Peter Andreae

Dr Peter Andreae

Senior Lecturer
School of Engineering and Computer Science
address

Availability

My calendar and the school seminar calendar

Location/maps

My office is CO 222, which is on the 2nd floor of the Cotton building. You can download a The Cotton Building is at grid reference h15 of the Kelburn Campus map (pdf document - 4.5 MB). Enter from Kelburn Parade at Gate 6 (left at the roundabout if you come up Kelburn Pde from the city).

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Biography

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.
• I have collaborated with the Deaf Studies Research Unit, building an online version of the New Zealand Sign Language Dictionary.

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.

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Publications

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)

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