Presenting graphics to blind students using a touchscreen interface extended with haptic and audio feedback. The project will develop a new device for the presentation of accessible graphics based on a touchscreen computer extended with haptic and audio feedback. The aim is to improve access to graphics and other two-dimensional information in the classroom by blind students.
Enhancing patient management at point of care using electronic-based clinical pathways. Clinical pathways have been adopted by most Australian hospitals and the development of a 'proof of concept' digitised clinical pathways management system (DCPMS) would provide significant benefits to the Australian healthcare system in improving the efficiency of this approach. These include improved outcomes of care arising from a better match of patient requirements to nursing care and other health resour ....Enhancing patient management at point of care using electronic-based clinical pathways. Clinical pathways have been adopted by most Australian hospitals and the development of a 'proof of concept' digitised clinical pathways management system (DCPMS) would provide significant benefits to the Australian healthcare system in improving the efficiency of this approach. These include improved outcomes of care arising from a better match of patient requirements to nursing care and other health resources and better management of resources where savings can be re-directed into front-line patient care. This Australian innovation can then be exported to international health systems that are increasingly turning to hospital funding models that utilise clinical pathway information.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100924
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Integrated Interconnects in Data Centres and High-Performance Computing. High-speed interconnects are needed to link, transmit, retrieve, and process intensive data in a time- and energy-efficient and cost-effective manner in data centres and high-performance computing. This project aims to investigate high-speed, integrated interconnects, including novel integrated devices and transceivers on silicon platforms, flexible subsystems and overall system architecture. The research outcomes will be b ....Integrated Interconnects in Data Centres and High-Performance Computing. High-speed interconnects are needed to link, transmit, retrieve, and process intensive data in a time- and energy-efficient and cost-effective manner in data centres and high-performance computing. This project aims to investigate high-speed, integrated interconnects, including novel integrated devices and transceivers on silicon platforms, flexible subsystems and overall system architecture. The research outcomes will be beneficial to a number of industries including integrated chip and circuit design and fabrication, integrated systems, and network infrastructures, and will enable faster platforms for cloud computing, sensing, signal processing, and computational health.Read moreRead less
Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolut ....Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolution algorithms, and cooperative co-evolutionary strategies. The outcome results will be demonstrated by practical evaluations over public datasets and comparisons to related works. The project is beneficial to the nation in both theory of artificial intelligence techniques and applications of real transport systems.Read moreRead less
Rapid point-of-care detection of genomic variations for personalised medicine. Selecting treatment based on a person’s genetic profile can improve drug safety and efficacy, but the application is hampered by the inconvenience, slow result turnaround and high cost of current lab-based tests. Full implementation of personalised medicine in clinical practice requires a point-of-care testing system. This project aims to overcome the challenges involved in developing such a system by validating novel ....Rapid point-of-care detection of genomic variations for personalised medicine. Selecting treatment based on a person’s genetic profile can improve drug safety and efficacy, but the application is hampered by the inconvenience, slow result turnaround and high cost of current lab-based tests. Full implementation of personalised medicine in clinical practice requires a point-of-care testing system. This project aims to overcome the challenges involved in developing such a system by validating novel rapid genotyping methods and developing ultrasensitive real-time DNA detection that will be integrated on a single chip platform to facilitate a small, low cost and reliable test device. The technology will be readily adaptable to areas where prompt access to genomic information is valuable, such as disease diagnosis and risk prediction.Read moreRead less
A novel platform-technology for long-term subcutaneous neurophysiology. This project aims to develop a novel miniature device for subcutaneous and tetherless brain sensing. It addresses the lack of a device solution for brain-sensing that combines ultra-long-term reliable sensing capability and small dimensions for minimally-invasive procedures. We achieve this through our novel electrode architecture that significantly enhances the quality and reliability of recorded brain signals. We introduce ....A novel platform-technology for long-term subcutaneous neurophysiology. This project aims to develop a novel miniature device for subcutaneous and tetherless brain sensing. It addresses the lack of a device solution for brain-sensing that combines ultra-long-term reliable sensing capability and small dimensions for minimally-invasive procedures. We achieve this through our novel electrode architecture that significantly enhances the quality and reliability of recorded brain signals. We introduce a platform technology designed for subscalp anatomy with future use in various brain-machine interfacing applications relying on reliable, long-term and easy-to-implant systems. This project's device manufacturing, training, and intellectual property are expected to strengthen Australia's position in bioelectronics.Read moreRead less
A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less
Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given comp ....Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given computational budget. Expected outcomes of this project include efficient, effective and broadly applicable time series classification technologies. This should provide significant benefits to myriad sectors, transforming data science for time series problems and supporting innovation in industry, commerce and government.Read moreRead less
Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game ....Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game theory, this project tackles the new challenges in the placement, update and adaptation of edge data faced by software vendors embracing 5G. The outcomes can ease software vendors' cost and security concerns during the transition from 4G to 5G, and significantly promote the wave of 5G innovation in Australia.Read moreRead less