Individualisation for 3D Audio. The project aim is to allow the general listener to enjoy high-fidelity 3-D sound over headphones. Such 3-D audio is of paramount importance when inter-personal communication requires situational awareness, (eg search and rescue, fire-fighting, and air traffic control). To achieve this, the project aims to address one of the toughest problems in audio signal processing: deriving high-fidelity 3-D audio headphone filters from photos and/or 3D scans of ears. The pro ....Individualisation for 3D Audio. The project aim is to allow the general listener to enjoy high-fidelity 3-D sound over headphones. Such 3-D audio is of paramount importance when inter-personal communication requires situational awareness, (eg search and rescue, fire-fighting, and air traffic control). To achieve this, the project aims to address one of the toughest problems in audio signal processing: deriving high-fidelity 3-D audio headphone filters from photos and/or 3D scans of ears. The project plans to address fundamental research questions in statistical shape and data analysis and to perceptually evaluate the 3-D audio methods developed.Read moreRead less
Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge ....Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge for the advancement of microfluidic technologies. The outcomes of this project will establish physical principles to guide the design of microfluidic systems and provide the computational capabilities that can potentially transform the way researchers and engineers design, optimise and use microfluidic technologies.Read moreRead less
Supercritical-microfluidics technology for targeted delivery to the colon. This research will develop nanosystems to target delivery of drugs to the colon. Our nanosystems will permit the combination of clinically used chemotherapy drugs within a single dosage form. This will improve the efficiency of delivery to the colon while reducing unwanted side-effects. A novel supercritical microfluidics system will be developed to produce therapeutic nano-carriers in a continuous mode with lower labour ....Supercritical-microfluidics technology for targeted delivery to the colon. This research will develop nanosystems to target delivery of drugs to the colon. Our nanosystems will permit the combination of clinically used chemotherapy drugs within a single dosage form. This will improve the efficiency of delivery to the colon while reducing unwanted side-effects. A novel supercritical microfluidics system will be developed to produce therapeutic nano-carriers in a continuous mode with lower labour requirement, higher production rate and better quality control than conventional production methods. The new process will combine benefits from both supercritical fluid technology (green process) and microfluidics (high mass & heat transfer).Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100084
Funder
Australian Research Council
Funding Amount
$269,020.00
Summary
Flexible Flame Aerosol Synthesis Technology. Funding is requested to establish a world-leading fabrication facility for nanostructured materials via flame synthesis. This is a scalable fabrication route used for industrial production of most nanoparticle commodities. The aim is to advance current capabilities by providing control over the reaction environment and flame reaction sources. This will extend the range of feasible materials from the current metal oxides to a broad family of nitrides, ....Flexible Flame Aerosol Synthesis Technology. Funding is requested to establish a world-leading fabrication facility for nanostructured materials via flame synthesis. This is a scalable fabrication route used for industrial production of most nanoparticle commodities. The aim is to advance current capabilities by providing control over the reaction environment and flame reaction sources. This will extend the range of feasible materials from the current metal oxides to a broad family of nitrides, sulphides, and metal-organic frameworks, enabling the engineering of electrocatalysts, optoelectronic- and bio-materials. Benefits are expected in terms of fundamental and applied knowledge generation, with impact to the Australian industry sectors of Advanced Manufacturing, Energy and Health.Read moreRead less
A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less
An anti-senescence nanoplatform and its underlying mechanism. The project will bring together complementary expertise and skills by combining biomaterials, cell and molecular biology, and engineering, to develop a novel nano-biomaterial platform for anti-senescence and gain an in-depth understanding of its underlying mechanisms. The underlying mechanisms of senescence remain elusive and bone substitutes with anti-senescence property have not been explored and becoming a growing field of interest ....An anti-senescence nanoplatform and its underlying mechanism. The project will bring together complementary expertise and skills by combining biomaterials, cell and molecular biology, and engineering, to develop a novel nano-biomaterial platform for anti-senescence and gain an in-depth understanding of its underlying mechanisms. The underlying mechanisms of senescence remain elusive and bone substitutes with anti-senescence property have not been explored and becoming a growing field of interest in bone regeneration. The project will develop a well-defined and efficient nanomaterial platform with optimal combination of nano-surface features and chemistry for cell rejuvenation, and it will give unprecedented depth of interdisciplinary understanding of senescence rejuvenation mechanisms.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101623
Funder
Australian Research Council
Funding Amount
$456,450.00
Summary
High-Fidelity Motion Simulator using Sickness-Free Motion Cueing Algorithm. This project aims to address the key deficiencies of driving and flight simulators by developing novel human perception-based motion cueing algorithms (MCAs) and leveraging advanced artificial intelligence techniques. Despite widespread applications, existing motion simulators fail to deliver the most accurate human sensation to the user. This failure is mainly attributable to the inefficiency and inflexibility of MCAs u ....High-Fidelity Motion Simulator using Sickness-Free Motion Cueing Algorithm. This project aims to address the key deficiencies of driving and flight simulators by developing novel human perception-based motion cueing algorithms (MCAs) and leveraging advanced artificial intelligence techniques. Despite widespread applications, existing motion simulators fail to deliver the most accurate human sensation to the user. This failure is mainly attributable to the inefficiency and inflexibility of MCAs used by simulators. It is expected that this project will significantly increase simulator motion fidelity and eliminate motion sickness. This will have substantial benefits to Australian research communities and industries, particularly where simulators are used for training, performance evaluation and virtual prototyping.Read moreRead less
Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised e ....Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised effects of brain stimulation on the ageing brain. The outcomes of this research could significantly improve understanding of brain ageing, and advance the fields of systems neuroscience, network science, and brain stimulation.Read moreRead less
The role of non-visual cues in regulating perception and skilled movement. This project aims to investigate the impact of non-visual sensory information on what we see and how we move. The project intends to enhance understandings of how information from our senses is combined and how this might inform the development of simulators which are increasingly used as tools for training. Expected outcomes include methods for optimising the design of simulator technologies used in a wide range of medic ....The role of non-visual cues in regulating perception and skilled movement. This project aims to investigate the impact of non-visual sensory information on what we see and how we move. The project intends to enhance understandings of how information from our senses is combined and how this might inform the development of simulators which are increasingly used as tools for training. Expected outcomes include methods for optimising the design of simulator technologies used in a wide range of medical, military and industrial training applications.Read moreRead less
The sensory prerequisites of effective simulator-based pilot training. This Project aims to investigate the use of head-mounted virtual reality systems for training, with specific focus on the aviation industry. The Project expects to improve our understanding of how pilots combine information from their sensory systems in order to successfully operate an aircraft. Expected outcomes include methods for specifying the optimal design of simulators intended to prepare pilots for a specific task, wi ....The sensory prerequisites of effective simulator-based pilot training. This Project aims to investigate the use of head-mounted virtual reality systems for training, with specific focus on the aviation industry. The Project expects to improve our understanding of how pilots combine information from their sensory systems in order to successfully operate an aircraft. Expected outcomes include methods for specifying the optimal design of simulators intended to prepare pilots for a specific task, with the ultimate goal of developing and validating a prototype training device. The outcomes are expected to benefit many areas of pilot training by improving the design and optimising the cost of simulator technologies at a time when the aviation industry is struggling to meet the global demand for new pilots.Read moreRead less