., & Wlodkowic, D. (2014). Unsupervised image analysis for zebrafish embryogenesis using lab-on-A-chip embryo arrays. International Journal of Computer Applications in Technology, 50 (1-2), 99-112. 10.1504/IJCAT.2014.063912
    Other University of Auckland co-authors: Kevin I-Kai Wang, Zoran Salcic
  • Roper, T., & Andrews, M. (2013). Shadow modelling and correction techniques in hyperspectral imaging. Electronics Letters, 49 (7), 477-479. 10.1049/el.2012.4406
  • Dowler, S. W., Takashima, R., & Andrews, M. (2013). Reducing the complexity of the N-FINDR algorithm for hyperspectral image analysis. IEEE Transactions on Image Processing, 22 (7), 2835-2848. 10.1109/TIP.2012.2219546

Contact details

Primary office location

ENGINEERING BLOCK 5 - Bldg 405
Level 7, Room 763
5 GRAFTON RD
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand