Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less
Superior silicon carbide nanoscale sensors (SCANS) for harsh environments. This project aims to demonstrate a large increase in sensitivity, ultra-fast response, and super robust characteristics of nanoscale sensors suitable for harsh environment applications. Sensors in mining, power and aerospace industries must function properly in high temperature, aggressive chemical erosion, and high impact environments. Silicon carbide (SiC) sensors formed using a unique growth process of SiC films on lar ....Superior silicon carbide nanoscale sensors (SCANS) for harsh environments. This project aims to demonstrate a large increase in sensitivity, ultra-fast response, and super robust characteristics of nanoscale sensors suitable for harsh environment applications. Sensors in mining, power and aerospace industries must function properly in high temperature, aggressive chemical erosion, and high impact environments. Silicon carbide (SiC) sensors formed using a unique growth process of SiC films on large-diameter silicon wafers can meet these requirements through nanoscale structures. This project expects to bring direct economic benefits to the resource and manufacturing sectors, creating valuable intellectual property and new jobs for Australians.Read moreRead less
Subband centroids and deep neural networks for robust speech recognition. This project aims to improve the robustness and accuracy of automatic speech and speaker recognition systems. Though these systems work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. To overcome this problem, this project proposes a missing-feature approach for robust speech and speaker recognition. This approach is expected to make th ....Subband centroids and deep neural networks for robust speech recognition. This project aims to improve the robustness and accuracy of automatic speech and speaker recognition systems. Though these systems work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. To overcome this problem, this project proposes a missing-feature approach for robust speech and speaker recognition. This approach is expected to make the speech and speaker recognition systems less sensitive to additive background noise and make them more useful in telecommunications and business.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100266
Funder
Australian Research Council
Funding Amount
$367,446.00
Summary
Granular interfaces for sustainable processing of raw materials. This project aims to develop an innovative interface model and a comprehensive understanding of the interfacial behaviours between granular materials using advanced numerical, experimental and theoretical approaches. This project expects to generate new knowledge of mixing and segregation in particle science and technology and a practical guide to applications. Expected outcomes of this project include the enhanced competitiveness ....Granular interfaces for sustainable processing of raw materials. This project aims to develop an innovative interface model and a comprehensive understanding of the interfacial behaviours between granular materials using advanced numerical, experimental and theoretical approaches. This project expects to generate new knowledge of mixing and segregation in particle science and technology and a practical guide to applications. Expected outcomes of this project include the enhanced competitiveness of Australia and energy efficiency in its important industries such as minerals, metallurgical, chemical, energy and pharmaceutical. These outcomes should provide significant benefits such as mitigated emissions and global warming in a carbon and resource constrained world.Read moreRead less
Bio-electrochemical sulfate reduction and sulfur recovery without external carbon source. Highly acidic waterways and mining wastewaters create major environmental challenges in inland Australia. This project will use novel, solar driven biological processes to remove the acid and metals from these streams and enable beneficial reuse of the water and other resources recovered in the process.
Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the developmen ....Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the development of a cutting-edge technique to develop new intelligent applications in a decentralised and privacy-sensitive scenario. This game-changing research will advance current data mining and artificial intelligence research from centralised intelligence to decentralised intelligence with a collaboration network.Read moreRead less
Quantitative micro-computed tomography for mechanobiological measurement. This project aims to investigate novel measurement approaches for complex cartilage and joint systems by utilising engineering and software design, imaging physics and musculoskeletal biology. Accurate measurement of these living biological systems in action expects to generate new knowledge and a fundamental understanding of their mechanobiological processes. This project will enhance understanding of this complex system ....Quantitative micro-computed tomography for mechanobiological measurement. This project aims to investigate novel measurement approaches for complex cartilage and joint systems by utilising engineering and software design, imaging physics and musculoskeletal biology. Accurate measurement of these living biological systems in action expects to generate new knowledge and a fundamental understanding of their mechanobiological processes. This project will enhance understanding of this complex system and facilitate our capacity to innovate functional solutions in biomedical engineering and biosciences.Read moreRead less
Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will re ....Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will resolve uncertainties in the underlying phenomena. The expected outcome should support future high quality cell cultures suitable for transplantation therapies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100909
Funder
Australian Research Council
Funding Amount
$425,523.00
Summary
3D micro-bioprinting: acoustic actuation to shape single-cell organization. This project aims to develop an innovative cell-printing technology to replicate the microscale cell structure found in native human and animal tissues. This is based on an interdisciplinary concept that combines ultra-high frequency acoustic cell manipulation with 3D stereolithography printing, and will examine acoustic waveguide element design and their topological optimisation. In contrast to current 3D printing metho ....3D micro-bioprinting: acoustic actuation to shape single-cell organization. This project aims to develop an innovative cell-printing technology to replicate the microscale cell structure found in native human and animal tissues. This is based on an interdisciplinary concept that combines ultra-high frequency acoustic cell manipulation with 3D stereolithography printing, and will examine acoustic waveguide element design and their topological optimisation. In contrast to current 3D printing methods that are not suitable for precisely integrating microscale elements in the printing process, this work will open up the range of materials, including functional human tissues, that can be printed.Read moreRead less
Practical model-based control for low emission and low cost diesel engines. Practical model-based control for low emission and low cost diesel engines. This project aims to develop and implement robust multivariable model predictive control algorithms for low emission and low cost diesel engines that reduce calibration effort. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model bas ....Practical model-based control for low emission and low cost diesel engines. Practical model-based control for low emission and low cost diesel engines. This project aims to develop and implement robust multivariable model predictive control algorithms for low emission and low cost diesel engines that reduce calibration effort. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model based techniques to meet performance and emissions specifications. However, current model-based controllers amplify the calibration effort and increase development costs as the tuning parameters are not related to time domain specifications. The anticipated outcome is new model based control architectures that improve diesel engine operation and reduce its calibration effort and cost.Read moreRead less