Discovery Early Career Researcher Award - Grant ID: DE150100240
Funder
Australian Research Council
Funding Amount
$315,000.00
Summary
Geometry and Conditioning in Structured Conic Problems. Conic programming allows one to model and solve large industrial problems via modern optimisation methods, such as interior-point algorithms. These methods are efficient and reliable in solving a vast number of problems, however, they fail on a relatively small but significant set of ill-posed instances, thus affecting the overall reliability of the technique. The reason for such behaviour is profound and constitutes one of the major unsolv ....Geometry and Conditioning in Structured Conic Problems. Conic programming allows one to model and solve large industrial problems via modern optimisation methods, such as interior-point algorithms. These methods are efficient and reliable in solving a vast number of problems, however, they fail on a relatively small but significant set of ill-posed instances, thus affecting the overall reliability of the technique. The reason for such behaviour is profound and constitutes one of the major unsolved problems in real complexity: there is no known algorithm that solves conic problems with real data in polynomial time. The project aims to develop a deep understanding of the geometry of conic problems, aiming for the resolution of this fundamental problem in computational theory.Read moreRead less
Innovations in spherical approximation - construction, analysis and applications. The motivating problems for this project come from geophysics, including climate, weather forecasting, planetary gravitation and magnetism, and from coding theory and molecular chemistry. National benefit is expected to arise both from an improved ability to handle problems of key economic importance, and from an enhanced position in the international scientific world, through public presentation in leading journa ....Innovations in spherical approximation - construction, analysis and applications. The motivating problems for this project come from geophysics, including climate, weather forecasting, planetary gravitation and magnetism, and from coding theory and molecular chemistry. National benefit is expected to arise both from an improved ability to handle problems of key economic importance, and from an enhanced position in the international scientific world, through public presentation in leading journals and international conferences, and from direct collaboration with internationally leading scientists from USA, UK and Germany. The project will also increase the pool of trained mathematicians with expertise in areas important for applications.
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Uncertain Systems Theory applied to Nonlinear Robust Control and Filtering. Feedback control systems are becoming increasingly important in manufacturing industry, the automotive industry, defence applications as well as in many non-industrial applications such as the management of the environment or the economy. By developing new techniques for the design of high performance robust nonlinear controllers and filters which are widely applicable in industrial applications, this project will help m ....Uncertain Systems Theory applied to Nonlinear Robust Control and Filtering. Feedback control systems are becoming increasingly important in manufacturing industry, the automotive industry, defence applications as well as in many non-industrial applications such as the management of the environment or the economy. By developing new techniques for the design of high performance robust nonlinear controllers and filters which are widely applicable in industrial applications, this project will help make existing industrial technologies more efficient and make new industrial technologies feasible. Moreover, the research training carried out in the project will add to available a pool of experts in the areas of robust nonlinear control and filtering. Read moreRead less
Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This resear ....Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This research program will develop the complex signal processing and system methodology needed to create a suitable tool set.Read moreRead less
Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and be ....Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and better use of renewable energy sources, with significant cost savings for railways and the wider community.Read moreRead less
Robust State Estimation of Complex Multi-Object Systems. Conceptual advances will be made in the area of robust state estimation of complex systems. New design rules will be developed and published in the top international journals and major international conferences. The main benefit of this project will be its direct applications to industrial control problems in the military equipment and manufacturing industries, bio-engineering, and automobile industry. We also build a world class research ....Robust State Estimation of Complex Multi-Object Systems. Conceptual advances will be made in the area of robust state estimation of complex systems. New design rules will be developed and published in the top international journals and major international conferences. The main benefit of this project will be its direct applications to industrial control problems in the military equipment and manufacturing industries, bio-engineering, and automobile industry. We also build a world class research group at the University of New South Wales to focus attention on multi-object state estimation. There will be increased capacity for contract research, international collaboration with leading researchers in the area and high quality Ph.D. graduates in the field of Systems and Control.Read moreRead less
Modelling and estimation techniques for the transmission and control of Tuberculosis with new and existing vaccines. Most Tuberculosis in Australia is seen in foreign-born people. Australia has an important role in providing leadership in the Asia-Pacific region in Tuberculosis control, which will have flow-on benefits to TB control in this country. Using mathematical models, this project will assess the use of vaccines for Tuberculosis in the developing world. Rising levels of extremely drug r ....Modelling and estimation techniques for the transmission and control of Tuberculosis with new and existing vaccines. Most Tuberculosis in Australia is seen in foreign-born people. Australia has an important role in providing leadership in the Asia-Pacific region in Tuberculosis control, which will have flow-on benefits to TB control in this country. Using mathematical models, this project will assess the use of vaccines for Tuberculosis in the developing world. Rising levels of extremely drug resistant infections make this a timely and important study with significant policy implications, both externally and in the Australian context. Read moreRead less
Competitive supplier bidding in supply chains. This project will use mathematical modelling to contribute to better management practice in dealing with procurement. With the increasing use of auctions and sophisticated bidding procedures it is essential to improve our understanding of this important area.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668549
Funder
Australian Research Council
Funding Amount
$280,000.00
Summary
Major upgrade of the computing hardware and software for the widely used BioManager bioinformatic service. ANGIS has been an Australian national facility for bioinformatics since 1991, now with over 4000 users across 150 university schools or departments, government departments, hospitals and research institutes. The grant will provide the computer upgrade and software support needed to handle the enormous increases in database size and complexity and expand the service into new areas of bioinfo ....Major upgrade of the computing hardware and software for the widely used BioManager bioinformatic service. ANGIS has been an Australian national facility for bioinformatics since 1991, now with over 4000 users across 150 university schools or departments, government departments, hospitals and research institutes. The grant will provide the computer upgrade and software support needed to handle the enormous increases in database size and complexity and expand the service into new areas of bioinformatics. Bioinformatics is critical to much of modern biology, and the improvements will enhance research and data analysis in many areas of research, leveraging more value from the research being undertaken by users. Read moreRead less
Robust estimation of cardiac output and oxygen consumption from simple non-invasive physiological variables. We aim to develop robust mathematical and physiological models to estimate cardiac output and oxygen consumption of an exercising individual from simple non-invasive physiological parameters such as heart rate, respiration, body temperature and body movement (using multiple triaxial accelerometers).
The models developed will provide a better understanding of the human cardiovascular s ....Robust estimation of cardiac output and oxygen consumption from simple non-invasive physiological variables. We aim to develop robust mathematical and physiological models to estimate cardiac output and oxygen consumption of an exercising individual from simple non-invasive physiological parameters such as heart rate, respiration, body temperature and body movement (using multiple triaxial accelerometers).
The models developed will provide a better understanding of the human cardiovascular system response to exercise, and could be incorporated as part of a closed loop control system for cardiac pacemakers and/or heart assist devices.
Outcomes will include increased scientific knowledge, new robust models of the exercising cardiovascular /respiratory / thermoregulatory system and advanced biomedical instrumentation.
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