Stuttering in childhood: Patterns of recovery and persistence. This project will benefit the 1 in 20 Australian children who stutter and their families. We will learn for the first time how stuttering impacts on child development in the early school years and document the relationship between stuttering and other childhood conditions. The study will produce much needed information about recovery from stuttering and stuttering persistence. Therefore new knowledge will result to inform the scienti ....Stuttering in childhood: Patterns of recovery and persistence. This project will benefit the 1 in 20 Australian children who stutter and their families. We will learn for the first time how stuttering impacts on child development in the early school years and document the relationship between stuttering and other childhood conditions. The study will produce much needed information about recovery from stuttering and stuttering persistence. Therefore new knowledge will result to inform the scientific community and provide professionals and families with much needed evidence-based information about stuttering progression. Together this information will inform intervention approaches and help direct resources to those children who need them most. Read moreRead less
A study of early stuttering. Stuttering affects 1 in 20 Australian children. Stuttering disrupts and prevents normal verbal communication, significantly interferes with social interaction and can affect the attainment of educational and occupational potential. Australia leads the world in stuttering research. This innovative study will document the onset of stuttering and describe its progression, an area that is not well described or understood. This project will contribute new knowledge about ....A study of early stuttering. Stuttering affects 1 in 20 Australian children. Stuttering disrupts and prevents normal verbal communication, significantly interferes with social interaction and can affect the attainment of educational and occupational potential. Australia leads the world in stuttering research. This innovative study will document the onset of stuttering and describe its progression, an area that is not well described or understood. This project will contribute new knowledge about the onset of stuttering thereby benefiting children worldwide and their families. It will inform clinical practice and improve the evidence underpinning the advice given to parents of children who stutter.Read moreRead less
Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of th ....Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of these tests with night driving performance. The outcomes will contribute new knowledge regarding dynamic visual processing and the ageing visual system and will inform vision testing, potential interventions to improve visual function for night driving and reduce the dangers of night driving.Read moreRead less
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
Processing of social communication calls in primate auditory cortex. This research will advance our understanding of the brain mechanisms involved in perception of sound. This will help to understand disorders of speech and hearing following brain damage and may assist in efforts to develop better hearing aids, as well as other speech recognition technologies. In addition, we will develop a primate for studying processing of sound in the brain that will be useful in future research to develop ....Processing of social communication calls in primate auditory cortex. This research will advance our understanding of the brain mechanisms involved in perception of sound. This will help to understand disorders of speech and hearing following brain damage and may assist in efforts to develop better hearing aids, as well as other speech recognition technologies. In addition, we will develop a primate for studying processing of sound in the brain that will be useful in future research to develop improved cochlear implants.Read moreRead less
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
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