Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database ....Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database search, by business analytics companies to reveal new technologies and potential collaborators, and by academic economists to understand how knowledge travels and accumulates.
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Cloud-data centres resource allocation under bursty conditions. Cloud-data centres resource allocation under bursty conditions. The project aims to design, implement, and integrate solutions to manage resources in cloud data centres (CDCs), especially when operating under bursty workload conditions. CDCs are expected to assure performance whilst optimising resource usage at a minimum cost, but efficiently providing resources with specific performance requirements can be difficult. This project i ....Cloud-data centres resource allocation under bursty conditions. Cloud-data centres resource allocation under bursty conditions. The project aims to design, implement, and integrate solutions to manage resources in cloud data centres (CDCs), especially when operating under bursty workload conditions. CDCs are expected to assure performance whilst optimising resource usage at a minimum cost, but efficiently providing resources with specific performance requirements can be difficult. This project intends to develop scalable solutions with industry approved software plug-ins. This is expected to affect both trustworthy information and communications technology (ICT) infrastructure (delivering more resilient CDCs) and economic sustainability (reducing CDC usage cost for both users and providers) of today’s computerised society.Read moreRead less
Contention-Aware Scheduling in Cloud Data Centres. This project aims to design, implement, and integrate solutions to improve resource use of private cloud data centres (CDCs). CDCs are expected to guarantee performance while optimising resource usage at a minimum cost. This incurs technical challenges that must be tackled to efficiently provision on-demand resources with specific performance requirements. The project intends to push the applicability of both current techniques and the ones to b ....Contention-Aware Scheduling in Cloud Data Centres. This project aims to design, implement, and integrate solutions to improve resource use of private cloud data centres (CDCs). CDCs are expected to guarantee performance while optimising resource usage at a minimum cost. This incurs technical challenges that must be tackled to efficiently provision on-demand resources with specific performance requirements. The project intends to push the applicability of both current techniques and the ones to be designed in this project to industry-scale CDCs, and identify metrics and variables to holistically control service-level agreements of hosted applications. Scalable solutions with industry approved software plug-ins are the major outcomes of this project. The outcomes of this project will have a substantial impact on both environmental (lowering energy consumption to lead to greener infrastructure) and economic sustainability (reducing cloud usage cost for both users and providers) of today’s much computerised society.Read moreRead less
Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres. Cloud data centres have become increasingly large-scale to meet ever increasing computing and storage capacity. The requirement of uninterrupted service availability has also contributed to such expansion. However, this relentless pursuit of high performance and high availability has led to serious resource over-provisioning and, in turn, low performance to energy consumption ratios. The impact of this poor resou ....Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres. Cloud data centres have become increasingly large-scale to meet ever increasing computing and storage capacity. The requirement of uninterrupted service availability has also contributed to such expansion. However, this relentless pursuit of high performance and high availability has led to serious resource over-provisioning and, in turn, low performance to energy consumption ratios. The impact of this poor resource management goes beyond the issue of cloud data centre efficiency, including excessive carbon footprint. This project aims to develop new energy-aware scheduling and resource allocation algorithms to provide energy-efficient solutions. These solutions exploit both workload and system diversity in cloud data centres.Read moreRead less
Novel antimicrobial target discovery by an integrated approach. The project aims to uncover the molecular targets of BDM-I, a novel antimicrobial candidate discovered by the start-up Australian company BioDiem Ltd. BDM-I is active against many drug resistant bacterial and fungal microorganisms and it is currently in pre-clinical development. However, the lack of resistant phenotypes makes it difficult to identify BDM-I’s mechanism of action. The project plans to use an integrated approach that c ....Novel antimicrobial target discovery by an integrated approach. The project aims to uncover the molecular targets of BDM-I, a novel antimicrobial candidate discovered by the start-up Australian company BioDiem Ltd. BDM-I is active against many drug resistant bacterial and fungal microorganisms and it is currently in pre-clinical development. However, the lack of resistant phenotypes makes it difficult to identify BDM-I’s mechanism of action. The project plans to use an integrated approach that combines a novel technique of in silico screening with experimental validation. Project outcomes are anticipated to include the first computational method to integrate target and ligand similarity for proteome-scale target and off-target discovery, which will advance the global fight against drug-resistant microorganisms.Read moreRead less
An Intelligent System for Pre-Mission Analysis of Helicopter Medical Emergency Services. Paramedic crew on board air ambulance helicopter provides rescue and medical emergency, to critically injured/ill cases, in metropolitan/regional/rural areas. These operations are complex and involve mission analysis that governs critical life saving decisions. Currently the analysis and decisions are crew knowledge and experience dependent and thus prone to human error.
