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ARC Discovery and Linkage ProjectsCurrently Funded ARC Discovery Projects
Completed ARC Discovery Projects Currently Funded ARC Linkage Projects
Completed ARC Linkage Projects Summaries of Current ARC Discovery ProjectsA Unified Grid Programming Methodology for Global e-ScienceARC Discovery 2007-2011 Prof DA Abramson Modern science requires huge computational resources and has become Global e-Science. Going far beyond individual super computers, Grids harness geographically distributed resources: dozens of super computers, workstations, clusters of computers, data bases, together with scientific instruments, such as telescopes or synchrotrons. Currently, Grids are difficult to use because they lack key software infrastructure. We shall develop this by both extending available Grid services and by building new software tools. Australian e-Science case studies will be pursued in environmental sciences, life and health sciences, and geo-sciences and will link to global Grids extending Australia's scientific capabilities globally. Adaptive data stream processing in heterogeneous distributed computing environments using real-time context ARC Discovery 2008-2010 A/Prof A. Zaslavsky; Dr S. Krishnaswamy; Dr M. Gaber [APD] This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as: 1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthcare professionals, stockbrokers). 2. Improving Intelligent Transportation Systems via in-vehicle analysis and crash prevention. 3. Facilitating 'on-board' analysis in sensors that monitor the environment and patients. The project will enhance Australia's leading international role in the area of data stream processing in distributed computing environments. Adaptiveness of self-organised decision making ARC Discovery 2008-2011 A/Prof B. Meyer; Dr A. Dussutour; Prof D. Green Complex systems are an important international research focus in many disciplines, and their engineering applications are plentiful. The new mathematical approach developed by this project will enable different disciplines for the first time to communicate using a common formal framework. This will open the path to a generalized understanding of self-organized systems in dynamic environments. Creating the tools for a unified interdisciplinary approach will allow Australia to gain a stronger position in biomimetic engineering and to take a lead in international research on collective behaviour. Analysing model transformations for combinatorial problems ARC Discovery 2008-2010 Prof M. Wallace; A/Prof M. Garcia de la Banda Maximising the benefits of limited resources is crucial for our industry, our hospitals, our security and ourenvironment. This is achievable through a technology called combinatorial optimisation, which also supports wiser investment, better engineering, and even accelerated bio-informatics. Applying the technology is highly skilled and effort intensive, so most of its potential benefits are unrealised. This project will break down some of the barriers which make it hard to use. The ultimate goal is to let the user state the problem in simple terms, and the computer work out how best to solve it. Our vision is for groups and organisations large and small to reap the benefits of combinatorial optimisation. Computational creativity: An evolutionary ecosystem approach ARC Discovery 2008-2010 Dr J. McCormack The creative industries are at the forefront of a 21st century economy. For Australia to play a leading role, artists and designers require innovative software systems that support original creative practice. Creativity is a highly sought-after yet little understood phenomena. This research will advance our understanding of creativity, developing imaginative new ways of working with technology: enabling creative outcomes that are difficult or impossible to achieve with existing software tools. In a global and rapidly changing industry, this project will give Australian creative practitioners and software developers a competitive edge, enhancing our international reputation as a leader in this area. Computational techniques for protease research ARC Discovery 2007-2009 Dr S. Boyd [APD] Correct protease function is essential to many life processes such as cell division, blood pressure and digestion. Malfunction can have devastating consequences such as autoimmune disease and cancer. Consequently, research into the mechanisms of protease function is fundamental to medical research and drug development. Current research is based on the assumption that the binding mechanisms that control protease behaviour are independent of each other. While this assumption is widely recognised as inadequate, it has never been redressed. This project will develop computational techniques to remove this assumption by addressing data analysis, experimental design, and prediction of protease behaviour in order to improve protease research. Constrained numerical optimisation techniques for automatic graph drawing ARC Discovery 2007-2009 Dr T. Dwyer Graph drawing is the field of computer science concerned with automatically generating visualisations of relational network data. It is an important tool for understanding networks such as: biological pathways; complex software designs; social networks such as crime organisations; or communications infrastructure. We aim to develop new graph drawing techniques based on introducing mathematically sound constraint optimisation methods into algorithms that attempt to arrange the graph by minimising a continuous energy function. Compared to existing graph drawing methods this will result in layout of higher quality and layout more easily customised to specific applications. Design after nature: Generative models for digital media ARC Discovery 2007-2009 Dr J. McCormack; Dr A. Dorin; Mr T. Innocent We will research biologically inspired computational models to develop new methods for computer creativity. The project aims to advance techniques for computer graphics modelling that can be applied to problems in the design and construction of rich, interactive visual environments. The systems we will construct allow the design of three-dimensional entities that develop and respond to their environment, a simulated ecosystem. The production of these virtual spaces has hitherto been difficult with existing technology. Our research provides a software tool capable of a broader range of expression than previous systems, and one that can be mastered by designers working with digital media. Discovering justified knowledge from data ARC Discovery 2007-2010 Prof G. Webb Knowledge Discovery from Data (KDD) has become a critical tool for science, commerce and public administration. However, its effectiveness is reduced by the propensity of some key techniques to make many spurious as well as real 'discoveries.' Such false discoveries can be misleading and extremely costly. Standard statistical techniques designed to address this problem do not directly scale-up to the massive numbers of potential discoveries that KDD routinely explores: their power is too low, and their computational requirements too high. This project will develop efficient and effective technologies to control the risk of false discoveries from those susceptible techniques, thereby greatly increasing the value and reliability of KDD. Emergence of robust, stable structures via computation within natural networks ARC Discovery 2007-2011 Prof D. Green Nature as computation is a powerful analogy that has proved a rich source of