Opening a New Era of High-Performance Microwave Devices. We propose a conceptually new method of manufacturing high-performance microwave components at the low-cost and short lead time using liquid form conductors and 3D printing technology. Innovation consists in developing surface roughness free waveguide- and coaxial-based RF and microwave devices, in one-single-piece. This technique can be further extended to create high-performance reconfigurable RF and microwave devices such as filters, an ....Opening a New Era of High-Performance Microwave Devices. We propose a conceptually new method of manufacturing high-performance microwave components at the low-cost and short lead time using liquid form conductors and 3D printing technology. Innovation consists in developing surface roughness free waveguide- and coaxial-based RF and microwave devices, in one-single-piece. This technique can be further extended to create high-performance reconfigurable RF and microwave devices such as filters, antennas, directional couplers, phase shifters and switches by manipulating the locations of the liquid conductors. Furthermore, the method will enable the management of heat generated in high-power applications. Australian telecommunication industry and defence will benefit from the outcome of this project.Read moreRead less
Androgen receptor: A master regulator of lipid metabolism. This project aims to understand how male sex hormones, or androgens, affect the amount and metabolism of fats in normal body tissues. By integrating our multi-disciplinary expertise in androgen action, molecular biology, metabolism and bioinformatics with novel techniques and instrumentation, this collaboration expects to generate the first detailed picture of how fat metabolism is controlled by androgens in humans, and how closely this ....Androgen receptor: A master regulator of lipid metabolism. This project aims to understand how male sex hormones, or androgens, affect the amount and metabolism of fats in normal body tissues. By integrating our multi-disciplinary expertise in androgen action, molecular biology, metabolism and bioinformatics with novel techniques and instrumentation, this collaboration expects to generate the first detailed picture of how fat metabolism is controlled by androgens in humans, and how closely this relates to mice. Expected outcomes and benefits will be a new understanding of which aspects of fat metabolism are most influenced by androgens, and an ability to anticipate potential metabolic impacts of natural or pharmacological fluctuations in androgen levels in humans, laboratory animals and livestock.Read moreRead less
A network perspective for ecosystem responses to plant invasion. Invasive species are key drivers of global change, yet, our understanding of their negative impacts on ecosystems is limited within many contexts. This project will provide the first large-scale test for interactions between plants and microbes, via network analyses, as yardsticks for invasive species impacts on ecosystems. Using innovative approaches that link interactions network properties with ecosystem functioning, the fundame ....A network perspective for ecosystem responses to plant invasion. Invasive species are key drivers of global change, yet, our understanding of their negative impacts on ecosystems is limited within many contexts. This project will provide the first large-scale test for interactions between plants and microbes, via network analyses, as yardsticks for invasive species impacts on ecosystems. Using innovative approaches that link interactions network properties with ecosystem functioning, the fundamental data generated in this study will answer unsolved theoretical questions, providing evidence for the use of networks to predict and mitigate invader impacts. These benefits are not only crucial for biodiversity managers but also for those responsible for sustainable crop development under future climates.Read moreRead less
Internet Timing for the Ages: Establishing the New Timekeeping System. All computers incorporate a software clock, essential to myriad software applications. An economic way to synchronize such clocks is over a network, however the approach the Internet currently depends upon is unreliable and vulnerable. This project aims to establish a new architecture for networked timekeeping, built on future-proofed fundamentals, that will for the first time address each of accuracy, reliability, and trust. ....Internet Timing for the Ages: Establishing the New Timekeeping System. All computers incorporate a software clock, essential to myriad software applications. An economic way to synchronize such clocks is over a network, however the approach the Internet currently depends upon is unreliable and vulnerable. This project aims to establish a new architecture for networked timekeeping, built on future-proofed fundamentals, that will for the first time address each of accuracy, reliability, and trust. The expected outcome is a national prototype, serving the public with accurate and trusted time, that will form the basis of the next generation timekeeping system for the Internet and the Internet of Things. Expected benefits include enhanced productivity across the digital economy, and resilience to GPS failures.Read moreRead less
