ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the ....ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the core activities of the Network: Researcher Mobility, Workshops and Conferences, Postgraduate Education, and Knowledge Management Systems. The Network is expected to add significant value to pre-existing investments and raise the profile of Australian telecommunications research.Read moreRead less
Phonological effects on the development of inflectional morphology. This project investigates the mechanisms underlying typically developing children's variable omission of inflectional morphemes (for example, plural, past tense). The results will have significant implications for the evaluation and design of interventions for language-delayed populations where serious problems of communication persist.
Involvement of the Human Retinal Endothelial Cell in Blinding Eye Disease. Endothelial cells line the blood vessels of the vascular networks that circulate blood through the tissues. The molecular constitution of each endothelial cell is different and specific to function, but may predispose to tissue-specific disease. Retinal endothelial cells ensure the nutrition and protection of a tissue critical to vision, but are key participants in retinal ischemic, inflammatory and infectious diseases th ....Involvement of the Human Retinal Endothelial Cell in Blinding Eye Disease. Endothelial cells line the blood vessels of the vascular networks that circulate blood through the tissues. The molecular constitution of each endothelial cell is different and specific to function, but may predispose to tissue-specific disease. Retinal endothelial cells ensure the nutrition and protection of a tissue critical to vision, but are key participants in retinal ischemic, inflammatory and infectious diseases that threaten vision. This project will investigate molecular activities of retinal endothelial cells that are relevant to retinal disease processes and explore future biological therapies directed against the human retinal endothelial cell that address efficacy and safety deficiencies of current treatments.Read moreRead less
The relationship between speech production and perception in Australian language speakers: implications for speech development and learning in Aboriginal children. Chronic ear infection blights the life of at least 50% of Aboriginal Australians. In a vicious cycle that extends from generation to generation, it leads to hearing loss, educational disadvantage, socio-economic disadvantage and environmental depredation, which once again leads to ear (and many other) infections. This is a unique atte ....The relationship between speech production and perception in Australian language speakers: implications for speech development and learning in Aboriginal children. Chronic ear infection blights the life of at least 50% of Aboriginal Australians. In a vicious cycle that extends from generation to generation, it leads to hearing loss, educational disadvantage, socio-economic disadvantage and environmental depredation, which once again leads to ear (and many other) infections. This is a unique attempt by researchers across academic disciplines to study the role of language in educational disadvantage and whether this disadvantage might be made worse for Aboriginal children by the early use of English at school. We ask whether, on purely acoustic or linguistic grounds, communicating in an Aboriginal language might offer improved educational and health outcomes for Aboriginal children in the early years.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100211
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
The Big Australian Speech Corpus: An audio-visual speech corpus of Australian English. Contemporary speech science and technology are driven by the availability of large speech corpora. While audio databases exist for languages spoken in America, Europe and Japan, there is currently no large auditory-visual database of spoken language, and certainly not one for Australian English. Here we will establish the Big Australian Speech Corpus, which will support a speech science research and developmen ....The Big Australian Speech Corpus: An audio-visual speech corpus of Australian English. Contemporary speech science and technology are driven by the availability of large speech corpora. While audio databases exist for languages spoken in America, Europe and Japan, there is currently no large auditory-visual database of spoken language, and certainly not one for Australian English. Here we will establish the Big Australian Speech Corpus, which will support a speech science research and development using Australian English and facilitate the development of Australian speech technology applications from automatic speech recognition and text-to-speech synthesis used in taxi and other ordering services, to hearing prostheses and talking head aids for learning-impaired children, and a range of security and forensic applications.Read moreRead less
Bio-MEMS eye sensor for continuous monitoring of intraocular pressure. Glaucoma is a leading cause of preventable blindness, particularly prevalent in the 60+ population, caused by elevated intraocular pressure (IOP). Current treatment to monitor and prevent glaucoma-related blindness is by lowering IOP with eye-drops, laser therapy or surgery. This project directly benefits our aging population by ensuring independence and quality of life, whilst reducing long-term medical and social costs. By ....Bio-MEMS eye sensor for continuous monitoring of intraocular pressure. Glaucoma is a leading cause of preventable blindness, particularly prevalent in the 60+ population, caused by elevated intraocular pressure (IOP). Current treatment to monitor and prevent glaucoma-related blindness is by lowering IOP with eye-drops, laser therapy or surgery. This project directly benefits our aging population by ensuring independence and quality of life, whilst reducing long-term medical and social costs. By incorporating nanotechnology with ophthalmology we will provide an economic solution to long-term, reliable, home-monitoring of IOP. An implantable IOP sensor, will identify patients requiring more invasive treatment compared with those with less aggressive disease, leading to better health resource utilisation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101161
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Compressive sensing based probabilistic graphical models (PGM). The aim of the project is to develop fast, large scale probabilistic graphical models (PGM) learning and inference methods. The resulting system will be able to process large scale PGMs on a standard PC, and will be easily extendable to computer clustering for larger scale PGMs requiring higher precision.
Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop ....Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop fast and scalable data mining methods for identifying causal relationships from large and/or high dimensional data sets. The developed methods will mainly be evaluated in real world biological applications. The research outcomes will be useful in many areas for causal reasoning and decision making.Read moreRead less
Developing novel data mining methods to reveal complex group relationships from heterogeneous data. This project aims to develop novel and effective data mining methods that will enable us to unravel the relationships between multiple, rather than individual, components of complex systems (such as genes, gene regulators and cancer), which is crucial to understanding how such systems work. Potential applications for such methods are extensive.
Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are compl ....Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are complete and noise-free. These weaknesses limit its utility, because real data such as those that must be analysed in processing social networks, fraud detection do not satisfy the restrictions. The aim of this project is to develop theoretical and practical advances in OL that overcome the existing weaknesses.Read moreRead less