scientific insights and computing methodologies. This project addresses two central problems of natural computing: how self-organisation occurs within connected networks of agents and how global properties emerge from local interactions. These are explored both in living systems, including landscape genetics and social networks, as well as computational systems, especially multi-agent systems. Processes investigated include synchronisation, clustering, enslavement, feedback and phase changes. The results will provide insights into social issues and self-organization in networks of agents as well as novel methods for solving complex computational problems. Experience versus authority: science, musical theory and observation in Grocheo's De Musica and intellectual upheaval in the 13th century ARC Discovery 2005-2007 Dr C. Mews; Prof J. Crossley; Dr C. Williams The project will help break down disciplinary divisions between those interested in medieval musicology, the history of science and the history of ideas by bringing together specialists from all three domains. The production of an interdisciplinary monograph devoted to an upheaval in thinking in 13th century Europe , in which experience challenged arguments from authority, will deepen awareness of the interconnectedness of the musical, scientific and intellectual traditions inherited by Western culture. It will also encourage international recognition of the innovative capacity of Australian scholars to engage in interdisciplinary research, and provide an opportunity to nurture early career and postgraduate researchers within this country. Improving the effectiveness of conceptual model validation work ARC Discovery 2007-2009 Prof R. Weber; Dr S. Milton Errors or omissions in conceptual models often lead to significant problems when information systems are being built. Prior research has shown the cost of fixing the consequences of such errors or omissions grows exponentially as a function of how late they are discovered. Thus, significant economic benefits arise if they are identified early int he system development process. The project outcomes will facilitate early prevention and detection of errors of omissions in conceptual models. They will also contribute to attainment of the national priority goal of smart information use through improved data management. Learning semi-naive Bayesian classifiers from numeric data ARC Discovery 2007-2009 Dr Y. Yang Fast and accurate classification is critical to many aspects of our society, such as doctors classify whether a patient is sick or banks classify whether a transaction is fraud. Semi-native Bayesian classifiers (SNB) are a cutting-edge technique that holds a great potential to offer fast and accurate classification. However, one obstacle to SNB's extensive deployment is that SNB is sub-optimal when applied to numeric data, such as blood pressure readings in clinics or share prices in stock markets. This project aims at optimizing SNB's accuracy and efficiency in face of numeric data. It will hence deliver fast and accurate classification technologies that are of immediate and substantial impact, including life saving and crime prevention. Multi-sensory fusion and understanding in robotic assistive technology environments ARC Discovery 2008-2010 Prof R. Jarvis; Prof I. Zukerman; Dr J. Alexandersson; Prof Y. Shirai The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The synergy between Language Technology and Robotics will attract post-graduate students in these areas, and potentially commercialisation interest. The demonstration prototype will provide proof of concept of an application that improves the capabilities of human-centric environments, especially for people with limited mobility or cognitive function. The deployment of this research will extend the independence of such people beyond the time when they may otherwise need to be institutionalized, which will benefit both them and the remainder of society. Organisational motivation as a predictor of benefits from the adoption of Information Technology ARC Discovery 2006-2008 Dr M. Rahim; Prof G. Shanks; Dr R. Johnston IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence based methods for IOS implementation. The theory being tested is an original contribution in a growing area of information technology research. The data and rigorously tested research protocols developed will enhance Australia'a research standing, contribute to university teaching and researcher training, and improve the effectiveness and efficiency of the Australian information technology industry. Pattern-Based Video Coding Techniques for Real Time Low Bit Rate and Low Complexity Encoding ARC Discovery 2006-2008 A/Prof MM Murshed This project will benefit the National Research Priority on Frontier Technology with applications in video surveillance, smart home design, and patient monitoring. It will enable Australia to lead the world in setting up coding standards and thus impact directly on the manufacturing initiatives of the multimedia communication and entertainment industries. Telecommunication industries will be the immediate beneficiary by enabling quality live video transmissions at low bit rates in a cost effective manner. This project will improve the ability of large organisations to operate virtually across huge distances in Australia with the aid of reliable multimedia communications using distributed devices of limited power and processing capacity. Smart Information Portals: Meeting knowledge and decision support needs of health care ARC Discovery 2006-2008 A/Prof F Burstein; A/Prof JR Warren; Prof SM McKemmish; A/Prof J Fisher Access to quality information is vital in empowering consumers to achieve better health outcomes. While the Australian government is championing consumer-oriented health information provision online, there are gaps between identified needs and what current online information systems are capable of delivering, along with continuing concerns about information quality and reliability. The project will systematically investigate how smart information portals, tailored to consumer communities needs, can best combine intelligent technologies and metadata-driven approaches to enable more effective and efficient delivery of high quality information to meet the diverse and changing information and decision support needs of health information consumers. Supporting adaptive diagrammatic communication ARC Discovery 2004-2008 Prof K. Marriott; Dr B. Meyer; A/Prof P. Stuckey The computing environment of the near future will allow users to access and interact with digital information using an incredible variety of devices. Regardless of these changes, humans will still be communicating using diagrams and sketches. But unlike today where diagrams are static, lifeless objects reflecting their origin in print media, the computer of the near future will provide more flexible visual computer interfaces which support adaptive layout, user interaction and semantics based retrieval. Based on geometric constraint solving, this project will provide a generic computational basis for this radically new view of diagrams. Summaries of Current ARC Linkage ProjectsA scalable debugging framework for petascale computers A high throughput Grid based environment for real time bio-medical imaging Methods and software for efficiently solving the transportation crewing proble Sentiment detection from opinion surveys the quest for customer and employee satisfaction |
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