Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102948
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Interactive computer vision for image interpretation. This project aims at pushing forward the fundamental research in interactive computer vision. The outcome of this project will enable reliable and efficient solutions to real world image interpretation tasks, such as medical image analysis, financial document processing, and impact evaluation from natural disasters.
View-based processing of pattern matching queries in large graphs. Graph data exist ubiquitously in modern information systems. Graph pattern matching (GPM) finds parts of the data graph that match a given pattern. It has applications in many areas including knowledge discovery, public health, and crime detection. This project will develop novel techniques for the efficient processing of GPM queries in large graphs.
Walking with dinosaurs in the Kimberley: mapping the Cretaceous landscapes of the Dampier Peninsula. The coastline of the Dampier Peninsula, Western Australia, preserves what is arguably one the largest and most significant stretches of dinosaur track-sites in the world. Despite recent National Heritage listing, the majority of these tracksites are largely undocumented, such that their full scientific significance is poorly understood. The aim of this project is to digitally map the dinosaur tra ....Walking with dinosaurs in the Kimberley: mapping the Cretaceous landscapes of the Dampier Peninsula. The coastline of the Dampier Peninsula, Western Australia, preserves what is arguably one the largest and most significant stretches of dinosaur track-sites in the world. Despite recent National Heritage listing, the majority of these tracksites are largely undocumented, such that their full scientific significance is poorly understood. The aim of this project is to digitally map the dinosaur tracksites of the Dampier Peninsula, utilising high-resolution aerial photography with both manned and unmanned aircraft, airborne and hand-held LiDAR imaging, and digital photogrammetry. The results will allow us to construct high-resolution, three-dimensional digital outcrop models of the tracksites, and bring the 130 million-year-old landscapes back to life.Read moreRead less
Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than ai ....Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than aiming to achieve invariance to it. The project will also research new data agnostic feature compaction capabilities to enable scalable learning on the world’s largest and challenging expression dataset available to us through international collaboration. Tackling these two major open problems will make accurate coding of facial expressions in natural environments achievable.Read moreRead less
Towards the prime power conjecture. This project attacks a famous and long standing conjecture in pure mathematics that has important ramifications in many applied areas. The project aims to determine when it is possible to produce more efficient codes for electronic communication and statistically balanced designs for experiments in areas as diverse as agriculture and psychology.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100206
Funder
Australian Research Council
Funding Amount
$550,000.00
Summary
Lattice light sheet microscopy for imaging biology in real space and time. This project aims to establish a Lattice Light-Sheet Microscope (LLSM) Facility, to provide the dedicated computing infrastructure needed for terabyte-scale image acquisition and handling. Lattice light sheet microscopy allows four-dimensional imaging of live biological specimens from individual molecules to small organisms. The microscope images live specimens without phototoxicity or photobleaching, enabling prolonged i ....Lattice light sheet microscopy for imaging biology in real space and time. This project aims to establish a Lattice Light-Sheet Microscope (LLSM) Facility, to provide the dedicated computing infrastructure needed for terabyte-scale image acquisition and handling. Lattice light sheet microscopy allows four-dimensional imaging of live biological specimens from individual molecules to small organisms. The microscope images live specimens without phototoxicity or photobleaching, enabling prolonged imaging of significant physiological or biophysical events. Expected outcomes include high impact discoveries and publications in fundamental research, rapid solutions for industry-focussed projects and opportunities for collaboration, research and development. The imaging is expected to reveal key scientific insights and showcase biology to the public.Read moreRead less
Omniscient face recognition for uncooperative subjects. The outcomes of this project will enable effective video surveillance technology to be developed for use by law enforcement and national security agencies. It will lead to reliable identification of humans at a distance by automatically detecting and recognising faces, for use in counter-terrorism surveillance and commercial robot-human interfaces.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100089
Funder
Australian Research Council
Funding Amount
$490,000.00
Summary
Connecting big data with high performance computing for climate science. Connecting big data with high performance computing for climate science: The ARC Centre of Excellence for Climate System Science is a key user of the National Computational Infrastructure facility (NCI). This research requires massive data integrated with high performance computing in an operational facility. Fast disk capacity that is simultaneously connected to NCI long-term storage, cloud and high performance computing s ....Connecting big data with high performance computing for climate science. Connecting big data with high performance computing for climate science: The ARC Centre of Excellence for Climate System Science is a key user of the National Computational Infrastructure facility (NCI). This research requires massive data integrated with high performance computing in an operational facility. Fast disk capacity that is simultaneously connected to NCI long-term storage, cloud and high performance computing severely limits use of the NCI. To resolve this limitation, 1.7 petabytes of storage will be installed to transform the efficiency of the facility. This will enable more ambitious science to be undertaken. This investment will be used to launch a transformation from petascale to exascale problems and communicate the lessons learned to other research communities in Australia.Read moreRead less
Learned Academies Special Projects - Grant ID: LA170100011
Funder
Australian Research Council
Funding Amount
$170,000.00
Summary
The use of big data for social policy: benefits and risks. This project aims to investigate the benefits and risks of using ‘big data’ and analytics for social policy. Drawing on documentary sources and interviews with experts and stakeholders, the project will use five case studies to examine the capability, underlying assumptions and possible impacts of such techniques. The project will bring together a multi-disciplinary team of social and data scientists to identify the infrastructural, tech ....The use of big data for social policy: benefits and risks. This project aims to investigate the benefits and risks of using ‘big data’ and analytics for social policy. Drawing on documentary sources and interviews with experts and stakeholders, the project will use five case studies to examine the capability, underlying assumptions and possible impacts of such techniques. The project will bring together a multi-disciplinary team of social and data scientists to identify the infrastructural, technical, and social, ethical and legal issues that need to be addressed. The project will define key issues for future research, promote collaboration between the social sciences and big data disciplines, while creating opportunities for building capability for researchers in the social sciences. Read moreRead less