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
	Prof Mengjie Zhang data mining, machine learning genetic programming Evolutionary Computation computer vision

Current Post-Graduate Students

Student	topic	degree	supervisor
James Bebbington	Reinforcement learning and Restricted Boltzmann Machines	MSc	Dr Marcus Frean
Urvesh Bhowan	Genetic Programming for Classification with Unbalanced Data	PhD	Prof Mengjie Zhang and Mark Johnston
Mahdi Setayesh	Particle Swarm Optimisation for Image Recognition	PhD	Prof Mengjie Zhang and Mark Johnston
Rohitash Chandra	Learning algorithms for recurrent neural networks	PhD	Dr Marcus Frean and Prof Mengjie Zhang
Keith Cassell	Machine learning, knowledge representation and automated refactoring	PhD	Dr Peter Andreae and A/Prof Lindsay Groves
Adam Clarke	Machine Learning for complex worlds	MSc	Dr Peter Andreae
Daniel Crabtree	Web clustering and search	PhD	Dr Xiaoying Sharon Gao and Dr Peter Andreae
Son Nguyen	Vietnamese Text Categorisation	PhD	Dr Peter Andreae and Dr Xiaoying Sharon Gao
Kourosh Neshatian	Feature Manipulation via Genetic Programming	PhD	Prof Mengjie Zhang
Will Smart	Genetic programming	PhD	Prof Mengjie Zhang and Dr Peter Andreae
Maciej Wojnar	Learning actions in complex worlds	PhD	Dr Peter Andreae
Yun Zhang	Learning and Knowledge Transfer in Recommender Systems	PhD	Dr Peter Andreae

Recent Completed Graduate Theses

Student	Thesis	degree	supervisor
Sergio Hernandez	Multiple target tracking algorithms	PhD	Dr Marcus Frean and Dr Paul Teal
Huayang Xie (Jason)	An Analysis of Selection in Genetic Programming	PhD	Prof Mengjie Zhang and Dr Peter Andreae
Phillip Wong	Program Simplification in Genetic Programming	MSc	Prof Mengjie Zhang
Richard Mansfield	Stability and evolution in rock-paper-scissors ecologies	PhD	Dr Marcus Frean
Phillip Boyle	Gaussian Processes for Regression and Optimization	PhD	Dr Marcus Frean
Thomas Roehr	Control of a hierarchical team of robots for Urban Search and Rescue	MSc	Dr Peter Andreae and Prof Dale Carnegie
Tim Field	Policy-gradient learning for motor control	MSc	Dr Marcus Frean
Russell Tod	Online Unsupervised Learning with Spiking Neurons	MSc	Dr Marcus Frean
Jeromé Dolman	Exploring mechanisms of retino-tectal development	MSc	Dr Marcus Frean
Huayang Xie	Speech recognition for ESOL	MSc	Prof Mengjie Zhang and Dr Peter Andreae
Mukhlis Matti	Clustering algorithms	MSc	Dr Peter Andreae

Print version | Backlinks

SCHOOL OF ENGINEERING AND COMPUTER SCIENCE