Bulk Mg based hydrogen storage alloys with faster activation. Bulk Mg based hydrogen storage alloys with faster activation. This project aims to improve the performance and efficiency of manufacture of magnesium-based hydrogen storage alloys, making them more cost competitive and widely useable. A hydrogen economy will reduce greenhouse gas emissions and improve air quality in urban areas. The expected outcomes are an understanding of the mechanisms governing the activation process, a necessary ....Bulk Mg based hydrogen storage alloys with faster activation. Bulk Mg based hydrogen storage alloys with faster activation. This project aims to improve the performance and efficiency of manufacture of magnesium-based hydrogen storage alloys, making them more cost competitive and widely useable. A hydrogen economy will reduce greenhouse gas emissions and improve air quality in urban areas. The expected outcomes are an understanding of the mechanisms governing the activation process, a necessary step in manufacture, and techniques to exploit these mechanisms to minimise the activation time. This is expected to develop competitive, bulk magnesium-based hydrogen storage alloys for effective and safe hydrogen storage systems.Read moreRead less
The recirculation of myeloid dendritic cells. This project aims to understand dendritic cell recirculation. It will use virological tools to track dendritic cell migration, and identify key decision points. Expected outcomes include enhanced capacity in basic research and greater interdisciplinary collaboration between virology and immunology research groups. Significant benefits will include a new understanding of how G protein coupled receptor signalling and other tissue cues guide dendritic c ....The recirculation of myeloid dendritic cells. This project aims to understand dendritic cell recirculation. It will use virological tools to track dendritic cell migration, and identify key decision points. Expected outcomes include enhanced capacity in basic research and greater interdisciplinary collaboration between virology and immunology research groups. Significant benefits will include a new understanding of how G protein coupled receptor signalling and other tissue cues guide dendritic cell recirculation, and what consequences the recirculation has for immune cell function. This understanding will significantly advance our basic understanding of the immune system.Read moreRead less
International students in secondary schools. This longitudinal project aims to analyse the forms and effects of international secondary students’ transnational connectedness with different people and places in physical and online environments. It plans to examine how and why students’ relationships change across Years 10–12 of school, and the implications for students’ experience of school, Australia, and post-school pathways. The findings may provide the empirical knowledge and theoretical insi ....International students in secondary schools. This longitudinal project aims to analyse the forms and effects of international secondary students’ transnational connectedness with different people and places in physical and online environments. It plans to examine how and why students’ relationships change across Years 10–12 of school, and the implications for students’ experience of school, Australia, and post-school pathways. The findings may provide the empirical knowledge and theoretical insights to support the development of policies and practices to support international school students, protect their social, emotional and physical wellbeing, and improve the economic competitiveness of Australia’s international education sector.Read moreRead less
Economic efficiency and the provision of incentives for information acquisition and disclosure: a mechanism design approach. By uncovering what determines information acquisition, highlighting what allows experts and insiders to manipulate market outcomes, and studying the efficiency gains obtainable with the use of a variety of incentives schemes, this research will provide valuable insights for public policy concerning information diffusion and market transparency.
Antibiotic resistance is a looming public health crisis. New antibiotics with new mechanisms of action are desperately needed. The long-term goal of this research is to develop new drugs that disarm bacteria to overcome the problem of antibiotic resistance.
Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in ....Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in event logs. The approach is intended to be implemented in an open-source technology to facilitate advanced investigations and predictions that can ultimately lead to better strategic decision-making. This technology also has the potential to become a research-enabling tool for the large research community in business process management.Read moreRead less
Cost-aware business process management. The project aims to inform business process management (BPM) with the latest insights from the field of management accounting in order to make BPM systems cost-aware. By incorporating the cost dimension, organisations can obtain an accurate and immediate overview of the true cost of their processes and make cost-informed decisions.
Preventing Mental Health Problems In Children: A Population-based Cluster Controlled Trial
Funder
National Health and Medical Research Council
Funding Amount
$431,133.00
Summary
14% of Australian children develop mental health problems. As treatment is time and cost intensive, prevention is the ideal model. This can be targeted to ‘at risk’ children, but may stigmatise families and have poor uptake. This project aims to trial whether a population targeted approach embedded in universal prevention performs better than targeted prevention alone, with each approach compared to ‘usual care’. The local and state government partners will ensure sustainability, policy relevanc ....14% of Australian children develop mental health problems. As treatment is time and cost intensive, prevention is the ideal model. This can be targeted to ‘at risk’ children, but may stigmatise families and have poor uptake. This project aims to trial whether a population targeted approach embedded in universal prevention performs better than targeted prevention alone, with each approach compared to ‘usual care’. The local and state government partners will ensure sustainability, policy relevance and uptake if effectiveRead moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100032
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Advanced Multifunctional Electro-Opto-Magneto-Mechanical Analysis Platform. This project aims to build an advanced multi-functional Electro-Opto-Magneto-Mechanical analysis platform for characterizing nanomaterials and micro-/nano-scale devices. This platform expects to provide rich and unique characterization capabilities (electrical, optical, magnetic and mechanical) for hybrid devices with low temperature and high vacuum environment. The expected outcomes include multidisciplinary research co ....Advanced Multifunctional Electro-Opto-Magneto-Mechanical Analysis Platform. This project aims to build an advanced multi-functional Electro-Opto-Magneto-Mechanical analysis platform for characterizing nanomaterials and micro-/nano-scale devices. This platform expects to provide rich and unique characterization capabilities (electrical, optical, magnetic and mechanical) for hybrid devices with low temperature and high vacuum environment. The expected outcomes include multidisciplinary research collaborations and a wide range of next-generation technologies including non-invasive medical instruments, wearable devices, communication, quantum information systems and energy storage solutions. This should enable local design and construction of hybrid devices and advance the growth of local high-technology industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101118
Funder
Australian Research Council
Funding Amount
$339,000.00
Summary
High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields i ....High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields including machine learning, pattern recognition, information retrieval, bioinformatics and image analysis. It is expected that the developed clustering techniques will provide significant performance improvements in industry sectors where decisions are made based on clustering data analytics, such as the sectors of finance, renewable energy and artificial intelligence.Read moreRead less