Peter Andreae

Associate Professor School of Engineering and Computer Science

Teaching in 2017

Peter Andreae profile picture


My calendar and the school seminar calendar


My office is CO 336, which is on the 3rd floor of the Cotton building. The Cotton Building is at location J on this google map (or grid reference h15 on this campus map). You can enter the Cotton building via the Hub, or from Gate 7 Kelburn Parade (straight through the roundabout if you come up Kelburn Pde from the city and then first on the left). Note that there is construction just outside my building, and there is no parking.


I have been connected to Artificial Intelligence for a very long time -- my father has been doing research in Machine Learning since the early 1960's.

My first degree was in Electrical Engineering from the University of Canterbury (New Zealand). I then went to M.I.T. (Massachusetts Institute of Technology) and did a Masters (on a topic in complexity) and a PhD, in Machine Learning (finished in 1984).

Since then I have been in Computer Science here at Victoria University of Wellington, first in the Department of Computer Science, then in the merged School of Mathematics, Statistics, and Computer Science, and now in the School of Engineering and Computer Science.

Research Interests

My research interests lie in machine learning, particularly learning from complex structured information.

  • My longstanding interest is in intelligent agents that learn within richly structured worlds, generalise from past experience, and have novel exploratory behaviours.
  • I have done various projects in the area of clustering algorithms, including applications in bioinformatics, web search, and clustering logs of internet attacks.

See also a list of thesis and project students (with links to their theses) and the Artificial Intelligence Group pages that include other staff and projects in related areas.


For a list of my recent publications, please see the Publications Database. or my personal list of Publications and my PhD thesis (PostScript file - 20.8 MB)