Professor Geoff Holmes
Pro Vice Chancellor- Health, Engineering, Computing, and Science
Qualifications: BSc(Hons) PhD S'ton
Phone: +64 7 838 4405
I received my degrees in Mathematics from the University of Southampton, England. My PhD involved the development of software packages to assist Mathematicians in solving Einstein's field equations in General Relativity. This was how I got started in Computer Science. After graduating I became a Research Assistant at the Electrical Engineering Department of Cambridge University, England where I was a member of large team working on a speech understanding system. I took up a position as Lecturer in Computer Science in 1987. In 1993 I was appointed Senior Lecturer.
My research interests are fairly broad. I have always held an interest in Computer Speech and have supervised several projects at Waikato on that topic, in particular, speech recognition and speech compression. I currently have two PhD students working on speech compression. I am part of the Department's Machine Learning group where I concentrate my efforts on the application of Machine Learning to agricultural domains. Through my interests in Machine Learning I have recently become very interested in the concept of knowledge discovery in databases.
Sharifi, N., Ali, M., Holmes, G., & Chen, Y. (2020). Blind Obstacle Avoidance Using Taxicab Geometry for NanorobotAssisted Direct Drug Targeting. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2020-July (pp. 4700-4703). doi:10.1109/EMBC44109.2020.9175165
Sharifi, N., Zhou, Y., Holmes, G., & Chen, Y. (2020). Overcoming Channel Uncertainties in Touchable Molecular Communication for Direct-Drug-Targeting-Assisted Immuno-Chemotherapy. IEEE Transactions on NanoBioscience, 19(2), 249-258. doi:10.1109/tnb.2019.2960068
Sharifi, N., Chen, Y., Holmes, G., Cheang, U. K., & Gong, Z. (2019). Model Predictive Control Strategy for Navigating Nanoswimmers in Blood Vessels Using Taxicab Geometry. In IEEE International Conference on Nano/Molecular Medicine and Engineering Vol. 2020-November (pp. 163-166). doi:10.1109/NANOMED49242.2019.9130625
Leathart, T., Frank, E., Pfahringer, B., & Holmes, G. (2019). On calibration of nested dichotomies. In Q. Yang, Z. -H. Zhou, Z. Gong, M. -L. Zhang, & S. -J. Huang (Eds.), Advances in Knowledge Discovery and Data Mining: Proc 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), LNCS 11439 Vol. Part I (pp. 69-80). Cham: Springer. doi:10.1007/978-3-030-16148-4_6
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