Discovery Early Career Researcher Award - Grant ID: DE170100106
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Measuring interference from prior memories using experience sampling. The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences using smartphone technology for four weeks before a recognition memory experiment. Similarities between the images in the experiment and images in prior experience can be used to fully specify all interference components within a computational model of recognition memory, leading to a comple ....Measuring interference from prior memories using experience sampling. The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences using smartphone technology for four weeks before a recognition memory experiment. Similarities between the images in the experiment and images in prior experience can be used to fully specify all interference components within a computational model of recognition memory, leading to a complete model of recognition memory. Better understanding the causes of forgetting in recognition memory could show how interference contributes to memory impairments in ageing, and ultimately Alzheimer’s and other clinical disorders.Read moreRead less
Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to p ....Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to provide these languages with improved memory-management algorithms, and provides researchers and industry with a framework for innovation. This project will enable safe software that is more efficient on today's hardware and able to exploit emerging hardware. This project should lead to better performance and energy savings for server applications, phones, watches, and smart appliances, while ensuring memory safety.Read moreRead less
Investigating the role of Zona Incerta RXFP3+ cells in learning and memory. Learning and memory are fundamental to human and animal behaviour. We identified a specific population of cells in the zona incerta of the brain, where activation inhibits expression of memory, and facilitates the acquisition of new learning. Aside from our observations, nothing is currently known about the anatomy and function of these cells. This project aims to map how they connect to the rest of the brain, to observe ....Investigating the role of Zona Incerta RXFP3+ cells in learning and memory. Learning and memory are fundamental to human and animal behaviour. We identified a specific population of cells in the zona incerta of the brain, where activation inhibits expression of memory, and facilitates the acquisition of new learning. Aside from our observations, nothing is currently known about the anatomy and function of these cells. This project aims to map how they connect to the rest of the brain, to observe how these connections are recruited during learning and memory, and then to test their function experimentally. The outcomes will extend the known neural circuitry that controls learning by defining how and where these unexplored pathways fit within it; thus advancing knowledge regarding neural regulation of behaviour.
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Social engagement in Spiritualism. This project aims to investigate the sociological, anthropological and historical dimensions of Spiritualism in Australia, a small but highly influential religious movement. 19th century Spiritualist ideas about the afterlife have shaped many citizens’ beliefs that individual personality survives death in a family-centred spirit realm. Combining both sociological and anthropological approaches, the project will map the production and effect of belief on family, ....Social engagement in Spiritualism. This project aims to investigate the sociological, anthropological and historical dimensions of Spiritualism in Australia, a small but highly influential religious movement. 19th century Spiritualist ideas about the afterlife have shaped many citizens’ beliefs that individual personality survives death in a family-centred spirit realm. Combining both sociological and anthropological approaches, the project will map the production and effect of belief on family, civic participation and ethics. This project aims to give scholars a fuller, more accurate view of religious dynamics in Australia.Read moreRead less
Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical cluste ....Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical clustering algorithms for dynamic networks – with performance guarantees of efficiency and clustering quality – and prototype software, guiding us to pick a good clustering. Expected benefits include better understanding of spread in evolving social networks, accelerating the software testing cycle, and improved topic detection.Read moreRead less
Remote sensing to improve structural efficiency of high-speed catamarans. This project aims to develop a monitoring system to remotely measure ship motions, loads and ride control activity under commercial operations. Data will be analysed using advanced statistical methods to inform evidence-based design to improve both structural efficiency and passenger comfort. The research will impact on design rules used worldwide, reducing weight and increasing payload and transport efficiency for this cl ....Remote sensing to improve structural efficiency of high-speed catamarans. This project aims to develop a monitoring system to remotely measure ship motions, loads and ride control activity under commercial operations. Data will be analysed using advanced statistical methods to inform evidence-based design to improve both structural efficiency and passenger comfort. The research will impact on design rules used worldwide, reducing weight and increasing payload and transport efficiency for this class of vessel. A "Smart” semi-autonomous interface will be developed to provide on-board seakeeping guidance to the ship captain. This technology will have significant benefits such as increased ship safety, vessel longevity and improving passenger comfort for all types of vessels worldwide including high-speed catamarans.Read moreRead less
Fluid-thermal-structural interactions on high-speed aerospace vehicles. Sixteen years after the retirement of Concorde, high-speed commercial flight is once again on the rise with the development of new supersonic business jets and small airliners as well as hypersonic transport and reusable space launch systems. Robust and efficient designs for these light-weight vehicles must address the problem of aerodynamic heating and its effect on structural performance and lifing. This project will desig ....Fluid-thermal-structural interactions on high-speed aerospace vehicles. Sixteen years after the retirement of Concorde, high-speed commercial flight is once again on the rise with the development of new supersonic business jets and small airliners as well as hypersonic transport and reusable space launch systems. Robust and efficient designs for these light-weight vehicles must address the problem of aerodynamic heating and its effect on structural performance and lifing. This project will design and perform first-of-kind experiments that reproduce the complex fluid-thermal-structural interactions representative of those experienced by these aircraft and rockets. We will then use these measurements to assess, validate and improve the current state-of-the-art of simulation and modelling approaches for design.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101329
Funder
Australian Research Council
Funding Amount
$432,355.00
Summary
Trading Privacy, Bandwidth and Accuracy in Algorithmic Machine Learning. This project aims to investigate the trade-offs between privacy, communication costs and accuracy of results when learning from users' sensitive data. The project intends to design faster and more accurate algorithms for a wide range of machine learning tasks by developing a novel and widely-applicable algorithmic framework. Expected outcomes of this project include new theoretical tools to guide the design of data-driven d ....Trading Privacy, Bandwidth and Accuracy in Algorithmic Machine Learning. This project aims to investigate the trade-offs between privacy, communication costs and accuracy of results when learning from users' sensitive data. The project intends to design faster and more accurate algorithms for a wide range of machine learning tasks by developing a novel and widely-applicable algorithmic framework. Expected outcomes of this project include new theoretical tools to guide the design of data-driven decision systems and rigorously analyse their performance and privacy guarantees. Privacy of individuals' information in data analytics pipelines is a key societal concern. This project should lead to significant benefits by strengthening privacy in these pipelines while also improving accuracy and cost-efficiency.Read moreRead less
Voices of Regional Australia: The linguistic patterning of local attachment. This project aims to investigate language and social dynamics among regional Australians, who, despite representing one third of the population, have been often neglected in the research to date. The project expects to generate new knowledge around regional attachment and the impact that has on speech patterns, adapting for the first time recently developed international metrics to the Australian context. Expected outco ....Voices of Regional Australia: The linguistic patterning of local attachment. This project aims to investigate language and social dynamics among regional Australians, who, despite representing one third of the population, have been often neglected in the research to date. The project expects to generate new knowledge around regional attachment and the impact that has on speech patterns, adapting for the first time recently developed international metrics to the Australian context. Expected outcomes include a better understanding of models of language change across urban and rural areas, and a novel dataset recording the stories of regional Australians, and in particular, their experiences facing bushfire. This should provide significant benefits as a record of life, language and community in regional Australia.Read moreRead less