Novel hybrid silica membranes for desalination. This project aims to produce high flux, highly stable ceramic membranes for use in desalination. This will result in novel, low energy desalination processes, delivering potable water at a greatly reduced cost.
Automatic construction monitoring through semantic information modelling. This project aims to develop computational algorithms and methods for automatic as-built construction monitoring through semantics-based Building Information Modelling (BIM). Construction as–built monitoring is crucial for the cost, time, quality and safety of projects. Methods for generating as-built status are primarily manual. There are gaps in sophistication of automation, and recognition for semantic construction info ....Automatic construction monitoring through semantic information modelling. This project aims to develop computational algorithms and methods for automatic as-built construction monitoring through semantics-based Building Information Modelling (BIM). Construction as–built monitoring is crucial for the cost, time, quality and safety of projects. Methods for generating as-built status are primarily manual. There are gaps in sophistication of automation, and recognition for semantic construction information during the process is low. The project is expected to provide efficient and accurate solutions for as-built construction monitoring.Read moreRead less
Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastruc ....Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastructure and improve quality of life.Read moreRead less
Exploration of lead free ferroelectric crystals for transducer applications. This project aims to investigate lead free crystals, which are expected to possess high piezoelectric properties for medical imaging and underwater acoustics, as an alternative to toxic lead-based ferroelectrics which have been dominantly used in ultrasound transducers. The project will have significant impact on development of new lead-free ferroelectric crystals with desirable properties. This will benefit Australian ....Exploration of lead free ferroelectric crystals for transducer applications. This project aims to investigate lead free crystals, which are expected to possess high piezoelectric properties for medical imaging and underwater acoustics, as an alternative to toxic lead-based ferroelectrics which have been dominantly used in ultrasound transducers. The project will have significant impact on development of new lead-free ferroelectric crystals with desirable properties. This will benefit Australian industry by providing knowledge and technology of crystal growth, enabling advanced ultrasound transducers for medical imaging and underwater acoustic applications.Read moreRead less
Breakthrough technologies in implantable bionics. This project aims to introduce revolutionary changes in implantable bionics via miniaturisation, automation and improved reliability and generating new knowledge by leveraging recent advances in laser processes. Expected outcomes include innovative hybrid thin-film/thick-film electrode arrays with more channels and charge-carrying capacity for neuromodulation; novel glass interfaces that facilitate deeply-miniaturised hermetic packages; and failu ....Breakthrough technologies in implantable bionics. This project aims to introduce revolutionary changes in implantable bionics via miniaturisation, automation and improved reliability and generating new knowledge by leveraging recent advances in laser processes. Expected outcomes include innovative hybrid thin-film/thick-film electrode arrays with more channels and charge-carrying capacity for neuromodulation; novel glass interfaces that facilitate deeply-miniaturised hermetic packages; and failure analysis to ensure study aims result in new processes that are as or more reliable than the current state-of-the-art. This work will create new and novel manufacturing processes, and trains the next generation of innovators equipped with the tools to advance implantable bionics into the future.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101687
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Nanostructure Tailoring of Inorganic Membranes by Rapid Thermal Processing. This project aims to produce inorganic membranes with desired nanostructures using a Rapid Thermal Processing (RTP) technique for gas separation applications. The key concept of the research is that the RTP will be able to achieve thin-film membrane layer with a finer microstructure and pore size control without heat stress-induced cracking. RTP aims to deliver superior membrane performance with less than 10 per cent of ....Nanostructure Tailoring of Inorganic Membranes by Rapid Thermal Processing. This project aims to produce inorganic membranes with desired nanostructures using a Rapid Thermal Processing (RTP) technique for gas separation applications. The key concept of the research is that the RTP will be able to achieve thin-film membrane layer with a finer microstructure and pore size control without heat stress-induced cracking. RTP aims to deliver superior membrane performance with less than 10 per cent of the fabrication time compared to normal slow calcination. The outcomes of this new technology aims to make inorganic membranes a commercial reality and maximize the membrane manufacturing capability and productivity of petrochemcial, chemical and clean coal/energy industries.Read moreRead less
