Discovery Early Career Researcher Award - Grant ID: DE240100200
Funder
Australian Research Council
Funding Amount
$428,847.00
Summary
Cohesive Multipartite Subgraph Discovery in Large Heterogeneous Networks. This project aims to devise novel cohesive multipartite subgraph models and corresponding efficient search algorithms based on various applications. Significant advances in understanding big data will be enabled by the proposed novel theories and algorithms, which can leverage the value of heterogeneous network data and serve as the foundation of network analytics. Expected outcomes of this project include novel cohesive m ....Cohesive Multipartite Subgraph Discovery in Large Heterogeneous Networks. This project aims to devise novel cohesive multipartite subgraph models and corresponding efficient search algorithms based on various applications. Significant advances in understanding big data will be enabled by the proposed novel theories and algorithms, which can leverage the value of heterogeneous network data and serve as the foundation of network analytics. Expected outcomes of this project include novel cohesive multipartite subgraph models, efficient searching algorithms and platforms for heterogeneous networks. This should provide significant benefits for different organisations and a myriad of applications dealing with heterogeneous network data, including but not limited to e-commerce, cybersecurity, health and social networks.Read moreRead less
New Graph Mining Technologies to Enable Timely Exploration of Social Events. This project aims to develop scalable and effective graph mining techniques for the timely exploration of social events that are the hottest happenings in online information networks. The research will primarily exploit the complex network structures and non-structural properties of streaming social data to report what is happening in a timely fashion. This project will lay the theoretical foundations of this emerging f ....New Graph Mining Technologies to Enable Timely Exploration of Social Events. This project aims to develop scalable and effective graph mining techniques for the timely exploration of social events that are the hottest happenings in online information networks. The research will primarily exploit the complex network structures and non-structural properties of streaming social data to report what is happening in a timely fashion. This project will lay the theoretical foundations of this emerging field to strengthen Australia’s world leadership role in data science. Practically, the novel theories and data analytics technologies developed will benefit the Australian economy and society by monitoring emergencies, tracking prevailing sentiments, and spotting investment opportunities through timely event responses.Read moreRead less
Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a n ....Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a new data management and processing foundation for big video data analytics.Read moreRead less
ONLINE HEALTH CARE SYSTEM TO PROVIDE SPECIALIST CARE TO RURAL, REMOTE AND UNDESERVED REGIONS
Funder
National Health and Medical Research Council
Funding Amount
$360,475.00
Summary
Our aim is to develop and validate an online health care system to link remote and rural health professionals, facilities and patients into an online community. The proposed online system will provide medical advice and diagnosis, consumer health care information services, support groups, information and distance education for those working in the health care as well as the community and assistance in the operational and medical decision-making process. Less expensive health care personnel shoul ....Our aim is to develop and validate an online health care system to link remote and rural health professionals, facilities and patients into an online community. The proposed online system will provide medical advice and diagnosis, consumer health care information services, support groups, information and distance education for those working in the health care as well as the community and assistance in the operational and medical decision-making process. Less expensive health care personnel should be able to use the system with little training in remote and rural areas. This project will generate knowledge about the practicality of low cost but highly effective e-health system. It will be easier to disseminate health care information and health evaluation processes to patients, doctors, nurses and other health care workers. It will also be possible to obtain information about image resolution, suitable compression algorithms and compression levels for different diseases pathologies.Read moreRead less
3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environmen ....3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environments and open up new possibilities for applications in fields such as virtual reality, architecture, and city planning. The proposed 3D diffusion models will also enhance the accuracy of computer vision tasks related to 3D scene understanding, such as object detection, tracking, and semantic segmentation.Read moreRead less
Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop ....Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop efficient privacy preserving algorithms to deal with static and dynamic network data sharing. The success of this project will benefit many industries and government agencies to reduce users’ privacy breaches, avoid illegal consequences of sharing data, and enhance these service providers’ service quality.Read moreRead less
Investigation of a Dynamic Collaborative Framework for Multi-Modal Devices. Modern business and society increasingly call for agility through the rapid formation of groups and collaboration of individuals. Mobile computing devices have the potential to enable this collaboration. However this is currently unrealised; software is not keeping up with hardware. This project aims to investigate techniques and software tools to provide an adaptive framework for multimedia-rich applications, which seam ....Investigation of a Dynamic Collaborative Framework for Multi-Modal Devices. Modern business and society increasingly call for agility through the rapid formation of groups and collaboration of individuals. Mobile computing devices have the potential to enable this collaboration. However this is currently unrealised; software is not keeping up with hardware. This project aims to investigate techniques and software tools to provide an adaptive framework for multimedia-rich applications, which seamlessly support collaboration through multi-modal communications between heterogenous mobile devices. This combination of multimedia, smart devices and advanced communications has the potential to revolutionise many key industries by making information available and manipulable in new and better ways.Read moreRead less
Improving Extensible Markup Language (XML) data quality using XML integrity constraints. The first benefit of the project will be the of development a new technology that will improve the data quality in Australian organizations using the rapidly growing Extensible Markup Language (XML) technology. It will also be of benefit to the Australian software industry, since the outcome of the project is a software tool for cleaning XML data that is aimed at eventual commercialisation in a quickly gro ....Improving Extensible Markup Language (XML) data quality using XML integrity constraints. The first benefit of the project will be the of development a new technology that will improve the data quality in Australian organizations using the rapidly growing Extensible Markup Language (XML) technology. It will also be of benefit to the Australian software industry, since the outcome of the project is a software tool for cleaning XML data that is aimed at eventual commercialisation in a quickly growing area of the software market. The project will also boost international research collaboration through the involvement of an overseas partner investigator, and expand Australia's expertise in the new area of XML technology through the training of a Ph.D. student.Read moreRead less
Mobile Query Processing: An Integrated Approach. Mobile communication is a frontier technology, and providing efficient mobile query services to the general public is critical in placing Australia as a leading country in mobile information services. The benefit to Australia nationally is beyond the telecommunication industry. The project will transform other Australian industries which rely on mobile information services, including emergency response services (eg. ambulance, police), mobile work ....Mobile Query Processing: An Integrated Approach. Mobile communication is a frontier technology, and providing efficient mobile query services to the general public is critical in placing Australia as a leading country in mobile information services. The benefit to Australia nationally is beyond the telecommunication industry. The project will transform other Australian industries which rely on mobile information services, including emergency response services (eg. ambulance, police), mobile workforce and mobile commerce, transportation/traffic controller, bureau of meteorology, defence/army forces, financial market, as well as tourism and news. With the enormous growing of investment in these industries, this project will become a major contribution to national productivity and growth.Read moreRead less
Gesture-controlled interaction to enrich information access. This project is a study of gestural computing (enabled by sensors such as pressure mats, infra-red sensors and video tracking) which aims to move away from desk-bound, restrictive computing environments and towards computing that is more integral to the building structure and space itself. Linking gesture controllers and information sonification delivers a unique bridge between data and human interaction. Enriching the capacity to acce ....Gesture-controlled interaction to enrich information access. This project is a study of gestural computing (enabled by sensors such as pressure mats, infra-red sensors and video tracking) which aims to move away from desk-bound, restrictive computing environments and towards computing that is more integral to the building structure and space itself. Linking gesture controllers and information sonification delivers a unique bridge between data and human interaction. Enriching the capacity to access information in dense workplace environments is central to improved efficiency across the Australian workforce. Greater accuracy and enhanced techniques for controlling information in visually-overloaded work environments contribute to Australia's competitive leadership in a global marketplace.Read moreRead less