Approximate authentication systems for digital information. Assurance about the origin and integrity of digital content is crucial not only in high security applications but also in everyday life scenarios such as providing proof that an X-ray image presented as part of an insurance claim is authentic, or a news clip is not tampered with. The outcomes of this project will significantly enhance trustworthiness of multimedia information systems which are increasingly used in areas such as surveil ....Approximate authentication systems for digital information. Assurance about the origin and integrity of digital content is crucial not only in high security applications but also in everyday life scenarios such as providing proof that an X-ray image presented as part of an insurance claim is authentic, or a news clip is not tampered with. The outcomes of this project will significantly enhance trustworthiness of multimedia information systems which are increasingly used in areas such as surveillance (traffic control), health, digital content production and distribution, tourism and journalism. It will also result in the development of secure biometric authentication systems which are critical in securing cyber space.Read moreRead less
Trustworthy Sensor Networks: Theory and Implementation. The fundamental importance of this project is that we are developing algorithms for wireless sensor networks (WSNs) that provide accurate and trustworthy data to Australian researchers and users, so that they have confidence in the analysis of their data. The algorithms developed in this proposal will become essential for any large scale WSN. The research significantly leverages the resources of our international partners who complement our ....Trustworthy Sensor Networks: Theory and Implementation. The fundamental importance of this project is that we are developing algorithms for wireless sensor networks (WSNs) that provide accurate and trustworthy data to Australian researchers and users, so that they have confidence in the analysis of their data. The algorithms developed in this proposal will become essential for any large scale WSN. The research significantly leverages the resources of our international partners who complement our work with several million dollars of investment. The result will put Australia on the international stage as a significant contributor to WSN technologies. By training PhD students, the project will also enrich local expertise in the technologies.Read moreRead less
Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101266
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Low-complexity factor-graph-based receiver design for bandwidth-efficient communication systems over doubly selective channels. This project aims to solve challenging problems in future wireless communications using graph-based signal processing techniques. It will provide practical solutions for future broadband mobile communications to the bush and high-speed underwater acoustic communications in the oceans that are particularly important to Australia.
Iterative subspace expansions for space-time adaptive wireless communications, radar and sonar. This project addresses the fundamental challenge of high receiver complexity for bandwidth-efficient, high data-rate wireless communications, radar and sonar. We do this by designing the signal transmissions so that smart receivers can detect the signals in "warp speed". We expect these results to have an immediate impact on the design of next generation communications technologies. Information and Co ....Iterative subspace expansions for space-time adaptive wireless communications, radar and sonar. This project addresses the fundamental challenge of high receiver complexity for bandwidth-efficient, high data-rate wireless communications, radar and sonar. We do this by designing the signal transmissions so that smart receivers can detect the signals in "warp speed". We expect these results to have an immediate impact on the design of next generation communications technologies. Information and Communications Technology (ICT) has been recognised by the Australian Government as a National Research Priority. This research project will contribute to the intellectual property in ICT held by Australia, and help supply Australian industries with the knowledge necessary to participate in the development of frontier technologies.Read moreRead less
Blind separation of mutually correlated sources. This project is aimed at developing novel techniques for blind separation of mutually correlated sources. The expected outcomes will significantly advance the theory of blind source separation and improve the performance of important practical systems, such as densely deployed sensor networks and wireless video surveillance systems.
Discovery Early Career Researcher Award - Grant ID: DE120102388
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
From Bayesian filtering to smoothing and prediction for multiple object systems. This project will develop new and improved algorithms for tracking multiple targets, such as tanks, submarines or planes, using the state of the art in mathematical and computational design. These will enable more efficient and accurate technologies for defence related applications including intelligence, surveillance and reconnaissance.
Parameter estimation for multi-object systems. Parameter estimation in multi-object system is essential to the application of multi-object filtering to a wider range of practical problems with social and commercial benefits. This project develops the necessary parameter estimation techniques for complete 'plug-and-play' multi-object filtering solutions that facilitates widespread applications.
Mathematical Foundations of Distributed Radar. Conventional military threats to Australia are large or fast moving objects such as ships and aircraft and conventional radar systems are designed to handle such threats. Recent global political shifts have changed the threats to include objects that are small and slowly moving, such as people, small vehicles and boats. Advances in radar hardware make feasible small, low-powered, devices with inherently reduced performance in comparison to deployed ....Mathematical Foundations of Distributed Radar. Conventional military threats to Australia are large or fast moving objects such as ships and aircraft and conventional radar systems are designed to handle such threats. Recent global political shifts have changed the threats to include objects that are small and slowly moving, such as people, small vehicles and boats. Advances in radar hardware make feasible small, low-powered, devices with inherently reduced performance in comparison to deployed systems. Methods for information integration over a dispersed system of such small devices, design of suitable waveform suites and clever local signal processing algorithms will be developed to achieve the performance improvements the hardware offers, to handle the new threats.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less