Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process mo ....Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process models. This language will enable superior approaches to business process modelling and hence smarter use of information. This will place Australia at the forefront of developments in business process management: a crucial technology in today's global, dynamic and heterogeneous environments.Read moreRead less
Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management a ....Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing for very large and highly complex data.Read moreRead less
Coarse Grained Parallel Algorithms. Various fields of research face barriers created by problems that are computationally hard and/or require processing of large amounts of data. For example, some computational biochemistry methods on protein or gene sequences can not be scaled up to data sets required for human health research because of performance problems. Parallel computing enables new research by increasing the size of solvable problems. In addition to fundamental parallel computing resear ....Coarse Grained Parallel Algorithms. Various fields of research face barriers created by problems that are computationally hard and/or require processing of large amounts of data. For example, some computational biochemistry methods on protein or gene sequences can not be scaled up to data sets required for human health research because of performance problems. Parallel computing enables new research by increasing the size of solvable problems. In addition to fundamental parallel computing research, this project studies parallel algorithms for structure-based drug design and protein-protein interaction prediction that will enable new biochemistry research, as well as parallel algorithms for data cubes that will help enable the next generation of very large data warehouses.Read moreRead less
Personalised Ontology Learning and Mining for Web Information Gathering. The project will provide a flexible framework for a sound theoretical model of personalised systems. It will significantly influence the development of personalised Web services and many leading industry organisations that attempt to deliver personalised services to their valuable customers. The proposed project will also strengthen the pre-existing international collaboration networks. It will establish Australian researc ....Personalised Ontology Learning and Mining for Web Information Gathering. The project will provide a flexible framework for a sound theoretical model of personalised systems. It will significantly influence the development of personalised Web services and many leading industry organisations that attempt to deliver personalised services to their valuable customers. The proposed project will also strengthen the pre-existing international collaboration networks. It will establish Australian researchers leading position in the related research fields and communities, and provide an established paradigm for other researchers to follow. In addition, the project will provide significant contributions to Australian National Research Priority in the areas of Smart Information Use.Read moreRead less
Advanced computational techniques for micro/nano multiscale systems of NEMS/BioMEMS. The outcome of this project will have the following benefits to Australia.
1) It will improve the research level in the area of multiscale simulation of NEMS/BioMEMS;
2) The project will be beneficial to possibly establish new industries in the areas of nanotechnology as well as to make good use of today's microelectronics, mircofabrication and computer technology that have already established in Australia;
....Advanced computational techniques for micro/nano multiscale systems of NEMS/BioMEMS. The outcome of this project will have the following benefits to Australia.
1) It will improve the research level in the area of multiscale simulation of NEMS/BioMEMS;
2) The project will be beneficial to possibly establish new industries in the areas of nanotechnology as well as to make good use of today's microelectronics, mircofabrication and computer technology that have already established in Australia;
3) The manpower trained by this project in the areas of multi-scale simulation of MEMS/NEMS/BioMEMS will provide a crucial support for the future industry of Australia.
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Spatio-temporal modelling of Ras dependent MAP kinase activation. This project is at the heart of the national research priority 'Frontier Technologies for Building and Transforming Australian Industries'. Using cutting edge methods and techniques of systems biology, coupled with innovative experimental molecular cell biology we will construct and simulate mathematical models of the EGF-regulated MAP kinase pathway. The project will yield new insights into the fundamental mechanisms of cell sign ....Spatio-temporal modelling of Ras dependent MAP kinase activation. This project is at the heart of the national research priority 'Frontier Technologies for Building and Transforming Australian Industries'. Using cutting edge methods and techniques of systems biology, coupled with innovative experimental molecular cell biology we will construct and simulate mathematical models of the EGF-regulated MAP kinase pathway. The project will yield new insights into the fundamental mechanisms of cell signal transduction that drive cell division, differentiation and transformation and may enable the design of new anticancer therapies. Importantly, the modelling and simulation methods developed in the project will have a general applicability to other complex systems such as sustainable ecological systems.Read moreRead less
Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will ex ....Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework for exploring and validating genetic regulatory models in general. This will be used on an exemplar application for understanding the induction process in lambda phage.Read moreRead less
New Developments for Bayesian statistical models and computational methods. Bayesian methods of statistical analysis provide a flexible theory for addressing inference in the presence of uncertainty. Consequently Bayesian methods have enabled scientific discovery in areas characterised as complex systems where new developments in modelling and computational methods have been crucial. Significant barriers to further success involve challenges in formulating and validating models, dealing with l ....New Developments for Bayesian statistical models and computational methods. Bayesian methods of statistical analysis provide a flexible theory for addressing inference in the presence of uncertainty. Consequently Bayesian methods have enabled scientific discovery in areas characterised as complex systems where new developments in modelling and computational methods have been crucial. Significant barriers to further success involve challenges in formulating and validating models, dealing with large data sets, and developing efficient computational methods. The principal aim of this project is to develop new Bayesian modelling and computational methodology which address these challenges with broad application.Read moreRead less
Novel Applied Bayesian Statistics for Monitoring Neuromuscular Diseases. Neurological diseases such as motor neurone disease are caused by the progressive death of motor units serving a muscle. Currently there are no ways of quantifying and detecting change in the number of motor units serving a muscle which are non-invasive. Our research will provide an objective method for the progression of neuromuscular diseases to be monitored with minimal inconvenience to patients. This will allow clinic ....Novel Applied Bayesian Statistics for Monitoring Neuromuscular Diseases. Neurological diseases such as motor neurone disease are caused by the progressive death of motor units serving a muscle. Currently there are no ways of quantifying and detecting change in the number of motor units serving a muscle which are non-invasive. Our research will provide an objective method for the progression of neuromuscular diseases to be monitored with minimal inconvenience to patients. This will allow clinical trials for possible effective treatments of neurological diseases such as motor neurone disease to be conducted with an objective measurement of disease progression. Read moreRead less
Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biolog ....Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biological data. In this project we will develop efficient methodologies and data structures for gathering high-quality approximations of full genomic information, and will use these innovations as the foundation to develop novel, practical tools for clustering and visualization in genomic data mining and database management.
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