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 - Technology for the New Millenium
  • ELECTENG 210 - Electronics 1
  • ELECTENG 706 - Digital Signal Processing
  • ELECTENG 733 - Signal Processing

Postgraduate supervision

Current PhD Candidates

  • John Atkins
  • Duncan Eason
  • William Lee

Committees/Professional groups/Services

Forensic and Biometric Signal Processing Research Group

Selected publications and creative works (Research Outputs)

  • Andrews, M., & Kakarala, R. (2015). Shape simplification through polygonal approximation in the Fourier domain. INTELLIGENT ROBOTS AND COMPUTER VISION XXXII: ALGORITHMS AND TECHNIQUES, 940610.1117/12.2078148
  • Eason, D. T., & Andrews, M. (2015). Total variation regularization via continuation to recover compressed hyperspectral images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 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. 10.1109/ICIP.2014.7025262
  • Lee, W. Y.-L., & Andrews, M. (2014). BLIND SPECTRAL UNMIXING FOR COMPRESSIVE HYPERSPECTRAL IMAGING OF HIGHLY MIXED DATA. Paper presented at IEEE International Conference on Image Processing (ICIP), Paris, FRANCE. 27 October - 30 October 2014. 2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). (pp. 5).
  • Eason, D., & Andrews, M. (2014). COMPRESSED HYPERSPECTRAL IMAGE RECOVERY VIA TOTAL VARIATION REGULARIZATION ASSUMING LINEAR MIXING. Paper presented at IEEE International Conference on Image Processing (ICIP), Paris, FRANCE. 27 October - 30 October 2014. 2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). (pp. 5).
  • 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), 99-99. 10.1504/IJCAT.2014.063912
    Other University of Auckland co-authors: Kevin I-Kai Wang, Zoran Salcic
  • 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), 3845-3848. 10.1109/TIP.2012.2219546
  • Roper, T., & Andrews, M. (2013). Shadow modelling and correction techniques in hyperspectral imaging. Electronics Letters, 49 (7), 477-479. 10.1049/el.2012.4406