Special Research Initiatives - Grant ID: SR0354693
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in ....Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in other RNs linking to their motivating applications, enhancing prospects for research and integration. They participate in the APAC Grid program, leveraging 75 HPC staff nationally. A key aim is interoperability with "real-world Grids": eg e-learning & e-health programs.Read moreRead less
ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relat ....ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relating to critical infrastructure. World-leaders with extensive national and international linkages in relevant scientific, engineering and technological research will lead this collaboration. The RNSA will launch various activities to foster research collaboration and nurture young investigators.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989347
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
CYCLOPS - A Better Way to Find Extrasolar Planets. The primary scientific driver for this new facility is the search for planets orbiting other stars. Australian astronomers, and the Anglo-Australian Telescope, have played a leading role in this new frontier for astronomy, detecting 25 of the 250-odd extrasolar planets known to orbit nearby stars. The CYCLOPS project brings together a team of leading Australian astronomers to build on this track record with a new facility that further advances A ....CYCLOPS - A Better Way to Find Extrasolar Planets. The primary scientific driver for this new facility is the search for planets orbiting other stars. Australian astronomers, and the Anglo-Australian Telescope, have played a leading role in this new frontier for astronomy, detecting 25 of the 250-odd extrasolar planets known to orbit nearby stars. The CYCLOPS project brings together a team of leading Australian astronomers to build on this track record with a new facility that further advances Australia's capabilities in both this field, and several other high-profile astronomical endeavours: including the study of seismology in stellar interiors, the detailed measurement of elemental abundances in stars throughout our Galaxy, and the mapping of spot features on the surfaces of stars.Read moreRead less
Erosion of embankment dams and dam spillways. In excess of $250M is spent annually to maintain, upgrade, improve safety and monitor performance of Australian dams. Improved methods for assessing both spillway and internal erosion, the cause of 50 per cent of embankment dam failures and incidents requiring repairs, will be developed, maximising dam safety and minimising maintenance expenditure.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0560716
Funder
Australian Research Council
Funding Amount
$864,610.00
Summary
A National T-ray Facility. T-rays are between microwaves and infrared on the electromagnetic spectrum. Recently, advances in femtosecond lasers enabled access to T-ray frequencies, producing an important new imaging modality for non-invasive sensing of materials and structures. Internationally, T-rays represent a rich new science leading to advanced forms of biophotonics, biomedical imaging and spectroscopy. Non-invasive T-ray diagnostics of nano- and bio-materials are being hotly pursued. The o ....A National T-ray Facility. T-rays are between microwaves and infrared on the electromagnetic spectrum. Recently, advances in femtosecond lasers enabled access to T-ray frequencies, producing an important new imaging modality for non-invasive sensing of materials and structures. Internationally, T-rays represent a rich new science leading to advanced forms of biophotonics, biomedical imaging and spectroscopy. Non-invasive T-ray diagnostics of nano- and bio-materials are being hotly pursued. The outcome will be a strategically important Australian T-ray facility that will provide immediate and transparent nationwide access. Historically, industry is transformed every time a new part of the electromagnetic spectrum becomes accessible - T-rays are the next frontier.Read moreRead less
Controlling ultracold atomic gases. This project will develop ways to control the quantum state of ultracold atomic gases. These experimentally accessible systems will be used to investigate and understand a huge range of scientific phenomena from stars to superconductors, and enable critical quantum technologies that will revolutionise communications and precision measurement.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100185
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
High throughput microbial microculture and single cell analysis facility. High throughput microbial microculture and single cell analysis facility:
To support the emerging research area of microbial heterogeneity and variation in response to conditions, this project aims to establish a facility centred on a 24-microbioreactor system for high throughput microbial culturing. This is designed to be connected to two complementary analysis techniques – flow cytometry and high resolution infra-red mi ....High throughput microbial microculture and single cell analysis facility. High throughput microbial microculture and single cell analysis facility:
To support the emerging research area of microbial heterogeneity and variation in response to conditions, this project aims to establish a facility centred on a 24-microbioreactor system for high throughput microbial culturing. This is designed to be connected to two complementary analysis techniques – flow cytometry and high resolution infra-red microscopy – for the non-destructive measurement of metabolic activities and mapping of constituents of whole cells. This would help us to determine the variation in response between organisms, to guide cell line development and process optimisation for a wide range of biotechnology applications. Expected outcomes may apply to Australia’s brewing, wine, food processing, aquaculture, biofuels, biomedical and biotechnology industries.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Multi-functional nano-modified cementitious materials for well cementing. By incorporating different nano-materials in well cements, this project aims to develop multi-functional cementitious materials with self-sensing properties and greater strength and durability under extreme conditions including high/low temperatures, high pressure and corrosive environments. The integrity and longevity of well cement are paramount for the safe, efficient, environmentally sustainable production of oil and n ....Multi-functional nano-modified cementitious materials for well cementing. By incorporating different nano-materials in well cements, this project aims to develop multi-functional cementitious materials with self-sensing properties and greater strength and durability under extreme conditions including high/low temperatures, high pressure and corrosive environments. The integrity and longevity of well cement are paramount for the safe, efficient, environmentally sustainable production of oil and natural gas resources. Cementing problems are the main factor contributing to incidents during drilling and completion of wells, necessitating costly remediation. It is expected that the novel cement developed in the project will produce safer wells with fewer (gas) environmental emission risks.Read moreRead less