Machine Learning and Artificial Intelligence
Based in the Australian Institute of Machine Learning, our Machine Learning and Artificial Intelligence research group develops and applies methods that enable machines to self-learn, in order to replicate human intelligence.
Working predominantly with ‘big data’, our Machine Learning and Artificial Intelligence group’s researchers focus on core machine learning theory, as well as text analysis, image understanding, and other applications. We also develop algorithms that allow machines to describe and reason about what they see, and plan actions accordingly.
We apply our research to:
- understand human-, object- and machine-object interactions
- develop large-scale semantic environmental maps.
Recent breakthroughs in deep learning have allowed the group to tackle new visual learning problems. For example, one area of uncertainty we are investigating is how deep learning works in relation to:
- effective transfer learning
- probabilistic graphical models
- efficient training and inference algorithms.
Our Machine Learning and Artificial Intelligence group’s applied research has been decisive in providing solutions to prominent modern-day challenges. This has resulted in:
- multiple award-winning conference papers being published, and articles in high-quality journals
- a spin-out company, Snap Network Surveillance, being formed to commercialise innovative technology enabling video captured by large camera networks to be used more effectively for live and forensic purposes.
Strong industry links
Our Machine Learning and Artificial Intelligence research group collaborates with the private and public sector, including:
- multinational defence companies
- local government agencies
- medical imaging companies.
We have expertise across a wide range of areas. Many of our researchers are available to assist with research project supervision for Master of Philosophy and Doctor of Philosophy students. To enquire about consulting services or working with us on a research project, please contact the researchers listed below.
|Associate Professor Gustavo Carneiro||Computer vision and robotics; Machine learning and artificial intelligence; Medical image analysis|
|Associate Professor Tat-Jun Chin||Computer vision and robotics; Machine learning and artificial intelligence|
|Dr Anthony Dick|
|Dr Lingqiao Liu|
|Professor Ian Reid|
|Professor Chunhua Shen||Computer vision and robotics; Machine learning and artificial intelligence|
|Associate Professor Qinfeng (Javen) Shi||Computer vision and robotics; Machine learning and artificial intelligence|
|Professor Anton van den Hengel|
|Professor Frank Neumann|
|Dr Markus Wagner||Optimisation and logistics; Software engineering; Machine learning and artificial intelligence|
|Dr Qi Wu||Computer vision and robotics; Machine learning and artificial intelligence|
|Dr Aneta Neumann||Machine learning and artificial intelligence, Optimisation and logistics|