Grant Count
11
Highest Funding Involved
$787,945.00
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Start Date: 05-2020
End Date: 12-2024
Amount: $360,000.00
Summary: Quantum Design of Majorana Modes in Magnet-Superconductor Hybrid Systems. This project will identify magnet-superconductor hybrid structures which feature topological superconductivity, a new material class which promises to revolutionise future technology. By performing cutting-edge transport calculations, this project will also predict signatures of topological superconductors for ongoing and future experiments. Expected outcomes of this project include identification of suitable candidate mat .... Quantum Design of Majorana Modes in Magnet-Superconductor Hybrid Systems. This project will identify magnet-superconductor hybrid structures which feature topological superconductivity, a new material class which promises to revolutionise future technology. By performing cutting-edge transport calculations, this project will also predict signatures of topological superconductors for ongoing and future experiments. Expected outcomes of this project include identification of suitable candidate materials and protocols for the quantum design of prototype devices. By providing the theory of advanced structures and devices, this project will inform experiments and pave the way for future technology based on topological phenomena. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2019
End Date: 05-2023
Amount: $339,000.00
Summary: Fractional dynamic models for MRI to probe tissue microstructure. This project aims to develop new mathematical tools for mapping tissue microstructural properties via the use of space-time fractional calculus methods. In magnetic resonance imaging, mathematical models and their parameters play a key role in associating information between images and biology, with the overall aim of producing spatially resolved maps of tissue property variations. However, models which can inform on changes in mi .... Fractional dynamic models for MRI to probe tissue microstructure. This project aims to develop new mathematical tools for mapping tissue microstructural properties via the use of space-time fractional calculus methods. In magnetic resonance imaging, mathematical models and their parameters play a key role in associating information between images and biology, with the overall aim of producing spatially resolved maps of tissue property variations. However, models which can inform on changes in microscale tissue properties are lacking. The tools developed by this project will be used to generate new magnetic resonance image based maps to convey information on tissue microstructure changes in the human brain. Additionally, the mathematical tools developed will be transferable to other applications where diffusion and transport in heterogeneous porous media play a role. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 2024
End Date: 12-2027
Amount: $703,112.00
Summary: Molecular mechanisms that regulate the kinetics of neurotransmitter release. Information processing in the human brain plays important roles in normal behaviour and cognition, most of which require rapid and precisely timed neurotransmitter release. However, the molecular mechanisms that control the speed and timing of this release remain largely unclear. This research project will use a novel mix of electrophysiology, electron microscopy, genetics, biochemistry, and imaging to investigate how t .... Molecular mechanisms that regulate the kinetics of neurotransmitter release. Information processing in the human brain plays important roles in normal behaviour and cognition, most of which require rapid and precisely timed neurotransmitter release. However, the molecular mechanisms that control the speed and timing of this release remain largely unclear. This research project will use a novel mix of electrophysiology, electron microscopy, genetics, biochemistry, and imaging to investigate how the speed of neurotransmitter release is controlled by the most important synaptic protein UNC-13 and its binding partners. This project expects to generate significant knowledge in the area of synaptic transmission. The outcomes will deepen our understanding of neuronal communication and information processing in the brain. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 12-2023
Amount: $787,945.00
Summary: Urbanism after Angkor (14th-18th century). This project aims to understand changes after the breakdown of low-density urbanism in Cambodia. Recognising the emergence of urban forms after the demise of Angkor challenges the global “Collapse of Civilisation” trope, and redefines the Middle Period of Cambodian history (15th-19th century). This project proposes that continuity, renewal, variety and adaptation are as apparent in Cambodia’s middle period as loss and failure. Applying landscape archaeo .... Urbanism after Angkor (14th-18th century). This project aims to understand changes after the breakdown of low-density urbanism in Cambodia. Recognising the emergence of urban forms after the demise of Angkor challenges the global “Collapse of Civilisation” trope, and redefines the Middle Period of Cambodian history (15th-19th century). This project proposes that continuity, renewal, variety and adaptation are as apparent in Cambodia’s middle period as loss and failure. Applying landscape archaeology to this ‘dark age’ of Southeast Asian history embeds the demise of low-density urbanism and the development of towns in an environmental context. Identifying adaptive pathways after ‘collapse’ could have implications for urbanism in the tropics. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 2018
End Date: 12-2022
Amount: $373,733.00
