Associate Professor 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: https://hdl.handle.net/10289/14147
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
Keywords
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