Neuroimage as biomechanical model: new real-time computational biomechanics of the brain. This project is to extend to medicine the success computational mechanics has enjoyed in traditional engineering. The project will create enabling modelling and computing technologies for Computer-Integrated Surgery Systems that could help to improve clinical outcomes and the efficiency of health care delivery.
Development of a three dimensional audio-visual next generation speech recognition system. To overcome the disadvantages of current Audio-Visual Speech Recognition Systems, we propose a set of robust algorithms in three dimensional computer vision and speech processing. The proposed system will have far-reaching implications in various areas, for example, human-machine interaction for speech recognition in automated dialog systems and voice-to-text conversions.
Mass transport in high entropy alloys. This project aims to understand mass transport in high entropy alloys. Alloys of 5 to 13 components have technologically attractive mechanical properties. A knowledge of mass transport could control their stabilities and optimise their properties. This project will develop an atomistic theory and a phenomenological method for rapidly performing experiments, and experiment on two key high entropy alloys. The outcome of this research will be an in-depth under ....Mass transport in high entropy alloys. This project aims to understand mass transport in high entropy alloys. Alloys of 5 to 13 components have technologically attractive mechanical properties. A knowledge of mass transport could control their stabilities and optimise their properties. This project will develop an atomistic theory and a phenomenological method for rapidly performing experiments, and experiment on two key high entropy alloys. The outcome of this research will be an in-depth understanding of mass transport that is expected to fast-track these alloys to commercial uptake.Read moreRead less
A neural fuzzy fusion engine for human-machine autonomous systems. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS). The project will develop new techniques to detect covert-state drift, model trustworthiness between humans and machines, and adaptively fuse information under various kinds of uncertainty and trust levels. These techniques will be integrated to produce a general fra ....A neural fuzzy fusion engine for human-machine autonomous systems. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS). The project will develop new techniques to detect covert-state drift, model trustworthiness between humans and machines, and adaptively fuse information under various kinds of uncertainty and trust levels. These techniques will be integrated to produce a general framework to facilitate human-machine interaction and enable better collaborative decisions in HMAS. The outcomes will benefit human-centric automation systems in general and next-generation autonomous vehicles in particular, which will contribute to the Australian economy.Read moreRead less
Microstructural-Functional Effect of Silver Diammine Fluoride on Apatites. This project aims to develop a fundamental understanding at the nanostructural level of the factors that contribute to the enhanced mineralisation and mechanical properties of dentine and enamel following the treatment with silver diammine fluoride (SDF). A variety of advanced nanomechanical, tomographic and microscopic techniques will be used to characterise sound, carious and SDF treated tissue. The new biomechanical ev ....Microstructural-Functional Effect of Silver Diammine Fluoride on Apatites. This project aims to develop a fundamental understanding at the nanostructural level of the factors that contribute to the enhanced mineralisation and mechanical properties of dentine and enamel following the treatment with silver diammine fluoride (SDF). A variety of advanced nanomechanical, tomographic and microscopic techniques will be used to characterise sound, carious and SDF treated tissue. The new biomechanical evidence on the underlying mechanisms, alternative protocols, delivery systems enable to optimise the treatment. The scientific insights into arresting/repairing damage processes will provide critical data for developing minimal intervention protocols for pediatric and geriatric populations.Read moreRead less
Novel multiscale fibre composites for cryogenic space technologies. This project aims to develop new composite materials technologies for cryogenic space applications. Multifunctional nanomaterials with negative thermal expansion properties will be developed to simultaneously reduce thermal stress and improve fracture toughness, suppressing microcracking of fibre composites observed in current materials at cryogenic temperatures. New interleaves will be developed to act as gas barriers and provi ....Novel multiscale fibre composites for cryogenic space technologies. This project aims to develop new composite materials technologies for cryogenic space applications. Multifunctional nanomaterials with negative thermal expansion properties will be developed to simultaneously reduce thermal stress and improve fracture toughness, suppressing microcracking of fibre composites observed in current materials at cryogenic temperatures. New interleaves will be developed to act as gas barriers and provide strength. The composites will provide a new lightweight solution for storing cryogenic propellants such as liquid hydrogen and oxygen, for the next generation re-usable spacecraft. The outcomes of this project will enable Australian companies to produce and export specialised, high-performance composite products.Read moreRead less
Topological Design of Mechanical Meta-Structures. This project aims to establish a new computational design methodology to address current challenges facing creation of ultralight structures with ultra-high-performance characteristics. The latest technologies in structural topology optimization and its correlated numerical simulation and structural analysis methods will be unified towards an integrated design framework. Expected outcomes include an advanced generative design platform for discove ....Topological Design of Mechanical Meta-Structures. This project aims to establish a new computational design methodology to address current challenges facing creation of ultralight structures with ultra-high-performance characteristics. The latest technologies in structural topology optimization and its correlated numerical simulation and structural analysis methods will be unified towards an integrated design framework. Expected outcomes include an advanced generative design platform for discovering novel geometries to underpin new meta-structure architectures, validated by appropriate fabrication techniques considering their geometric complexity. Such capabilities will benefit defence, civil, aerospace, energy and transport industries that pursue competitive advantage through innovation.Read moreRead less
Novel quantitative sizing of inaccessible and hard-to-inspect defects to address the challenges posed by innovations in airframe design. Modern unitised aircraft structures cannot be reliably inspected using traditional techniques. This project will develop new techniques to quantify defects required for this innovation in aircraft component design. This research will improve the through-life support of future metallic and composite aircraft structures and improve air safety.
Biotransport design for engineering microenvironment in scaffolds. Tissue engineering signifies an exciting opportunity to solve shortage of transplantable tissues. This project targets a critical issue in engineering thick tissue and aims to introduce computational structural optimisation to biotransport problems. The optimal scaffold is expected to create a more desirable microenvironment for better tissue growth.
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less