SCHOOL OF ENGINEERING AND COMPUTER SCIENCE

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, modelling the evolution of cooperative behaviour, and the development of reinforcement learning techniques for complex tasks. See also ECRG for evolutionary computing related research in the AI group.



Festival of Doubt

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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

Staff

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

Current Post-Graduate Students

Student topic degree supervisor
Anna Friedlander Detection of faint sources in radio astronomy images MSc Dr Marcus Frean, Chris Hollitt, and Melanie Johnston-Hollitt
Mona Hakami Automatic categorisation of transmitted speech quality PhD Baastian Kleine, Dr Marcus Frean
Arindam Bhakta Active vision PhD Dr Marcus Frean, Chris Hollitt, Dr Will Browne
Praveen Choppala Tracking multiple sources using particle filtering and the PHD filter PhD Dr Paul Teal, Dr Marcus Frean
Mahdi Setayesh Particle Swarm Optimisation for Image Recognition PhD Prof Mengjie Zhang and Mark Johnston
Keith Cassell Machine learning, knowledge representation and automated refactoring PhD Dr Peter Andreae and A/Prof Lindsay Groves
Son Nguyen Vietnamese Text Categorisation PhD Dr Peter Andreae and Dr Xiaoying Sharon Gao

Recent Completed Graduate Theses

Student Thesis degree supervisor
Urvesh Bhowan Genetic Programming for Classification with Unbalanced Data PhD Prof Mengjie Zhang and Mark Johnston
Will Smart Genetic programming PhD Prof Mengjie Zhang and Dr Peter Andreae
Yun Zhang Learning and Knowledge Transfer in Recommender Systems PhD Dr Peter Andreae
Daniel Crabtree Web clustering and search PhD Dr Xiaoying Sharon Gao and Dr Peter Andreae
Maciej Wojnar Learning actions in complex worlds PhD Dr Peter Andreae
Adam Clarke Machine Learning for complex worlds MSc Dr Peter Andreae
James Bebbington Reinforcement learning and Restricted Boltzmann Machines MSc Dr Marcus Frean
Rohitash Chandra Learning algorithms for recurrent neural networks PhD Dr Marcus Frean and Prof Mengjie Zhang
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

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