Grants Successes
Congratulations to the following staff who were awarded a grant
Massive Black Holes in Dense Star Clusters
Research Centre: Centre for Astrophysics and Supercomputing
Investigators:
- A/Prof Alister W Graham
- A/Prof Jarrod R Hurley
Project summary:
This project will be investigating the metamorphosis of dense star clusters containing millions of stars into massive black holes at the centres of galaxies. The research will be undertaken using the world's largest optical telescopes and one of the nation's fastest supercomputers.
Effective and efficient keyword search for relevant entities over Extensible Markup Language (XML) data
Research Centre: Centre Computing Engineering and Software Systems
Investigators:
- Prof Chengfei Liu
- Prof Jeffrey X Yu
Project summary:
This project aims to greatly improve the relevancy of returned XML entities by keyword queries as well as the efficiency of searching. Effective approaches and efficient algorithms for finding relevant entities from large number of XML data sources will be delivered.
Fundamental physics in distant galaxies
Research Centre: Centre for Astrophysics and Supercomputing
Investigators:
- Dr Michael T Murphy
- Prof Paolo Molaro
- Dr Tamara M Davis
- Dr Julian C Berengut
Project summary:
The fundamental constants of Nature are assumed to characterise physics in our entire Universe, but are they really the same everywhere and throughout its entire 14 billion year history? This project will answer this question with the first large-scale, purpose-built observational programme on one of the world's biggest and best telescopes.
Responsive automated negotiation in open distributed environments
Research Centre: Centre for Computing Engineering and Software Systems
Investigators:
- Dr Quoc B Vo
- Prof Ryszard Kowalczyk
- Prof Sascha Ossowski
- Prof Gregory E Kersten
- A/Prof Rustam Vahidov
Project summary:
The outcomes of this project will be of central importance to a wide range of application areas such as service economy, smart energy grids and smart transportation. The work proposed here will enable the information technology industry to utilise distributed systems and agent technologies in developing the software-driven knowledge economy of the twenty-first-century.
Cost effective storage of massive intermediate data in cloud computing applications
Research Centre: Centre for Computing Engineering and Software Systems
Investigators:
- Prof Yun Yang
- Dr Jinjun Chen
- Prof John Grundy
Project summary:
For frontier technologies, the project aims at inventing novel algorithms for data storage in cloud computing applications and hence will reduce the cost by smart information use. For sustainability, the project can help with reducing energy consumption by dealing more effectively with the growth of massive data in cloud computing facilities.