The complex process of mission ana ....An Intelligent System for Pre-Mission Analysis of Helicopter Medical Emergency Services. Paramedic crew on board air ambulance helicopter provides rescue and medical emergency, to critically injured/ill cases, in metropolitan/regional/rural areas. These operations are complex and involve mission analysis that governs critical life saving decisions. Currently the analysis and decisions are crew knowledge and experience dependent and thus prone to human error.
The complex process of mission analysis needs to be modelled as an 'Intelligent System' to support critical life saving decisions. In this research project, academics and paramedics will jointly develop an 'Intelligent Decision Support System' to address the key problem of pre-mission analysis and decision support, for Air Ambulance Services.
The project is in the designated research priority area for 2003 funding - 'Complex/Intelligent Systems'.Read moreRead less
Next-generation genomic resources to tackle parasitic diseases of animals. The revolution in genomics provides unprecedented opportunities to tackle destructive parasitic diseases affecting billions of animals worldwide. Through a synergy of leading-edge technologies and a strong partnership with BGI International, this project aims to deliver major conceptual advances in the understanding of parasitism; an unparalleled skills-base in genomics and bioinformatics; innovative new molecular technol ....Next-generation genomic resources to tackle parasitic diseases of animals. The revolution in genomics provides unprecedented opportunities to tackle destructive parasitic diseases affecting billions of animals worldwide. Through a synergy of leading-edge technologies and a strong partnership with BGI International, this project aims to deliver major conceptual advances in the understanding of parasitism; an unparalleled skills-base in genomics and bioinformatics; innovative new molecular technologies; and new treatments and diagnostic tests as biotechnological outcomes. This leap forward in Australia will substantially enhance the global profile of parasitology research, training and employment opportunities for early career scientists, and improve access to international research funding and networks. Read moreRead less
Smart algorithms for visual field assessment. Australian demographic studies show that visual impairment contributes significantly to elderly disability. Visual field loss due to glaucoma, the second leading cause of blindness in developed nations, may be slowed if detected early, but recent studies estimate 50% of Australians with glaucoma are undiagnosed. The fast and effective approaches to measuring visual fields discovered in this project will allow more accurate diagnosis and monitoring of ....Smart algorithms for visual field assessment. Australian demographic studies show that visual impairment contributes significantly to elderly disability. Visual field loss due to glaucoma, the second leading cause of blindness in developed nations, may be slowed if detected early, but recent studies estimate 50% of Australians with glaucoma are undiagnosed. The fast and effective approaches to measuring visual fields discovered in this project will allow more accurate diagnosis and monitoring of vision loss; crucial for the ARC's priority goals of "ageing well, ageing productively" and "preventative healthcare". Developing smart algorithms in conjunction with Heidelberg Engineering creates an opportunity for the international promotion of Australia's biomedical software capabilities.Read moreRead less
Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply ....Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis. Read moreRead less
Australian Sea Anemone Venoms: Bioprospecting & Evolution. Australian sea anemones are a highly promising and largely unexplored source of peptides and proteins with potential therapeutic and diagnostic applications. This project aims to evaluate this potential by undertaking transcriptomic analyses of a number species of anemones from Australian waters and identifying peptides and proteins in their venoms by mass spectrometry. It will also demonstrate the value of transcriptomics in informing t ....Australian Sea Anemone Venoms: Bioprospecting & Evolution. Australian sea anemones are a highly promising and largely unexplored source of peptides and proteins with potential therapeutic and diagnostic applications. This project aims to evaluate this potential by undertaking transcriptomic analyses of a number species of anemones from Australian waters and identifying peptides and proteins in their venoms by mass spectrometry. It will also demonstrate the value of transcriptomics in informing taxonomic classification of anemones. In addition this project will assess toxin diversity within and between species based on nematocyst function from specific tissue sources and provide a clearer understanding of the evolution of venoms in Australian Actiniaria.Read moreRead less