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.
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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 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.
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Collaborations
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 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
- Signostics
- Snap Surveillance
- Sydac
- Tenix
- 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
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Our researchers
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.
Research team
Expertise
Computer vision and robotics; Machine learning and artificial intelligence; Medical image analysis
Computer vision and robotics; Machine learning and artificial intelligence
Computer vision and robotics; Machine learning and artificial intelligence
Dr Lingqiao Liu
Computer vision and robotics; Machine learning and artificial intelligence
Computer vision and robotics; Machine learning and artificial intelligence
Optimisation and logistics; Machine learning and artificial intelligence
Optimisation and logistics; Machine learning and artificial intelligence
Associate Professor Hung Nguyen
Data analytics; Cybersecurity
Computer vision and robotics; Machine learning and artificial intelligence
Computer vision and robotics; Machine learning and artificial intelligence
Computer vision and robotics; Machine learning and artificial intelligence
Optimisation and logistics; Software engineering; Machine learning and artificial intelligence
Computer vision and robotics; Machine learning and artificial intelligence
Higher degrees by research
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 or Doctor of Philosophy.