Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract. The proposed capsule will provide a solution to the problem of accessing the small intestine for targeted delivery of biomarkers and drugs, and contribute to translational medical research to enhance our understanding of the function of the gut. Successful completion of this project will build on defined priority areas of research strength in Australia (frontier technologies, smart information u ....Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract. The proposed capsule will provide a solution to the problem of accessing the small intestine for targeted delivery of biomarkers and drugs, and contribute to translational medical research to enhance our understanding of the function of the gut. Successful completion of this project will build on defined priority areas of research strength in Australia (frontier technologies, smart information use) and assist in the provision of information critical to the design of novel in vivo endofunctional devices. The technologies to be developed in this project will be translatable to the development of other in vivo functional investigation and treatment devices. Read moreRead less
Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those ....Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc. Read moreRead less
Intelligent Technologies for Smart Cryptography. This project aims to improve cybersecurity by automating the process of generating cryptographic software for smart devices. The expected outcomes are tools that automatically produce efficient cryptographic software that resists attacks. The main benefit of this project is to reduce the amount of expert labour required when developing secure software.
Visual tracking with environmental constraints. By incorporating high level scene understanding into visual tracking, this project will improve the capacity to monitor and analyse complex patterns of activity in video. This has many applications in public safety and security, but the project will demonstrate it on the challenging task of tracking players during an Australian Football League (AFL) game to gather statistics on their performance.
A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword ....A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword search, subgraph isomorphism and substructure query techniques. This project is expected to significantly accelerate the application of new technologies, for example, big data analytics and Internet of Things, in many of Australia's critical domains such as e-Health, smart cities, and cybersecurity.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH170100013
Funder
Australian Research Council
Funding Amount
$2,962,655.00
Summary
ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed device ....ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed devices, analytics and integration platforms. New jobs and improved care will see cost reductions, better use of resources and enhanced mental, physical and social well-being.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100964
Funder
Australian Research Council
Funding Amount
$456,354.00
Summary
Precision Rulers for the Visible - Chip Scale Optical Frequency Combs. This project aims to create a photonic chip technology that generates hundreds of coherent laser lines in the visible spectrum from a single chip for accurate sensing, imaging unknown objects and measuring gas emissions. The project expects to introduce this new capability in the current photonic chip technology, which currently only operates with infrared light. The expected outcomes are inexpensive, stable and energy-effici ....Precision Rulers for the Visible - Chip Scale Optical Frequency Combs. This project aims to create a photonic chip technology that generates hundreds of coherent laser lines in the visible spectrum from a single chip for accurate sensing, imaging unknown objects and measuring gas emissions. The project expects to introduce this new capability in the current photonic chip technology, which currently only operates with infrared light. The expected outcomes are inexpensive, stable and energy-efficient devices the size of a fingernail that will enable measurements with unprecedented accuracies. This should allow these devices to be mounted on drones, satellites, and robots, making them attractive for defence, information security, imaging, autonomous vehicle, and sensing applications.Read moreRead less