Behaviour Bootstrapping for Ad Hoc, Heterogeneous Robot Swarms. This project aims to develop algorithms to permit groups of robots to evolve coordinated, collective, swarm behaviours. Groups of robots will be conceptualised as developmental swarm organisms with an initially limited set of behaviours, but equipped with structures and processes to permit them to evolve new behaviours. This project expects to deliver the next generation of computational intelligence technologies to enable humans to ....Behaviour Bootstrapping for Ad Hoc, Heterogeneous Robot Swarms. This project aims to develop algorithms to permit groups of robots to evolve coordinated, collective, swarm behaviours. Groups of robots will be conceptualised as developmental swarm organisms with an initially limited set of behaviours, but equipped with structures and processes to permit them to evolve new behaviours. This project expects to deliver the next generation of computational intelligence technologies to enable humans to harness large groups of robots for new kinds of transport and inspection tasks in smart cities, smart farming and defence. The expected outcomes of the project include new software frameworks for distributed developmental learning, extending developmental robotics to evolutionary robot swarms. Read moreRead less
Terabit mm-Wave Backbones for Integrated Space and Terrestrial Networks. This project aims to develop the theory and enabling techniques to achieve high-speed millimeter wave (mm-wave) backbones for integrated space and terrestrial networks. New scientific breakthroughs will be in fundamental transmission theory, efficient self-interference cancellation and spatial multiplexing techniques using hybrid antenna arrays. These will enable Terabits per second wireless transmission that is 10 times fa ....Terabit mm-Wave Backbones for Integrated Space and Terrestrial Networks. This project aims to develop the theory and enabling techniques to achieve high-speed millimeter wave (mm-wave) backbones for integrated space and terrestrial networks. New scientific breakthroughs will be in fundamental transmission theory, efficient self-interference cancellation and spatial multiplexing techniques using hybrid antenna arrays. These will enable Terabits per second wireless transmission that is 10 times faster than current technologies. A proof-of-concept prototype will be developed to demonstrate the feasibility and performance of the new system architecture and algorithms, thus paving the way for commercialisation. The developed technology will enhance Australia’s information infrastructure as well as defence capacity.Read moreRead less
Machine education for trusted multi-skilled evolutionary learners . Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, commun ....Machine education for trusted multi-skilled evolutionary learners . Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, community the ability to contribute to growing our knowledge-based society in a safe, transparent and trustworthy manner. Outcomes will include innovative instruments to teach machines, novel knowledge creation, trusted and transparent AI systems, and a new generation of human teachers specialised in educating AI systems.Read moreRead less
Brain mechanisms for coordinating with others through sound. Distinguishing between sounds produced by self and others is critical for interpersonal coordination and communication through speech and music. This project employs a novel dual-brain electrophysiological technique with tagged audio signals to elucidate how the human brain achieves this distinction, and when and why it cannot. Expected outcomes include new knowledge on the neurophysiological mechanisms that support self-other processi ....Brain mechanisms for coordinating with others through sound. Distinguishing between sounds produced by self and others is critical for interpersonal coordination and communication through speech and music. This project employs a novel dual-brain electrophysiological technique with tagged audio signals to elucidate how the human brain achieves this distinction, and when and why it cannot. Expected outcomes include new knowledge on the neurophysiological mechanisms that support self-other processing, and the acoustic conditions and behavioural strategies that facilitate their operation. These outcomes should ultimately have applied benefits for improving interpersonal coordination and social interaction, especially in digital environments and clinical populations with atypical self-other processing.Read moreRead less
Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision ....Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision making process. By doing so, we will develop a world-leading model of how the brain makes decisions, and also provide the broader scientific community with a set of exciting new tools for studying information processing in the brain.Read moreRead less
Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental ....Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental policy formulation, network design, engineering, defence and cybersecurity; offering significant benefits to the researchers and practitioners in these fields. In addition to research outputs, it will strengthen international collaboration and build research capacity to put Australia at the forefront of this research.
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