Mineral Biosequestration of Organic Carbon in Early Pedogenesis of Tailings. Upcycling tailings into soil (technosols developed from technogenic parent materials) offers a sustainable approach to overcome severe topsoil shortage that limits the progress of ecological rehabilitation of tailings across mine sites. This project aims to establish new knowledge on mineral bioweathering, organic carbon (OC) sequestration in rapidly formed mineral phases, and OC turnover driven by colonising microbes a ....Mineral Biosequestration of Organic Carbon in Early Pedogenesis of Tailings. Upcycling tailings into soil (technosols developed from technogenic parent materials) offers a sustainable approach to overcome severe topsoil shortage that limits the progress of ecological rehabilitation of tailings across mine sites. This project aims to establish new knowledge on mineral bioweathering, organic carbon (OC) sequestration in rapidly formed mineral phases, and OC turnover driven by colonising microbes and plant roots, in the early pedogenesis of tailings initiated by inputs of organic and inorganic materials. This new knowledge is required for developing eco-engineering technology adaptable to a wide range of tailings of diverse mineralogy, to achieve sustainable tailings rehabilitation and organic carbon sequestration.Read moreRead less
Novel Characterization of Porous Structure and Surface Chemistry of Carbon. The aim of this project is to develop novel characterisation methods that probe the structure and surface chemistry of carbons, ranging from highly graphitised thermal carbon black through ordered mesoporous carbon to disordered porous activated carbon. The project plans to develop a new generic molecular model based on wedge-shaped pores. Conventional parallel sided pore models fail to account for real structures and th ....Novel Characterization of Porous Structure and Surface Chemistry of Carbon. The aim of this project is to develop novel characterisation methods that probe the structure and surface chemistry of carbons, ranging from highly graphitised thermal carbon black through ordered mesoporous carbon to disordered porous activated carbon. The project plans to develop a new generic molecular model based on wedge-shaped pores. Conventional parallel sided pore models fail to account for real structures and therefore for the physics of adsorption in real materials. The project then plans to back the theoretical model with high-resolution experimental measurements. It is expected that the model will unify the structural analysis for all carbons and account for all experimental isotherms within a rational and physically plausible framework.Read moreRead less
Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database i ....Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database indexing, event-influenced behaviour modelling and prediction. The success of this project is expected to enhance users’ online experience and improve e-commerce’s market value.Read moreRead less
Taming the uncertainty in trajectory data. This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories and their patterns, for important usages in location based services, logistic, transportation and tourism.
Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and re ....Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and retrieval across different media types and domains. The framework developed by the project uses deep learning methods to develop meaningful image attributes to positively bridge the modality gap and the domain gap when hash functions are affixed to data. This project will significantly advance the research of multimedia retrieval, and benefit a series of related research problems whenever heterogeneous multimedia data are involved in their applications.Read moreRead less
Synergising multimedia content understanding with social data analysis. This project aims to develop novel approaches to explore synergies within big social multimedia data from both social and multimedia perspective. It provides individuals, groups, and businesses the ability to tap into the wisdom of crowds to enlarge knowledge base, enhance user experience, understand the pulse of crowds and make informed decision.
Putting metal organic frameworks to work at interfaces. This project aims to develop new strategies to better synthesize ultrathin Metal-organic framework (MOF) membranes by nanostructured and chemically functionalized substrates. MOF materials have enormous potential due to the extraordinary structural and chemical diversity of these crystalline microporous materials and their potential applications in gas storage, separation, catalysis and sensing. However, a major challenge is fabricating thi ....Putting metal organic frameworks to work at interfaces. This project aims to develop new strategies to better synthesize ultrathin Metal-organic framework (MOF) membranes by nanostructured and chemically functionalized substrates. MOF materials have enormous potential due to the extraordinary structural and chemical diversity of these crystalline microporous materials and their potential applications in gas storage, separation, catalysis and sensing. However, a major challenge is fabricating thin robust MOF films or patterns on porous, flexible, and nonporous substrates, quickly and easily in order to construct useful devices. The project will grow ultrathin layers of molecular sieving and electroactive MOFs to produce technology platforms for large scale device manufacturing.Read moreRead less
QualA-D: a quality aware query engine for next generation data integration systems. This project will address the growing diversity of the web/user community by developing new approaches for data integration that incorporate data quality requirements such as data currency, completeness and coverage. First-of-breed quality aware query system is expected to be developed that will assist in improving user experience and satisfaction.
Scalable Cross-Media Hashing for Searching Heterogeneous Data Sources. This project aims to use novel indexing and search approaches to realise the value of multimedia data. The ever-increasing availability and heterogeneity of multimedia data are calling for new approaches to search information across different media types and data sources. This project aims to enable accurate and real-time cross-media searches from billions of multimedia objects collected from various media sources by tackling ....Scalable Cross-Media Hashing for Searching Heterogeneous Data Sources. This project aims to use novel indexing and search approaches to realise the value of multimedia data. The ever-increasing availability and heterogeneity of multimedia data are calling for new approaches to search information across different media types and data sources. This project aims to enable accurate and real-time cross-media searches from billions of multimedia objects collected from various media sources by tackling the heterogeneity and scalability issues. Expected outcomes include scalable cross-media hashing techniques to capture implicit correlations existing in heterogeneous data and embed high-dimensional features into short binary codes; new binary code indexing and ranking schemes to further improve search speed and quality; and a large-scale cross-media system to evaluate methods and demonstrate the practical value.Read moreRead less
Role of nitrogen-rich compounds for increasing carbon sequestration in soil. This project aims to unravel how increasing concentrations of nitrogen-rich compounds in soils can potentially increase our ability to sequester soil organic carbon. This is significant because long-term agricultural production greatly reduces soil organic carbon stocks and releases carbon dioxide as a greenhouse gas. Expected outcomes of this project include providing information that is urgently needed to develop pred ....Role of nitrogen-rich compounds for increasing carbon sequestration in soil. This project aims to unravel how increasing concentrations of nitrogen-rich compounds in soils can potentially increase our ability to sequester soil organic carbon. This is significant because long-term agricultural production greatly reduces soil organic carbon stocks and releases carbon dioxide as a greenhouse gas. Expected outcomes of this project include providing information that is urgently needed to develop predictive carbon models for effective policy-making and improved management. This project should provide substantial benefits, including fulfilling the carbon sequestration potential of Australia’s soils, thereby delivering positive economic outcomes through increased farm-gate output and mitigation of climate change.Read moreRead less