Investigating the Pumpability and Extrudability of Concrete for 3D Printing. The project aims to develop a new rheological model for 3D printable concrete for construction. 3D concrete printing is an innovative and promising construction technique, but the main impediment to progress is lack of suitable material technology. In this study, a new stress and time dependent flow model will be formulated and implemented as a computational model. The model will facilitate the study of the effect of di ....Investigating the Pumpability and Extrudability of Concrete for 3D Printing. The project aims to develop a new rheological model for 3D printable concrete for construction. 3D concrete printing is an innovative and promising construction technique, but the main impediment to progress is lack of suitable material technology. In this study, a new stress and time dependent flow model will be formulated and implemented as a computational model. The model will facilitate the study of the effect of different concrete formulations, pumping and printer parameters on the primary printing properties, namely, pumpability, extrudability and buildability. The new model will also enable active control and modification of rheological parameters on-the-fly during large-scale printing, which is not currently possible.Read moreRead less
Speech recognition adaptation for low resource populations. Automatic speech recognition is an essential attribute of mobile devices and consumer electronics. Unfortunately, as these systems are trained with adult speech, they perform poorly when used by children and people with speaking difficulties. The lack of available training speech from these groups makes developing models for them difficult. We will investigate efficient model adaptation methods that use minimal training data to adapt ex ....Speech recognition adaptation for low resource populations. Automatic speech recognition is an essential attribute of mobile devices and consumer electronics. Unfortunately, as these systems are trained with adult speech, they perform poorly when used by children and people with speaking difficulties. The lack of available training speech from these groups makes developing models for them difficult. We will investigate efficient model adaptation methods that use minimal training data to adapt existing adult speech recognition models for use with children and people with speaking difficulties. The intended outcomes will improve access to automatic speech recognition systems for Australians whose communication with speech-controlled environmental and educational devices is currently restricted.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100086
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Electro-mechanical behaviours of carbon nanotube composite structures. This project aims to investigate the electro-mechanical behaviours of carbon nanotube reinforced polymer composite structures. Such structures demonstrate considerable potential in structural health monitoring and strengthening due to their unique electro-mechanical behaviours. However, the electro-mechanical behaviours of these composites remain unclear due to the multiscale nature of the problems and the constraint of curre ....Electro-mechanical behaviours of carbon nanotube composite structures. This project aims to investigate the electro-mechanical behaviours of carbon nanotube reinforced polymer composite structures. Such structures demonstrate considerable potential in structural health monitoring and strengthening due to their unique electro-mechanical behaviours. However, the electro-mechanical behaviours of these composites remain unclear due to the multiscale nature of the problems and the constraint of current techniques to capture nanoscale features that underpin the macroscopic behaviours. This project aims to investigate the electro-mechanical behaviours of these composites and their structures via atomistic simulation and continuum mechanics modelling. The outcomes are intended to enhance the application of these multifunctional composites and improve the performances and sustainability of engineering structures.Read moreRead less
Biosolid flow, separation and activity in anaerobic lagoons. This project aims to develop a fundamental model of the complex, non-steady state flow behaviour in anaerobic lagoons. The project will develop new operating procedures and designs for large municipal, industrial and agricultural anaerobic lagoons. This will improve the efficiency of anaerobic digestion and reduce wastewater treatment costs, as well as increase renewable and sustainable biogas production. The intended outcome is a va ....Biosolid flow, separation and activity in anaerobic lagoons. This project aims to develop a fundamental model of the complex, non-steady state flow behaviour in anaerobic lagoons. The project will develop new operating procedures and designs for large municipal, industrial and agricultural anaerobic lagoons. This will improve the efficiency of anaerobic digestion and reduce wastewater treatment costs, as well as increase renewable and sustainable biogas production. The intended outcome is a validated 3D model that captures the physical and biological complexities of anaerobic lagoons. This will impact the design and operation of partner organisation lagoons, reducing capital and operating costs and improving biogas production.Read moreRead less