Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
The MYB gene as a model for global transcriptional regulation: stopping, starting and looping. This project will study how transcriptional elongation controls the MYB gene, a key regulator of normal and cancerous growth and regulation. There are three major benefits that are likely to flow from the proposed research It will strengthen research in new and important areas of transcriptional regulation, by building research capacity in Australia in the area of gene expression, particularly with res ....The MYB gene as a model for global transcriptional regulation: stopping, starting and looping. This project will study how transcriptional elongation controls the MYB gene, a key regulator of normal and cancerous growth and regulation. There are three major benefits that are likely to flow from the proposed research It will strengthen research in new and important areas of transcriptional regulation, by building research capacity in Australia in the area of gene expression, particularly with respect to transcriptional elongation and long-range regulation. It will highlight a new approach to the therapeutic targeting of MYB in cancer: data generated from this research may enable us to target MYB expression in a range of cancers including breast cancer by inhibiting transcriptional elongation. And it will provide training in advanced molecular biology to postdoctoral scientists and students.Read moreRead less
A novel link between plant pathogen defence and DNA repair capability. Plants and plant-based industries are essential for the provision of food, clothing and building materials and underpin the economies of rural communities. Plant yield and quality and the biodiversity of natural systems are dramatically reduced by disease. The fundamental knowledge gained from our research will enable manipulation of the factors that enhance disease resistance resulting in a significant benefit to Australian ....A novel link between plant pathogen defence and DNA repair capability. Plants and plant-based industries are essential for the provision of food, clothing and building materials and underpin the economies of rural communities. Plant yield and quality and the biodiversity of natural systems are dramatically reduced by disease. The fundamental knowledge gained from our research will enable manipulation of the factors that enhance disease resistance resulting in a significant benefit to Australian agriculture and protection of our natural resources. The current reliance for disease control on chemicals that damage the environment will be reduced and our research will contribute directly to the provision of cheaper, simpler and more effective methods of control.
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Tracing real Internet attackers through information correlation. If this research accomplishes successfully, it will be a big step forward on tracing Internet attackers in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crime and terrorism. It will also greatly reduce the damage caused by Internet crime and terrorism. The prototype of the distributed information correlation tracing system can possibly be patented or even ....Tracing real Internet attackers through information correlation. If this research accomplishes successfully, it will be a big step forward on tracing Internet attackers in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crime and terrorism. It will also greatly reduce the damage caused by Internet crime and terrorism. The prototype of the distributed information correlation tracing system can possibly be patented or even be commercialised. The capability of a nation to trace the real source of any attacks on its information infrastructure is central to the control of such attacks and hence to a nation's long-term survival and prosperity.Read moreRead less
Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The exp ....Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The expected outputs will provide designers, organisations, regulators and governments with a framework to support the design, implementation, and management of safe and efficient AGI systems. This will ensure that the potential far-reaching benefits of AGI are realised without undue threat to society.Read moreRead less
A new G-protein coupled receptor target for conotoxins. We aim to understand the interaction between venom components from the marine cone snail, a major source of potential drug leads, and a key receptor in nerve cell signalling. This receptor plays a role in many nervous system functions and has been proposed as a target for treating a range of diseases including pain, depression and drug addiction. It is critical that we understand this interaction so we can fully exploit the potential of the ....A new G-protein coupled receptor target for conotoxins. We aim to understand the interaction between venom components from the marine cone snail, a major source of potential drug leads, and a key receptor in nerve cell signalling. This receptor plays a role in many nervous system functions and has been proposed as a target for treating a range of diseases including pain, depression and drug addiction. It is critical that we understand this interaction so we can fully exploit the potential of these molecules as drug leads. The potential exists for multibillion dollar markets for these new drugs that could provide significant economic benefits to Australia.Read moreRead less
New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficie ....New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.Read moreRead less
A new approach to compressed sensing. Compressed sensing is an exciting new paradigm promising vastly improved signal sampling and reconstruction in a wide variety of applications including digital cameras, mobile phones and MRI machines. This project will explore a newly discovered approach to compressed sensing which uses mathematical arrays known as hash families.