Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Stochastic Geometry for Multi-sensor Data Fusion System. The aim of this project is to develop efficient algorithms for tracking and sensor management in a multi-sensor multi-target environment. Finite random set theory provides a natural way of representing a random number of (random) object states, an issue that has been largely ignored in the tracking literature until recently. Although a satisfactory foundation for multiple object filtering has been provided by random set theory, in this ear ....Stochastic Geometry for Multi-sensor Data Fusion System. The aim of this project is to develop efficient algorithms for tracking and sensor management in a multi-sensor multi-target environment. Finite random set theory provides a natural way of representing a random number of (random) object states, an issue that has been largely ignored in the tracking literature until recently. Although a satisfactory foundation for multiple object filtering has been provided by random set theory, in this early stage no algorithm capable of tracking many targets has emerged from this framework. We are confident that efficient algorithms can be developed by exploiting the insights and mathematical tools of stochastic geometryRead moreRead less
Preclinical Development Of A Therapeutic Anticancer Antibody To C-Met
Funder
National Health and Medical Research Council
Funding Amount
$435,530.00
Summary
Many common cancers cannot be effectively treated. A range of these cancers (e.g. gastric and lung cancer) display the molecule c-Met on their cell surface. c-Met promotes tumour growth; therefore, blocking c-Met is a promising strategy for treating these cancers. However, no antibodies or drugs that target c-Met have been licensed. The therapeutics that are being developed to target c-Met all have considerable limitations. Thus, there is an opportunity to develop a 'best-in-class' therapeutic.
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0346878
Funder
Australian Research Council
Funding Amount
$190,000.00
Summary
GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine ....GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine state-of-the-art computational
techniques recently developed at ANU, and high quality data sets
collected over the past decade to address fundamental questions in
the Geosciences.Read moreRead less
Special Research Initiatives - Grant ID: SR0354727
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Mathematics for Government, Industry and Community -- The *Magic* Network. The *Magic* network will promote the use of mathematics by government, industry and community to analyse real problems and implement practical solutions. It will connect the most promising young Australian mathematicians to experienced researchers with strong research teams linked directly to the broader community. Our program will demand research excellence, emphasise a sustainable society, support outstanding young mat ....Mathematics for Government, Industry and Community -- The *Magic* Network. The *Magic* network will promote the use of mathematics by government, industry and community to analyse real problems and implement practical solutions. It will connect the most promising young Australian mathematicians to experienced researchers with strong research teams linked directly to the broader community. Our program will demand research excellence, emphasise a sustainable society, support outstanding young mathematicians and create opportunities for promising postgraduate students. We will offer scholarships for professional development and fund research visits and exchanges. *Magic* will provide tangible incentives for young Australian mathematicians and a new generation of researchers and research leaders.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100009
Funder
Australian Research Council
Funding Amount
$4,861,236.00
Summary
ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdiscip ....ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.Read moreRead less
Most eye diseases have a genetic contribution, whether rare disorders affecting children such as retinoblastoma or congenital cataracts through to common disorders of older people such as myopia, age-related macular degeneration or glaucoma. We will continue our successful research to find genes that cause these diseases and use this to improve patient care and prevent blindness. We will work out how families can use this genetic information to participate in trials to develop new treatments.
Antimalarial Drugs In Pregnancy: Preclinical And Clinical Studies Of Conventional And Novel Agents
Funder
National Health and Medical Research Council
Funding Amount
$470,115.00
Summary
Women in malaria-endemic areas such as coastal PNG are at high risk of malaria in pregnancy. To prevent the substantially increased malaria-associated morbidity and mortality in mother and child, and because even asymptomatic infections can be deleterious, there has been a move to giving antimalarial drugs regularly during pregnancy regardless of the mother's clinical or parasitological status. In poor tropical countries, such treatment usually comprises safe and inexpensive agents such as chlor ....Women in malaria-endemic areas such as coastal PNG are at high risk of malaria in pregnancy. To prevent the substantially increased malaria-associated morbidity and mortality in mother and child, and because even asymptomatic infections can be deleterious, there has been a move to giving antimalarial drugs regularly during pregnancy regardless of the mother's clinical or parasitological status. In poor tropical countries, such treatment usually comprises safe and inexpensive agents such as chloroquine and Fansidar. There are two main issues with this approach. First, the efficacy of such conventional agents is waning and this increases the risk of break-through malaria. Second, there are few data on how the drugs are handled in pregnancy on which to base recommendations for treatment. We plan to collect information on the disposition and effectiveness of chloroquine and Fansidar in women with malaria in pregnancy in PNG that should allow a critical appraisal of the usefulness of current regimens in PNG and in other tropical countries where parasite resistance to these agents is emerging. Artemisinin combination therapy (ACT) in the form of a novel artemisinin drug and a longer-acting partner has been suggested as the most promising alternative therapy for malaria in pregnancy if conventional drugs fail. We plan to assess the safety of a leading ACT formulation, namely dihydroartemisinin and the chloroquine-like drug piperaquine (DHA-PQ), in animals before extending our studies to women with malaria in PNG. These latter studies will allow an evaluation of the safety and efficacy of DHA-PQ as novel therapy for malaria in pregnancy in PNG and other tropical countries.Read moreRead less
Developing New Therapeutic Strategies For Brain Cancer
Funder
National Health and Medical Research Council
Funding Amount
$763,845.00
Summary
Each year, over 1,500 Australians will develop brain cancer. Unlike many cancers, it cannot be prevented by lifestyle changes. Adults with brain cancer usually die within 2 years. The overall aims of this funding are to extend patients' lives and build brain cancer research in Australia so that we have the best chance of curing this disease. The expected outcome is clinical trial of drug candidates for the most common and most deadly brain cancer, high-grade glioma.