The fundamental equations for inversion of operator pencils. This project seeks to deepen understanding of how complex systems may be significantly changed by incremental changes to ambient conditions. Mathematical models of complex systems (climate change processes, optimal driving strategies, efficient distribution policies, effective search routines) often depend on key parameters. If small perturbations to the parameters cause large changes to the solution, then the perturbations are said to ....The fundamental equations for inversion of operator pencils. This project seeks to deepen understanding of how complex systems may be significantly changed by incremental changes to ambient conditions. Mathematical models of complex systems (climate change processes, optimal driving strategies, efficient distribution policies, effective search routines) often depend on key parameters. If small perturbations to the parameters cause large changes to the solution, then the perturbations are said to be singular. This project aims to reveal the underlying mathematical structures and develop new computational algorithms to analyse a general class of perturbed systems both locally near an isolated singularity and globally. It plans to use these algorithms to solve systems of equations, calculate generalised inverse operators, examine perturbed Markov processes, and estimate exit times from meta-stable states in stochastic population dynamics.Read moreRead less
Capacitating student aspirations in classrooms and communities in a high poverty region. This project studies the aspirations of students in a disadvantaged area, as cultural resources for completing school, accessing higher education and realising desirable futures. It will produce new concepts and research methods for increasing social equity by working closely with students and families, and making links between schools and communities.
Pursuing equity in high poverty rural schools: improving learning through rich accountabilities. Poor performance of students in schools located in high poverty communities is a pressing educational problem for Australia, with educational disadvantage in poor rural communities in particular demanding amelioration. The evidence suggests the equity and quality of schooling outcomes are centrally important to the nation's economic future, the strength of Australian democracy, social inclusion and a ....Pursuing equity in high poverty rural schools: improving learning through rich accountabilities. Poor performance of students in schools located in high poverty communities is a pressing educational problem for Australia, with educational disadvantage in poor rural communities in particular demanding amelioration. The evidence suggests the equity and quality of schooling outcomes are centrally important to the nation's economic future, the strength of Australian democracy, social inclusion and a unified nation. In strengthening policy and practice knowledge about educative usage of performance data and the development of rich forms of accountability, the research will advance the academic literature and provide an evidence base for success of the national partnership on low socio-economic status schools.Read moreRead less
Special Research Initiatives - Grant ID: SR0354693
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in ....Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in other RNs linking to their motivating applications, enhancing prospects for research and integration. They participate in the APAC Grid program, leveraging 75 HPC staff nationally. A key aim is interoperability with "real-world Grids": eg e-learning & e-health programs.Read moreRead less
Supporting teachers and teaching in flexible and non-traditional schools . This project aims to address a critical gap in knowledge about the experiences and conditions of people who teach in flexible and non-traditional schools in Australia. These schools provide a second chance at education for young people with challenging behaviours and/or learning problems. This project expects to generate new knowledge about the experiences and needs of these teachers, using a combination of in-depth resea ....Supporting teachers and teaching in flexible and non-traditional schools . This project aims to address a critical gap in knowledge about the experiences and conditions of people who teach in flexible and non-traditional schools in Australia. These schools provide a second chance at education for young people with challenging behaviours and/or learning problems. This project expects to generate new knowledge about the experiences and needs of these teachers, using a combination of in-depth research methods. Expected outcomes include detailed understanding of support needs for this workforce. This will significantly benefit teachers, sponsors and principals through recommendations on best practice management of this important work, along with evidence-based training artefacts for staff recruitment and retention.
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ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the mat ....Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the matching of the clusters across the entities in the class. The project will use a statistical approach to automatically match the clusters, since the overall mixture model provides a template for the class. It will provide a basis for discriminating between different classes in addition to the identification of atypical data points within a sample and of anomalous samples within a class. Key applications include biological image analysis and the analysis of data in flow cytometry which is one of the fundamental research tools for the life scientist.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101565
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodol ....Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodologies in finite mixture modelling using skew component distributions to provide better models for handling data with non-normal features (such as skewness, heavy/light tails, and multimodality). Applications may include security intrusion detection, clinical diagnosis and prognosis, and flow and mass cytometry.Read moreRead less
Campus: Building Modern Australian Universities. This project plans to examine the post-World War Two evolution of the Australian university campus. Modern campuses created opportunities for the realisation of innovative solutions in urban planning, architecture and landscape. The project plans to reveal the physical impacts of political, institutional, social and cultural demands through comparative thematic investigation, digital visualisation and detailed case studies. Foregrounding landscape ....Campus: Building Modern Australian Universities. This project plans to examine the post-World War Two evolution of the Australian university campus. Modern campuses created opportunities for the realisation of innovative solutions in urban planning, architecture and landscape. The project plans to reveal the physical impacts of political, institutional, social and cultural demands through comparative thematic investigation, digital visualisation and detailed case studies. Foregrounding landscape and site, the project aims to establish new historical knowledge, identify campuses as catalysts for urban thinking, and demonstrate strategies for their conservation and adaptation to meet future needs in the tertiary sector.Read moreRead less
Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental ....Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental protection against PFASs and establishment of new approaches for predicting functional containment lifetimes of liner systems. These outcomes are expected to benefit the waste and remediation industries by influencing next-generation design regulations to ensure long-term environmental protection from PFAS.Read moreRead less