Families at the Centre was designed to deepen understanding of how Early childhood education and care (ECEC) fits into the lives of low-income families with children below school age.
To leverage evidence-based research to develop new knowledge, technology and practices to benefit Australian children and families living in disadvantage
Family Group Conferencing is a facilitated process where extended family work together to make decisions that protect a child or young person who is at risk of harm and possible removal from their family. It is focused on improving the lives of children and their families.
Immersive Technologies for Rapid Metallic Tank Inspection and Repairs. Metal tank silos house some of the most dangerous chemicals, which erode the internal structure of the tank over time. It is critical to check the integrity of the tank to prevent disasters from occurring. NDE solutions uses a rapid motion scanner (RMS) to scan the interior surface of the container while it is still full of its storage material. It is the aim of this project to use Augmented Reality, to overlay the scan provi ....Immersive Technologies for Rapid Metallic Tank Inspection and Repairs. Metal tank silos house some of the most dangerous chemicals, which erode the internal structure of the tank over time. It is critical to check the integrity of the tank to prevent disasters from occurring. NDE solutions uses a rapid motion scanner (RMS) to scan the interior surface of the container while it is still full of its storage material. It is the aim of this project to use Augmented Reality, to overlay the scan provided by the RMS, onto the worker's view of the tank, control the robot via. hand gestures, and facilitate remote training/guidance. The result will allow for inspection workers to quickly and accurately the location of critical failures, without performing the hazardous procedures of internal tank inspection. Read moreRead less
Examining multi-level Information Technology (IT) project alignment in government services: the case of contracted employment services. Improved Information Technology (IT) alignment is essential for the delivery of government services within a complex public-private, inter-organisational environment. This project will investigate the extent to which well-aligned IT support systems contribute positively to the efficient and effective delivery of contracted employment services.
Discovery Early Career Researcher Award - Grant ID: DE230101105
Funder
Australian Research Council
Funding Amount
$422,318.00
Summary
Developing Polymer Electrolytes for Operational All-Solid-State Batteries. This project aims to advance the development of safe rechargeable all-solid-state batteries (ASSBs) by innovating fluorinated block copolymers as solid-state electrolytes. ASSBs are the most promising power source for emerging energy storage goals, however, low ionic conductivity and poor long-term cycling stability are critical bottlenecks to their successful application. This project seeks to tackle these challenges by ....Developing Polymer Electrolytes for Operational All-Solid-State Batteries. This project aims to advance the development of safe rechargeable all-solid-state batteries (ASSBs) by innovating fluorinated block copolymers as solid-state electrolytes. ASSBs are the most promising power source for emerging energy storage goals, however, low ionic conductivity and poor long-term cycling stability are critical bottlenecks to their successful application. This project seeks to tackle these challenges by fabricating unique ionic conduction channels and stabilising electrode-electrolyte interfaces using fluorinated block copolymer electrolytes. The expected outcomes are new knowledge in polymer electrolytes and advancement in the commercialisation of ASSBs toward more efficient, safe and reliable energy storage technologies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100274
Funder
Australian Research Council
Funding Amount
$415,675.00
Summary
Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes wil ....Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.Read moreRead less
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less