PROF Tony Wirth

PROF Tony Wirth


  • 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.   


Member of

  • ACM SIG Algorithms and Computation Theory. Professional Member 2005 -
  • ACM SIG Computer Science Education. Professional Member 2005 -
  • Association for Computing Machinery. Professional Member 2005 -


Selected publications


Investigator on

Additional Grant Information

  • 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                              


Education and training

  • PhD, Princeton University 2005
  • MA, Princeton University 2002
  • MSc, University of Melbourne 2001
  • BSc (Hons), University of Melbourne 1999

Awards and honors

  • Gordon Wu Fellowship, Princeton University, 2000



Available for supervision

  • Y

Supervision Statement

  • I am keen to supervise students in theoretical and algorithmic computer science. My projects tend to have a mathematical flavour, but can also involve significant algorithmic engineering.