Advanced Visualisation Lab
Data visualisation is a fundamental knowledge discovery process that is effectively used in many of Swinburne's research projects. It can be an exploratory process, looking for patterns or relationships, or a confirmatory process to support the use of statistical model fitting.
Data visualisation is used at all stages of research: from conception, planning, data gathering and quality control, to analysis, presentation and publication.
It provides a powerful way to communicate and showcase ideas and discoveries to the general public.
Successful data visualisation relies on the use of an appropriate combination of hardware and software. In the era of ever-increasing data size, traditional visualisation approaches and workflows centred on the researcher at the desktop are being challenged.
New opportunities exist in the form of large-format two- and three-dimensional (stereoscopic) displays, tiled display walls, virtual reality headsets, and the use of cloud-based virtual desktop infrastructure.
We work with Swinburne research insitutes and centres to:
- support, enhance and extend the use of advanced visualisation
- build capability in data visualisation
- research, design, develop and implement new solutions, with an emphasis on accelerating the rate of discovery.
Associate Professor Christopher Fluke is a world leader in astronomy visualisation. His research outputs include contributions to terabyte-scale astronomy visualisation and analysis, accelerated computing with graphics processing units, the fundamental astrophysics of gravitational microlensing and multi-disciplinary research applying visualisation techniques to biomaterials and surface chemistry. Chris completed his PhD in Astrophysics at the University of Melbourne in 1999.