Professor Geoff Holmes
Pro Vice Chancellor- Health, Engineering, Computing, and Science
Qualifications: BSc(Hons) PhD S'ton
Contact Details
Email: geoff@waikato.ac.nz
Room: FG.1.01
Phone: +64 7 838 4405
Extension: 4405
About Geoff
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.
Research Interests
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.
Recent Publications
Sharifi, N., Gong, Z., Holmes, G., & Chen, Y. (2021). A feasibility study of in vivo control and tracking of microrobot using taxicab geometry for direct drug targeting. IEEE Transactions on NanoBioscience, 20(2), 235-245. doi:10.1109/TNB.2021.3062006
Read, J., Pfahringer, B., Holmes, G., & Frank, E. (2021). Classifier chains: A review and perspectives. Journal of Artificial Intelligence Research, 70, 683-718. doi:10.1613/jair.1.12376
Mitchell, R., Frank, E., & Holmes, G. (2021). An empirical study of moment estimators for quantile approximation. ACM Transactions on Database Systems, 46(1), 1-21. doi:10.1145/3442337
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
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