Tunable metamaterials for terahertz and infrared applications. This project proposes novel low-cost miniature devices for spectroscopic, spatial, and temporal manipulation of infrared and terahertz waves, which are important for security and short range communication applications. By enabling the modulation of infrared and terahertz signals, the intended outcome is a platform for imaging applications, detection of chemical composition of objects, and future high-bandwidth communications. Using m ....Tunable metamaterials for terahertz and infrared applications. This project proposes novel low-cost miniature devices for spectroscopic, spatial, and temporal manipulation of infrared and terahertz waves, which are important for security and short range communication applications. By enabling the modulation of infrared and terahertz signals, the intended outcome is a platform for imaging applications, detection of chemical composition of objects, and future high-bandwidth communications. Using microfabrication techniques, the project plans to create metamaterials integrated with micro-electro-mechanical systems, which dynamically vary their electromagnetic properties. This technology would enable the creation of new devices that can controllably absorb, reflect or transmit infrared and terahertz signals.Read moreRead less
Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on s ....Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on sensors, energy, and general mechanical limitations. The project aims to resolve the challenges of deciding what a single vehicle should observe, what and to where it should communicate, and how it should move in relation to what it sees. The conceptual framework developed may also be relevant in guiding future defence acquisitions and civilian applications.Read moreRead less
Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms dev ....Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms developed are expected to allow straightforward deployment of robotic teams. There are myriad applications for cooperative robotic agents, ranging from surveillance, to environmental monitoring using underwater and aerial drone formations – with an array of benefits and impacts including economic, commercial and societal. The results are intended to ensure and cement Australia’s front-line position in the current technological revolution known as “Industry 4.0”.Read moreRead less
Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of di ....Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of disease.Read moreRead less
How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the m ....How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the motion of multiple moving objects such as crowded city footpaths and busy roads. The results will improve our understanding of failures to see moving objects in challenging viewing conditions (for example, high density traffic), and inform work in the design of autonomous driving and augmented reality display systems.Read moreRead less
Production, processing and combustion of an innovative slurry fuel for high efficiency distributed power generation. This project will advance the science underpinning the development of an innovative technology for energy production (with carbon capture) and use in remote regions. The outcomes of this research will help meet the great challenges of climate change and contribute to the development of an environmentally sustainable Australia.
Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical ....Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical information, such as encryption keys, through timing channels. This should prevent sophisticated attacks on public clouds, mobile devices and military-grade cross-domain devices.Read moreRead less
Development of nanoporous materials for capture and release of oxygen. This project aims to develop new materials to make lighter, more efficient oxygen concentrators. The project will combine materials that can capture oxygen with particles that can be magnetically heated, making it possible to release the oxygen rapidly and efficiently when needed. Expected outcomes from this project include new composite materials and better understanding of how gases are trapped and released within composite ....Development of nanoporous materials for capture and release of oxygen. This project aims to develop new materials to make lighter, more efficient oxygen concentrators. The project will combine materials that can capture oxygen with particles that can be magnetically heated, making it possible to release the oxygen rapidly and efficiently when needed. Expected outcomes from this project include new composite materials and better understanding of how gases are trapped and released within composite materials. Benefits from this project may include oxygen concentrators that are more portable and have longer battery life, both with industrial and medical applications.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
The evolution of light detection and its impacts on early vertebrate evolution. The eye is a complex organ crucial for survival. Tracing the evolution of the eye will not only provide basic concepts of how building visual complexity is achieved in nature but also enhance the understanding of the selection pressures driving the radiation of early vertebrates.