Machine Learning and Artificial Intelligence
Based in the Australian Institute for 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
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Research impact
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 ML and AI group’s applied research has been decisive in providing solutions to prominent modern-day challenges.
This has resulted in:
- Snap Network Surveillance being founded to commercialise pioneering technology enabling large camera networks to use video captured more efficiently for live and forensic purposes
- multiple award-winning conference papers being published, and articles in top-tier journals
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Lead researchers
Research team Expertise Professor Gustavo Carneiro Computer vision and robotics; Machine learning and artificial intelligence; Medical image analysis Professor Tat-Jun Chin Computer vision and robotics; Machine learning and artificial intelligence Associate Professor Anthony Dick Computer vision and robotics; Machine learning and artificial intelligence Dr Lingqiao Liu Computer vision and robotics; Machine learning and artificial intelligence Dr Yifan Liu Computer vision and robotics; Machine learning and artificial intelligence Professor Frank Neumann Optimisation and logistics; Machine learning and artificial intelligence Dr Aneta Neumann Optimisation and logistics; Machine learning and artificial intelligence Associate Professor Hung Nguyen Data analytics; Cybersecurity Professor Ian Reid Computer vision and robotics; Machine learning and artificial intelligence Professor Javen Qinfeng Shi Computer vision and robotics; Machine learning and artificial intelligence Professor Anton van den Hengel Computer vision and robotics; Machine learning and artificial intelligence Dr Qi Wu Computer vision and robotics; Machine learning and artificial intelligence Professor Dino Sejdinovic Statistical machine learning -
Collaboration
Our research group collaborates with the private and public sector, including:
- multinational defence companies
- local government agencies
- medical imaging companies
We collaborate with various industry and government organisations, including:
- BAE Systems
- Bayer CropScience
- BHP
- Carl Zeiss Vision
- CSIRO
- Data61
- Defence Science and Technology (DST) Group
- LBT Innovations
- Maptek
- Snap Surveillance
- Sydac
- Australian Institute of Sport (AIS)
- Tennis Australia
- South Australian Sports Institute (SASI)
- Table Tennis Australia (TTA)
- Paralympics Australia
- Victorian Institute of Sport (VIS)
- AirborneLogic
- Wine Australia
- Riverland Wine
- Australian Wine Research Institute
- OZ Minerals
- Australian Grain Technologies
- MEQ Probe
- Carnegie Clean Energy
- Department of Primary Industries and Regions (PIRSA)
- Department for Energy and Mining
Higher degree by research opportunities
Whether you intend to work in research or industry, a higher degree by research can give you a competitive edge throughout your career.
Find out more about studying a Master of Philosophy Master of Philosophy (MPhil) or Doctor of Philosophy (PhD).