Algorithms (Algorithms for processing text; graph algorithms; streaming algorithms)
Data Mining and Machine Learning
Psychophysical Testing (Psychometric Function Estimation)
Dr Tony Wirth is Professor in the School of Computing and Information Systems at The University of Melbourne.
He completed a BSc(Hons) and MSc at the University of Melbourne; supported by a Gordon Wu Fellowship, he completed an MA and PhD at Princeton University. Wirth has previously been the Seminar and Excellence Coordinator in the Department of Computer Science and Software Engineering. Wirth has a significant publication record in, amongst others, approximation and graph algorithms, bioinformatics, and data mining. He has refereed for numerous international journals and served on several conference program committees. Wirth's teaching has been commended both at the department and school level.
2010: A. Wirth, J. Mathews and J. McCaw, 'Estimation of parameters in multi-wave stochastic disease transmission models', Interdisciplinary Seed Grant, Victorian Life Sciences Computation Initiative (VLSCI), University of Melbourne, $50K
2006: A. Wirth, 'Analyzing algorithms for clustering with advice', Early Career Researcher Grant, University of Melbourne, $30K