Discovery Early Career Researcher Award - Grant ID: DE130100614
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Novel statistical algorithms and methods to quantify and partition pleiotropy between complex traits in populations. A fundamental question in biology is how common genetic effects are shared between traits or groups. For example, is cognition or human behaviour genetically identical across genders or across human population groups? This project will address these questions using multiple independent genome-wide association studies.
Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth ....Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.Read moreRead less
Effective software vulnerability detection for web services. This project aims to design and implement new and better methods to find vulnerabilities in software services delivered over the web or through the cloud, as well as methods for proving the absence of certain types of vulnerability. So-called injection attacks are pervasive and generally considered the most important security threat on today's Internet. The programming languages used for software services tend to use strings as a unive ....Effective software vulnerability detection for web services. This project aims to design and implement new and better methods to find vulnerabilities in software services delivered over the web or through the cloud, as well as methods for proving the absence of certain types of vulnerability. So-called injection attacks are pervasive and generally considered the most important security threat on today's Internet. The programming languages used for software services tend to use strings as a universal data structure, which unfortunately makes it hard to separate trusted code from untrusted user-provided data. This project intends to develop novel program analysis tools and string constraint solvers, and employ these tools to support sophisticated automated reasoning about string manipulating software.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347131
Funder
Australian Research Council
Funding Amount
$115,490.00
Summary
Intelligent Computer System to Access Information Directly from the Brain Using High Resolution Electroencephalography and Repetitive Transcranial Magnetic Stimulation. The ambitious aim of this project is to create a novel intelligent computer system which accesss information from the brain. To do this we use repetitive Transcranial Magnetic Stimulation and high resolution Electroencephalography.
Improving Global Tuberculosis Control With The AuTuMN Platform
Funder
National Health and Medical Research Council
Funding Amount
$655,059.00
Summary
Tuberculosis (TB) is the world’s leading infectious killer, with the failure of global control responsible for the vast majority of Australia’s cases. Using our robustly developed software platform, we have performed several country-level studies to predict the future burden of disease and compare the impact of alternative responses to controlling the epidemic. In this project, we will extend our platform to perform simulations at the global level and answer key questions in TB control.
An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied t ....An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied to large and divergent biological sequences. The success of this project will not only make significant contribution to the relevant research fields, but also help achieve goals in certain real-life biological research projects which are unique and important to Australia.Read moreRead less
Achieving Tailored Industrial Software Process Improvement with Experience Repositories and Electronic Process Guides. There is a well-recognised need for organisations to improve their software development processes in order to achieve higher software quality and greater efficiencies in development. The use of electronic process guides and experience repositories have been two technologies independently proposed to achieve these aims. This research will develop a framework, methods and tools ....Achieving Tailored Industrial Software Process Improvement with Experience Repositories and Electronic Process Guides. There is a well-recognised need for organisations to improve their software development processes in order to achieve higher software quality and greater efficiencies in development. The use of electronic process guides and experience repositories have been two technologies independently proposed to achieve these aims. This research will develop a framework, methods and tools to allow integration of experience repositories and electronic process guides to facilitate process tailoring, process improvement, and project management. The result will be significant improvements in software development productivity and quality.Read moreRead less
Viewable Measures for Component-Based Software Engineering. Software costs over US$300 billion per year worldwide with around 70% of large projects failing to complete in time. Reliable estimation of development effort is a great challenge in Software Engineering. This project aims to develop a reliable multi-dimensional software size measure and an effort estimation model for a new method of development called component based software engineering. We will validate our results theoretically and ....Viewable Measures for Component-Based Software Engineering. Software costs over US$300 billion per year worldwide with around 70% of large projects failing to complete in time. Reliable estimation of development effort is a great challenge in Software Engineering. This project aims to develop a reliable multi-dimensional software size measure and an effort estimation model for a new method of development called component based software engineering. We will validate our results theoretically and test it against empirical data from software industry. We will provide novel visualization techniques to comprehend measurements of large systems. The outcomes will help software projects better estimate deadlines and budgets thus reducing costs significantly.Read moreRead less
Processing large data sets on commodity data-parallel hardware. The project aims to reduce the costs of software development by improving the accessibility of massively data-parallel processors, termed graphics processing units (GPUs). The project seeks to develop a high-level programming system with data streaming support targeting GPUs and multi-GPU architectures. This would facilitate the difficult task of developing parallel applications for high-performance computing architectures. The comb ....Processing large data sets on commodity data-parallel hardware. The project aims to reduce the costs of software development by improving the accessibility of massively data-parallel processors, termed graphics processing units (GPUs). The project seeks to develop a high-level programming system with data streaming support targeting GPUs and multi-GPU architectures. This would facilitate the difficult task of developing parallel applications for high-performance computing architectures. The combination of parallelism and data streaming is designed to enable efficient processing of data too big to be held in device memory, which is a common problem in scientific computing, data analysis and machine learning. The project plans to integrate data streaming into an existing system, currently targeting single GPU architectures and which is successfully used in both industry and research.Read moreRead less
Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff ....Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk. Read moreRead less