Situated Anomaly Detection in an Open Environment. This project aims to investigate situated anomaly detection in an open environment. Existing anomaly detection techniques follow the setting of conventional machine learning and discover anomalies from a set of collected data. In contrast, this project proposes to develop the next-generation of anomaly detection algorithms by learning from interactions with an open environment, which enables the discovery of new anomalies and the early detection ....Situated Anomaly Detection in an Open Environment. This project aims to investigate situated anomaly detection in an open environment. Existing anomaly detection techniques follow the setting of conventional machine learning and discover anomalies from a set of collected data. In contrast, this project proposes to develop the next-generation of anomaly detection algorithms by learning from interactions with an open environment, which enables the discovery of new anomalies and the early detection of anomalies. The established theories and developed algorithms will advance frontier technologies in machine intelligence. The success of the project will contribute to a wide range of real applications in cybersecurity, defence and finance, bringing massive social and economic benefits. Read moreRead less
Rethinking Topological Persistence. This project aims to address the lack of transferability and uncertainty-awareness in AI models. Despite their success, AI models are met with bias and uncertainty when deployed in the real world. As a result, they are rarely used in high-risk industries like cybersecurity or transport. This project expects to build uncertainty-awareness into models by teaching them to return UNKNOWN when they encounter a previously unseen thing, instead of misclassifying it. ....Rethinking Topological Persistence. This project aims to address the lack of transferability and uncertainty-awareness in AI models. Despite their success, AI models are met with bias and uncertainty when deployed in the real world. As a result, they are rarely used in high-risk industries like cybersecurity or transport. This project expects to build uncertainty-awareness into models by teaching them to return UNKNOWN when they encounter a previously unseen thing, instead of misclassifying it. Further, the evaluation methods to be developed will not rely on access to test data, allowing cost-effective, private, and safe AI for high-stakes decision support. The outcomes will benefit Australia by accelerating economic investment and fostering greater social acceptance of AI.Read moreRead less
Advanced model-based control for ultra-fast and ultra-high-precision nanoscale positioning. Australia faces unique challenges due to its small population and distance from international markets. To maintain a high standard of living Australia needs to further develop its high-tech base particularly in emerging fields such as nanotechnology. This research program is aimed at placing Australia at the forefront of international research in nanoscale positioning systems by building a world-class tea ....Advanced model-based control for ultra-fast and ultra-high-precision nanoscale positioning. Australia faces unique challenges due to its small population and distance from international markets. To maintain a high standard of living Australia needs to further develop its high-tech base particularly in emerging fields such as nanotechnology. This research program is aimed at placing Australia at the forefront of international research in nanoscale positioning systems by building a world-class team of talented researchers and equipping them with world-class research infrastructure. The global market for nanotechnology is projected to be in the tens of billions of dollars by 2020. The proposed research will enhance Australia's competitive advantage through high-impact scientific and technological innovations in nanotechnology.Read moreRead less
Homomorphic cryptography: computing on encrypted data. This project is driven by the groundbreaking applications of a new cryptographic technology that allows analysis of encrypted (scrambled) data without needing to decrypt (unscramble) it first. The results of this project can be used to enable secure remote data storage, electronic auctions and voting, and protecting medical records.
Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected ....Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected outcomes include new-generation theories and methods for the unsupervised learning of complex interactions in real-life big data, which are anticipated to enable the intrinsic processing of big data complexities and substantially enhance Australia’s leadership in frontier data science research and applications. Read moreRead less
Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate an ....Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate and ubiquitous communication services. This project aims to produce new theoretical results in the field of communication theory, and efficient practical coding schemes for wireless communications.Read moreRead less
Next-generation techniques for analysing massive data sets. To process enormous amounts of data, leading computing companies are turning to modern computing frameworks, for which little theory of efficient computational techniques has been developed. This project will resolve key theoretical questions and provide fast techniques for poorly understood pattern recognition and bioinformatics problems.
A silicon-compatible light source on a silicon-on-insulator platform. Silicon is emerging as an important photonic material owing to the cheap processing methods developed for electronics. This project aims to capture key technology for integrating photonic components onto silicon. It can bring social and commercial benefits to Australia such as high-level research as well as opportunities for commercialisation.
Autonomous body sensors in humans: investigating new bio-sensing techniques with self-power generation. Using advanced integrated electronic and mechanical systems, it is now possible to design small biomedical sensors that can be inserted into the body to take biological measurements. This project introduces a new kind of bio-sensors with self-energy generation capability and reduces the need for periodic battery replacement. New wireless and circuit techniques are investigated to reduce power ....Autonomous body sensors in humans: investigating new bio-sensing techniques with self-power generation. Using advanced integrated electronic and mechanical systems, it is now possible to design small biomedical sensors that can be inserted into the body to take biological measurements. This project introduces a new kind of bio-sensors with self-energy generation capability and reduces the need for periodic battery replacement. New wireless and circuit techniques are investigated to reduce power consumption and physical dimensions, while providing a better performance and a safer wireless link. The project aims to deliver high level of comfort, better mobility and better patient care.Read moreRead less
New high-performance iterative error correction codes. This project develops new error correction codes to underpin the success of next-generation communications technologies. The nature of the project presents significant potential for project outcomes to be beneficial to the Australian telecommunications industry in a wide range of application areas from optical communication to digital broadcasting.