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
Kingship, art and cult practice: decoding symbolism in an ancient Central Asian royal city. Hidden in the elaborate imagery of the richly ornamented 'Ceremonial Complex' recently uncovered at the ancient 'Royal City' of Kazakly-yatkan in Uzbekistan is a wealth of symbolism relating to cult, kingship and the divine. The study of this magnificent corpus has broad relevance for the history of all the lands across the ancient Persian world.
Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techn ....Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techniques but also deliever effective solutions to a number of real-life apllications.Read moreRead less
Phonological effects on the development of inflectional morphology. This project investigates the mechanisms underlying typically developing children's variable omission of inflectional morphemes (for example, plural, past tense). The results will have significant implications for the evaluation and design of interventions for language-delayed populations where serious problems of communication persist.
Surface engineering of oriented nano-layers for performance control. This research project will deliver knowledge on how to graft oriented, self assembled films from a surface, develop structure-property relationships at a nano-scale, develop a means to control these properties and develop characterization techniques at nano-scales. This research project, if successful, will deliver the ability to tailor the properties of a surface in a manner and over a range of properties that is not even cont ....Surface engineering of oriented nano-layers for performance control. This research project will deliver knowledge on how to graft oriented, self assembled films from a surface, develop structure-property relationships at a nano-scale, develop a means to control these properties and develop characterization techniques at nano-scales. This research project, if successful, will deliver the ability to tailor the properties of a surface in a manner and over a range of properties that is not even contemplated today.
In addition to the scientific benefits, there are also immediate commercial applications in Australia and worldwide for ophthalmic products (e.g. anti-fog and easy to clean lenses), if the balance of properties can be obtained.
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A hybrid approach to predict the structure-borne noise transmission in ship structures using a waveguide method and Statistical Energy Analysis. The prediction of structure-borne noise transmission in large welded ship structures is required, in order to design maritime vessels with greater ship power and reduced weight, without increasing the noise levels. The aim of this project is to develop a hybrid approach for structural dynamic analyses using an analytical waveguide method and Statistical ....A hybrid approach to predict the structure-borne noise transmission in ship structures using a waveguide method and Statistical Energy Analysis. The prediction of structure-borne noise transmission in large welded ship structures is required, in order to design maritime vessels with greater ship power and reduced weight, without increasing the noise levels. The aim of this project is to develop a hybrid approach for structural dynamic analyses using an analytical waveguide method and Statistical Energy Analysis. The theoretical estimation and associated experimental measurement of the SEA parameters (modal density, coupling and internal loss factors) form the basis for the hybrid approach. The outcomes will result in improved predictive techniques for dynamic analyses of large complex resonant structures.Read moreRead less
Festival, Spectacle and Plays in Renaissance Florence. Wherever public money and community effort are expended on festive display, religious devotion, or promoting national prestige through performance, questions arise about how such expense can be justified, and how the community measures its success. This project examines those questions in relation to Renaissance Florence which provided many of the models for early modern European festivals. It will analyse some of the ways in which the commu ....Festival, Spectacle and Plays in Renaissance Florence. Wherever public money and community effort are expended on festive display, religious devotion, or promoting national prestige through performance, questions arise about how such expense can be justified, and how the community measures its success. This project examines those questions in relation to Renaissance Florence which provided many of the models for early modern European festivals. It will analyse some of the ways in which the community and its individual members contributed to and reaped the benefit of participation in public performance and devotion. It will also provide cautionary examples of the abuse of such modes of performance by corrupt regimes.Read moreRead less
Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and buil ....Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.
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When caring ends: Understanding and supporting informal care trajectories. This project aims to advance understandings of how, why, when, and for whom caring ends, including the socio-cultural and relational factors that shape experiences before, during, and after caring. Using an innovative, multi-method sociological approach, and foregrounding carers’ voices, this project expects to generate new knowledge on the meaning and experience of care and caring. This project is significant in bringing ....When caring ends: Understanding and supporting informal care trajectories. This project aims to advance understandings of how, why, when, and for whom caring ends, including the socio-cultural and relational factors that shape experiences before, during, and after caring. Using an innovative, multi-method sociological approach, and foregrounding carers’ voices, this project expects to generate new knowledge on the meaning and experience of care and caring. This project is significant in bringing together leading researchers and key carer-focused organisations, spanning service sectors and moving across care relationships, life stages and contexts. Expected outcomes include enhanced service capacity with tangible policy and practice benefits that will enable sustainable and fulfilling informal caring experiences.Read moreRead less
Predictive analytics from at home telemonitoring of vital signs. Predictive analytics from at home telemonitoring of vital signs. This project aims to reduce unscheduled admissions to hospital, by developing statistical models of people’s health using longitudinal measurements of vital signs and questionnaires. Hospital costs are becoming unsustainable and will overwhelm state budgets within thirty years. Telehealth monitoring to manage chronic disease is becoming increasingly routine internatio ....Predictive analytics from at home telemonitoring of vital signs. Predictive analytics from at home telemonitoring of vital signs. This project aims to reduce unscheduled admissions to hospital, by developing statistical models of people’s health using longitudinal measurements of vital signs and questionnaires. Hospital costs are becoming unsustainable and will overwhelm state budgets within thirty years. Telehealth monitoring to manage chronic disease is becoming increasingly routine internationally and should reduce unnecessary hospital admissions and health service costs. To scale up telehealth services nationally, automated means of assessing changes in an individual health status are needed. This project’s automated risk assessment models are expected to identify exacerbations and orchestrate an optimal response from health services to reduce unscheduled admissions to hospital.Read moreRead less