Artificial Intelligence at Victoria

The artificial intelligence group carries out research in Machine Learning, Neural Networks, Cognitive Science, and Data Mining. Active projects include a system for automatic clustering of temporal data, analysing the evolution of cooperative behaviour, and the development of reinforcement learning techniques for complex tasks.

Evolutionary computing related research including genetic programming, learning classfier systems, particle swarm optimisation, multi-objective optimisation, evolutionary image analysis and art can be seen from ECRG.

Festival of Doubt The Festival of Doubt - our informal discussion series. AI Courses at Victoria COMP 307 Introduction to AI COMP 421 Machine Learning COMP 422 Data mining, neural nets, and genetic programming COMP 423 Intelligent agents Special Topic Complex adaptive systems (by arrangement only)

Staff Dr Peter Andreae ("Pondy") learning to act from examples learning in complex worlds clustering Dr Will Browne machine learning Cognitive Robotics Learning Classifier Systems Dr Marcus Frean machine learning complex adaptive systems evolution Dr Xiaoying Sharon Gao web information extraction knowledge-based systems machine learning A/Prof Mengjie Zhang data mining, machine learning genetic programming Evolutionary Computation computer vision

Current Post-Graduate Students

Recent Completed Graduate Theses