NZCDP(Stage III), BSc, PGCertTertT, PGDipSci, MSc, PhD (Otago)
Background and interests
Dr Brendon Woodford lectures in the diverse areas of knowledge engineering, machine learning, information systems development, and health informatics.
He conducts research for the Knowledge, Intelligence and Web Informatics (KIWI) Laboratory in the areas of artificial neural networks, fuzzy systems, data visualisation, and image processing and recognition. Since 1998 the overall aim of this research is in the area of computational intelligence. The main objective of his work has been to create adaptive learning systems which generate new knowledge from data that they process and allow for improved decision making in difficult real-world domains.
In the past the application of this work has been improving upon existing machine learning techniques to support decision making and data mining primarily in the horticultural domain but the current focus in now in the health data analytics domain.
This research has contributed to 27 publications to date in both international journals and in some of the top international conferences. In 2008 he completed a PhD which primarily looked at the development and implementation of intelligent decision support systems for New Zealand’s horticulture industry.
Dr Woodford is also a member of the research group:
Intelligent Computing and Networking
- COMP 111 Information and Communications Technology
- COMP 120 Practical Data Science
- INFO 204 Introduction to Data Science
- INFO 411 Machine Learning and Data Mining
- Nuzla Ismail
- Ahmad Shahi