We advance research success through cross-disciplinary defence partnerships.
Our research advances technologies in automation and system optimisation for robotics. We use quantum technologies to extend performance in sensing and computing. And our researchers are experts in natural language processing and explainable AI.
The University of Melbourne’s research enhances the safety of our defence personnel and strengthens our sovereign capabilities.
The University of Melbourne is at the forefront of autonomous systems research for defence and civilian uses. We have developed a world-first web-mapping system, radar-on-a-chip technology and optimal platform and controller designs for defence. Our research advances technologies in automation, control systems and machine learning, system optimisation for robotics, and swarms of networked distributed autonomous systems.
Quantum sensors and computation
We design, fabricate and analyse materials and devices for quantum technology. We extend performance capabilities beyond the limit of current technologies in fields such as sensing, metrology, communications, computing and simulation. Our research underpins autonomous systems development. We have also developed miniature, highly sensitive sensors based on quantum technologies.
Artificial intelligence
Our researchers are experts in natural language processing, machine learning and explainable AI. We consider how humans and machines can work together. We also examine the ethical and legal aspects of AI. With sector-specific capabilities in mining, finance, manufacturing and biomedicine, we undertake robust testing of new AI systems before they are implemented.
Explainable machine learning
Representation learning, a machine learning process, extracts high-level representations from data. It enables accurate predictions in many applications. We are improving representation learning techniques for more efficient transfer learning, out-of-distribution generalisation and explainable learning.
Cryptography and blockchain
The University of Melbourne has experts in cryptography and blockchain modelling.
First published on 22 March 2024.
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