Cellular and network basis of information processing in the mammalian visual system. The project aims to discover the strategies by which cells in the brain interact with each other to code the sensory input efficiently. It is expected that simultaneous recording of the activity of many neurones from the visual cortex of anaesthetised cats during visual stimulation will reveal how the biophysics of synaptic integration combined with excitatory and inhibitory inputs from different sources sculpt ....Cellular and network basis of information processing in the mammalian visual system. The project aims to discover the strategies by which cells in the brain interact with each other to code the sensory input efficiently. It is expected that simultaneous recording of the activity of many neurones from the visual cortex of anaesthetised cats during visual stimulation will reveal how the biophysics of synaptic integration combined with excitatory and inhibitory inputs from different sources sculpts the output of individual neurones. The experiments will be extended to the study of possible interactions between different areas of the brain and the study of mechanisms by which the cortical network and higher cognitive factors such as attention and memory might influence the coding of sensory information in awake animals.Read moreRead less
Bioinspired tuneable catalysts for renewable ammonia production. The project will design a new solar-powered system for electrosynthesis of ammonia to replace the current energy intensive, non-sustainable process that generates 1.5% of global CO2 emissions. An innovative new system will be developed by combining cutting edge electrochemical, spectroscopic and theoretical methods. Expected key outcomes include novel concepts in the design of advanced materials, and an efficient process for the gr ....Bioinspired tuneable catalysts for renewable ammonia production. The project will design a new solar-powered system for electrosynthesis of ammonia to replace the current energy intensive, non-sustainable process that generates 1.5% of global CO2 emissions. An innovative new system will be developed by combining cutting edge electrochemical, spectroscopic and theoretical methods. Expected key outcomes include novel concepts in the design of advanced materials, and an efficient process for the green ammonia synthesis. Given the strategic importance of ammonia as a future energy carrier for the export of Australian renewables and as a major source of fertilisers, this project should provide significant national economic and ecological benefits and is expected to have a broad reaching global impact.Read moreRead less
Increasing solid electrolyte conductivity through defect design. This project aims to engineer electrolyte materials, based on organic ionic plastic crystals, and use isomeric doping to improve the ionic conductivity. The development of safer batteries relies on eliminating the volatile and flammable solvents commonly used as the electrolyte. Improving the safety and performance of batteries is important as electricity costs increase. Solid state ionic electrolytes can address leakage and volati ....Increasing solid electrolyte conductivity through defect design. This project aims to engineer electrolyte materials, based on organic ionic plastic crystals, and use isomeric doping to improve the ionic conductivity. The development of safer batteries relies on eliminating the volatile and flammable solvents commonly used as the electrolyte. Improving the safety and performance of batteries is important as electricity costs increase. Solid state ionic electrolytes can address leakage and volatility problems, but the conductivity must be improved if these materials are to support high battery power. The project’s electrolyte materials can be used in lithium metal batteries, which have higher theoretical energy densities than traditional lithium ion batteries. This project will develop new solid state electrolytes, with improved conductivity, and use these materials in emerging lithium battery technologies.Read moreRead less
Generating multi-component scaffolding to influence the differentiation of embryonic stem cells. Nervous system diseases are debilitating and will develop in over 50 per cent of people at some time in their life. This project will develop strategies so that stem cells can be utilised to encourage brain repair for the treatment of Parkinson's disease. The technology developed will also be of benefit for the treatment of other nervous system disorders.
Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. ....Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. Evaluation will be via development of several exemplar applications. The techniques and framework will be applicable to a broad range of economically important problems in areas as diverse as health, travel, scientific publication search, product marketing and software engineering.Read moreRead less
Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to devel ....Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to develop new ways designing bio-cryptosystems that provide strong security strength. The project will bring new body of knowledge into this field and place Australia in the forefront of this research, and also result in strengthened security of IT infrastructure and systems for industries.Read moreRead less
On effectively modelling and efficiently discovering communities from large networks. Finding and maintaining close communities from very large scale, dynamically changing networks is interesting and challenging. This project aims to develop new techniques to identify such communities as fast as possible through exploiting the rich semantics and individual relationships within the communities.
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less
Adaptive modelling of human responses in complex interaction. This project aims to combine strengths of human cognition and evolutionary computing to efficiently solve problems which neither can do alone. The project will develop techniques combining advanced non-intrusive sensor measures of behaviour and emotional reaction in interaction tasks to enable high level computer support for human goal seeking, in complex data and design environments. This project will allow non-expert users to use to ....Adaptive modelling of human responses in complex interaction. This project aims to combine strengths of human cognition and evolutionary computing to efficiently solve problems which neither can do alone. The project will develop techniques combining advanced non-intrusive sensor measures of behaviour and emotional reaction in interaction tasks to enable high level computer support for human goal seeking, in complex data and design environments. This project will allow non-expert users to use tools normally requiring extensive training in settings where the user can 'see' when they get something they like but do not know how to instruct a computer system to show or do it. Applications of the project will include visualisation for bespoke manufacturing or for high dimensional data, generating abstract art, or improving teleconferencing systems.Read moreRead less
Towards an event based model of combustion generated sound. This proposal will develop new tools for predicting combustion generated sound. Since combustion noise often limits system performance, these new tools could be used to significantly reduce emissions of greenhouse gases and other pollutants from power generation and transportation.