Engineering of anti-platelet antibodies for the diagnosis and therapy of infants with bleeding disorders. Foeto-maternal alloimmune thrombocytopenia (FMAIT) is a serious clinical condition where infants suffer potentially fatal bleeding disorders from 14 weeks gestation to 1-2 weeks post delivery. The cause of the disease is through maternal antibodies destroying foetal platelets. Our aim is to produce human antibodies, which will be used as diagnostic agents to screen for the condition in preg ....Engineering of anti-platelet antibodies for the diagnosis and therapy of infants with bleeding disorders. Foeto-maternal alloimmune thrombocytopenia (FMAIT) is a serious clinical condition where infants suffer potentially fatal bleeding disorders from 14 weeks gestation to 1-2 weeks post delivery. The cause of the disease is through maternal antibodies destroying foetal platelets. Our aim is to produce human antibodies, which will be used as diagnostic agents to screen for the condition in pregnant women, and to further develop such antibodies for therapy. Identification of mothers at risk of FMAIT and the development of a specific therapy are vital to the management and prevention of this serious condition.Read moreRead less
Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in m ....Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in many of these computer models and develop a novel and innovative design methodology. The success of this project will revolutionize the computational tools for the industry realizing a convenient, robust and time-saving integrated platform catering for increasing future market demand.Read moreRead less
Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilizati ....Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilization of existing road infrastructure by diffusing traffic to alternate routes, (c) provide economic benefit by allowing one to delay infrastructure expansion, (d) monitoring of aberrant behaviour by road users to ensure a safer road environment, and (e) improved flexibility in deployment of the Wireless Sensor Network to meet the needs of the road authorities and community.Read moreRead less
DEVELOPING A SMART FIRE RISK ADVISORY SYSTEM USING FIRE MODELLING AND KNOWLEDGE-BASED SYSTEMS TECHNOLOGIES. This project aims to develop a prototype fire risk advisory system for fire prevention and protection. Intelligent knowledge-based systems technologies will be tailored to provide a standardised approach for fire risk analysis by using collective expertise of fire engineers and fire modelling. This project will lead to a significant advancement to the development of intelligent systems tec ....DEVELOPING A SMART FIRE RISK ADVISORY SYSTEM USING FIRE MODELLING AND KNOWLEDGE-BASED SYSTEMS TECHNOLOGIES. This project aims to develop a prototype fire risk advisory system for fire prevention and protection. Intelligent knowledge-based systems technologies will be tailored to provide a standardised approach for fire risk analysis by using collective expertise of fire engineers and fire modelling. This project will lead to a significant advancement to the development of intelligent systems techniques for industrial applications and provide a better fire risk analysis tool for fire protection and preventions with the benefit of reduced risk for buildings.
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Mitigating ecosystem impacts by improving the way we breed and manage devils. The Tasmanian ecosystem faces irreversible change due to the decline of the apex predator. An insurance population of Tasmanian devils has been established to prevent extinction of the species. Using the latest sequencing technologies the project aims to determine whether the Tasmanian ecosystem can be restored with Tasmanian devils that are more resilient to a changing environment by improving the way that devils are ....Mitigating ecosystem impacts by improving the way we breed and manage devils. The Tasmanian ecosystem faces irreversible change due to the decline of the apex predator. An insurance population of Tasmanian devils has been established to prevent extinction of the species. Using the latest sequencing technologies the project aims to determine whether the Tasmanian ecosystem can be restored with Tasmanian devils that are more resilient to a changing environment by improving the way that devils are bred and managed in captivity.Read moreRead less
OPTIMISATION OF COMPACT BOILING HEAT EXCHANGERS USING ARTIFICIAL NEURAL NETWORK. Compact heat exchangers are increasingly considered for duties in many industrial applications, involving phase change processes of boiling and condensation. In many cases such applications are completely new and no previous experience or information is available for constructive design of compact heat exchangers. This project aims to develop a commercially-viable design methodology that will be innovative and novel ....OPTIMISATION OF COMPACT BOILING HEAT EXCHANGERS USING ARTIFICIAL NEURAL NETWORK. Compact heat exchangers are increasingly considered for duties in many industrial applications, involving phase change processes of boiling and condensation. In many cases such applications are completely new and no previous experience or information is available for constructive design of compact heat exchangers. This project aims to develop a commercially-viable design methodology that will be innovative and novel with in mind of robust and speedy computations of key design parameters of compact boiling heat exchangers through the artificial neural networks (ANN) model and maintaining the inherent accuracy associated with the solutions of the boiling flow and heat transfer processes from computational fluid dynamics (CFD) and validated using experimental data. It will provide a cutting edge to the Industry Partner to compete successfully on the local and global market fronts in designing and manufacturing compact boiling heat exchangers.Read moreRead less