Youth Voices was an innovative research project designed in response to the complex issues facing young people – particularly those in trouble with the law. Recognising that the perspectives of young people are frequently neglected, the project used an alternative approach to identify ways in which young people seek help, and who and what makes good help from their perspective.
Home-Centred Care For Children And Young People In Care
Funder
Australian Research Council
Summary
The research aims to:
-Determine how understandings of home enhance children and young people’s experiences in state care.
- Support carers to respond to children and young people’s needs.
- Develop home-centred principles and practice guidelines for organisations providing state care.
To leverage evidence-based research to develop new knowledge, technology and practices to benefit Australian children and families living in disadvantage
Enhancing Children's Journey In Out-of-Home Care: A Multi-perspective Study
Funder
Australian Research Council
Summary
A three-year study to examine children’s experiences of out-of-home care and their social, emotional and cultural outcomes. The project aims to provide evidence to improve service agencies’ understanding of children’s experiences in out-of-home care and how agencies can best support families, carers and communities to enhance the well-being of all children in out-of-home-care.
Software Quality Improvement Through Static Analysis and Annotation. Software forms the basis of critical infrastructure that supports industries such as electronic commerce. Flaws in the software can lead to failure of the overall system, or allow the security mechanisms of the software to be by-passed. This project is developing methods to improve the quality of software by finding common flaws that lead to security vulnerabilities or runtime failures. Within Australia, it is estimated that th ....Software Quality Improvement Through Static Analysis and Annotation. Software forms the basis of critical infrastructure that supports industries such as electronic commerce. Flaws in the software can lead to failure of the overall system, or allow the security mechanisms of the software to be by-passed. This project is developing methods to improve the quality of software by finding common flaws that lead to security vulnerabilities or runtime failures. Within Australia, it is estimated that there are approximately 75,000 software developers who make substantial use of C/C++ and who could benefit from the availability of better automatic static analysis tools to improve both the quality of the code they produce and their productivity.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
Combining Time Bands and Teleo-Reactive Programs for Advanced Dependable Real-Time Systems. Society is becoming increasingly reliant on sophisticated real-time computer systems in applications ranging from car stability control to critical infrastructure, such as railway signalling systems. Further, there is a demand for ever greater automation and sophistication in the software controlling these systems. The research challenge in this project is to provide robust implementations of these system ....Combining Time Bands and Teleo-Reactive Programs for Advanced Dependable Real-Time Systems. Society is becoming increasingly reliant on sophisticated real-time computer systems in applications ranging from car stability control to critical infrastructure, such as railway signalling systems. Further, there is a demand for ever greater automation and sophistication in the software controlling these systems. The research challenge in this project is to provide robust implementations of these systems in a way that allows one assess their dependability.
Australia industry is actively working in these areas through companies like Ansaldo Australia, in automated railway systems, and Boeing Australia, in the defence sector.Read moreRead less
Transaction Oriented Computational Models for Multi Agent Systems. Agent systems are a very promising technology for constructing complex, large-scale software. Australian researchers have made key
contributions in this area, particularly with reference to one mature and commonly adopted agent architecture known as BDI (Belief, Desire, Intention). To make this technology suitable for use in advanced applications, it has to be provided with robust and predictable behaviour. This project wil ....Transaction Oriented Computational Models for Multi Agent Systems. Agent systems are a very promising technology for constructing complex, large-scale software. Australian researchers have made key
contributions in this area, particularly with reference to one mature and commonly adopted agent architecture known as BDI (Belief, Desire, Intention). To make this technology suitable for use in advanced applications, it has to be provided with robust and predictable behaviour. This project will address that need by designing and implementing a novel agent language for BDI, based on contributions using transactional concepts for agents developed at The University of Melbourne. This will contribute to the development of robust and predictable agent software, that can be used in complex and large scale applications of the future.
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Derivation and timing analysis of concurrent real-time software. Safety-critical computer systems are commonly controlled by concurrent real-time software. Assurance of such systems requires rigorous methods for deriving the software and verifying its logical and timing correctness. This project will directly address this problem via a new paradigm for real-time programming that is based on a machine-independent concurrent real-time programming language, that explicitly represents timing deadlin ....Derivation and timing analysis of concurrent real-time software. Safety-critical computer systems are commonly controlled by concurrent real-time software. Assurance of such systems requires rigorous methods for deriving the software and verifying its logical and timing correctness. This project will directly address this problem via a new paradigm for real-time programming that is based on a machine-independent concurrent real-time programming language, that explicitly represents timing deadlines within programs. This allows a partitioning of the development process into a machine-independent phase that derives a program to meet a high-level specification, and a machine-dependent phase that checks that the timing deadlines within the generated machine code are guaranteed to be met.Read moreRead less