Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989831
Funder
Australian Research Council
Funding Amount
$205,000.00
Summary
The Australian Music Navigator: research infrastructure for discovering, accessing and analysing Australia's musical landscape. The aim of the Australian Music Navigator initiative is to enhance the research, analysis, discoverability and understanding of Australian art music practice through the development of an innovative online facility. In addition to enabling access to digital sound and score objects, the facility will allow for sophisticated explorations of the rich inter-relationships be ....The Australian Music Navigator: research infrastructure for discovering, accessing and analysing Australia's musical landscape. The aim of the Australian Music Navigator initiative is to enhance the research, analysis, discoverability and understanding of Australian art music practice through the development of an innovative online facility. In addition to enabling access to digital sound and score objects, the facility will allow for sophisticated explorations of the rich inter-relationships between creators, performs, works, manifestations, events, genres, venues, awards and research. This infrastructure will ensure the prominence and accessibility of Australian music as a subject for research, and thereby contribute to our collective ability to engage with and understand our musical heritage.Read moreRead less
Efficient structure search over large graphs. The project aims to develop advanced search technology to support large-scale graph applications. The success of the project not only brings a breakthrough in technology development but also provides training for high quality personnel in this important and growing area, and brings considerable economic and social benefits to Australia.
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.
Modelling network innovation performance capability: a multidisciplinary approach. Innovation is created in complex network interactions.
By combining agent-based and fuzzy logic modelling, this project will identify combinations of resources to generate new ideas/technologies. This will enable managers and policy makers to understand the mechanisms behind innovation and implement policies aimed at enhancing innovation processes.
Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and e ....Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC220100003
Funder
Australian Research Council
Funding Amount
$4,930,205.00
Summary
ARC Training Centre for Biofilm Research and Innovation . The ARC Training Centre for Biofilm Research and Innovation aims to transform biofouling management strategies for maritime platforms by building on local and international expertise to mentor and train the next generation of interdisciplinary scientists and engineers. Anticipating evolving regulatory stringency, this project expects to establish a dynamic environment for industry partners, students and scientists to collaborate and devel ....ARC Training Centre for Biofilm Research and Innovation . The ARC Training Centre for Biofilm Research and Innovation aims to transform biofouling management strategies for maritime platforms by building on local and international expertise to mentor and train the next generation of interdisciplinary scientists and engineers. Anticipating evolving regulatory stringency, this project expects to establish a dynamic environment for industry partners, students and scientists to collaborate and develop biofilm management strategies. Expected outcomes include new and enhanced collaborations that advance and translate knowledge to better manage biofouling. The significant benefits will include a generation of industry-focused researchers critical for growing Australia’s Defence industry.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
Temporal Trends In The Incidence, Site And Survival Of Metastatic Breast Cancer In Australia
Funder
National Health and Medical Research Council
Funding Amount
$190,494.00
Summary
There have been major advances in breast cancer treatment over the last decade. This project will use information collected from the NSW cancer registry and hospitals to report on changes in the type and risk of breast cancer spread and survival for women with a new diagnosis of breast cancer before and after new treatments introduced since 2005. This information is essential for doctors to provide women with up-to-date information; and for planning appropriate health services and research.
Discovery Early Career Researcher Award - Grant ID: DE160100216
Funder
Australian Research Council
Funding Amount
$345,000.00
Summary
Emotions, language and culture in Arnhem Land (Katherine region). This project aims to increase our understanding of emotional language and cultural practices about emotions among Indigenous Australian groups. Emotion is a fundamental human experience, yet different languages provide very different ways of talking about it. What are the consequences of this? Are these differences culturally constrained? Might differences in the grammar of a language influence the way its speakers express emotion ....Emotions, language and culture in Arnhem Land (Katherine region). This project aims to increase our understanding of emotional language and cultural practices about emotions among Indigenous Australian groups. Emotion is a fundamental human experience, yet different languages provide very different ways of talking about it. What are the consequences of this? Are these differences culturally constrained? Might differences in the grammar of a language influence the way its speakers express emotions, or even the way they experience emotions? This project seeks to describe and compare the way emotions are expressed in five Aboriginal languages of Arnhem Land. Four of these languages are endangered and the project will also provide the urgent documentation needed to preserve them.Read moreRead less