Summary: Large-scale spatio-temporal data hashing for efficient data analytics. This project aims to systematically investigate the challenging problem of hash function learning for large-scale spatio-temporal data. The project will generate high quality hash codes for spatio-temporal data objects, enabling efficient similarity computation and thus supporting various data mining tasks and applications. The project expects to devise a series of learning frameworks by addressing the specific challenges of .... Large-scale spatio-temporal data hashing for efficient data analytics. This project aims to systematically investigate the challenging problem of hash function learning for large-scale spatio-temporal data. The project will generate high quality hash codes for spatio-temporal data objects, enabling efficient similarity computation and thus supporting various data mining tasks and applications. The project expects to devise a series of learning frameworks by addressing the specific challenges of different types of spatio-temporal data, such as univariate and multivariate. The project will provide significant benefits to both academia and industry in massive spatio-temporal data analysing, for example traffic flow mining and optimisation, weather forecasting and financial fraud detection. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 12-2016
Amount: $360,000.00
Summary: Modelling and discovering complex interaction relations hidden in group behaviours in businesses, online and social communities. This project addresses the shortage in current behavior analysis by inventing innovative theories and algorithms for analysing complex relations and interactions in group behaviours. The outcomes of this project will enable effective detection of suspicious large groups, contributing to safer businesses and society and improved compliance in online and social communiti .... Modelling and discovering complex interaction relations hidden in group behaviours in businesses, online and social communities. This project addresses the shortage in current behavior analysis by inventing innovative theories and algorithms for analysing complex relations and interactions in group behaviours. The outcomes of this project will enable effective detection of suspicious large groups, contributing to safer businesses and society and improved compliance in online and social communities. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 12-2019
Amount: $237,000.00
Summary: Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of .... Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of human vision. This could provide avenues for using light to increase active participation in society and improve health and well-being, and strategies to assess human vision and the body’s internal clock. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 2011
End Date: 08-2013
Amount: $660,371.00
Summary: Novel data mining techniques for complex network analysis and control. This project will develop novel data mining theories and algorithms to analyse complex networks for safe information publishing and sharing across networks. It will enable smart information use in bioinformatics, social science and business intelligence, help protect against cybercrime and promote Australia's international research profile.
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2011
End Date: 06-2015
Amount: $215,000.00
Summary: Creative nation: writers and writing in the new media arts. This project will map an important moment of cultural transition in Australian writing as it begins to engage fully with new electronic forms. It will provide an important resource for understanding the work of writers as producers of novelty and innovation at the cutting edge of cultural and technological change.
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2019
End Date: 08-2022
Amount: $314,000.00
Summary: Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools .... Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools to facilitate government, companies, individuals, and organisations to enhance their information gathering and privacy-preserving capabilities. This is expected to enhance the credibility of the government and organisations and save the possible financial loss of companies and individuals. Read more Read less
Funder: Australian Research Council
View Funded ActivityStart Date: 2015
End Date: 12-2018
Amount: $384,700.00
Summary: Coupling Learning in Big Data. Big data features complex coupling relationships within and between diverse entities in various forms and layers. This fundamentally challenges existing learning theories, which usually assume that data is independent and identically distributed (IID). This indicates that such IID tools may either be inapplicable for big data or capture an incomplete or even biased picture of the ground truth in big data. Hence, this project aims to invent breakthrough theories and .... Coupling Learning in Big Data. Big data features complex coupling relationships within and between diverse entities in various forms and layers. This fundamentally challenges existing learning theories, which usually assume that data is independent and identically distributed (IID). This indicates that such IID tools may either be inapplicable for big data or capture an incomplete or even biased picture of the ground truth in big data. Hence, this project aims to invent breakthrough theories and effective tools for systematically modelling and learning sophisticated couplings embedded in big data applications. The outcomes are expected to enhance Australia's leading role in data science research and lift data intelligence-driven productivity and economic growth in a changing world. Read more Read less
Funder: Australian Research Council
View Funded Activity