Associate Professor Michael Cree

Michael Cree

Associate Professor

Qualifications: BSc(Hons) PhD Canterbury MACPSEM MACM SMIEEE

Papers Taught

Research Supervised

Current PhD Students

Currently Under Examination:

Gehan Anthonys (Jitter in Full-Field AMCW Range Imaging Cameras)

Chief Supervisor for:

Nilakshi Dissanayake (Measurement of UV penetration in floc and floc properties using fluorescence intensity and lifetime techniques)

Amir Mukhtar (Automated Detection of Pedestrians with Disability Aids)

Mark Wang

Research Interests

I am an active member of the Waikato Robotics, Automation and Sensing (WaiRAS) Research Group.

My research interests mainly focus around image processing and machine vision including medical and retinal imaging, 3D time-of-flight range imaging and pattern recognition.

Recent Publications

  • Gong, Z., Chen, Y., Sun, Y., Xiao, Y., & Cree, M. J. (2021). Fuzzy-logic-inspired Multi-contrast-agent Strategy for Optimal Tumor Classification. In Proceedings of the IEEE Conference on Nanotechnology Vol. 2021-July (pp. 314-317). doi:10.1109/NANO51122.2021.9514336

  • Gouk, H., Frank, E., Pfahringer, B., & Cree, M. J. (2021). Regularisation of neural networks by enforcing Lipschitz continuity. Machine Learning, 110, 393-416. doi:10.1007/s10994-020-05929-w Open Access version:

  • Mozhaeva, A. I., Vlasuyk, I. V., Potashnikov, A. M., Cree, M. J., & Streeter, L. (2021). The Method and Devices for Research the Parameters of the Human Visual System to Video Quality Assessment. In 2021 Systems of Signals Generating and Processing in the Field of on Board Communications, Conference Proceedings. doi:10.1109/IEEECONF51389.2021.9416081

  • Ali, M., Chen, Y., & Cree, M. J. (2021). Autonomous In vivo Computation in Internet-of-Nano-Bio-Things. IEEE Internet of Things Journal. doi:10.1109/JIOT.2021.3111089

Find more research publications by Michael Cree


Computing; Electronics; Engineering; Machine Learning; Physics

Machine Vision, time-of-flight range imaging

Contact Details

Email: [email protected]
Room: DE.2.02
Phone: +64 7 838 4301