Visual Analytics on Steroids: High Performance Visualisation, Simulations and AI
YOW! Data 2018
In the time that someone takes to read this abstract, another could solve a detective puzzle if only they had enough quantitative evidence on which to prove their suspicions. But also, one could use visualisation and computational tools like a microscope, to seek a new cure for cancer or predict hospitalisation prevention. In this presentation, we will demonstrate new visual analytics techniques that use various mixed reality approaches that link simulations with collaborative, complex and interactive data exploration, placing the human-in-the-loop. In the recent days, thanks to advances in graphics hardware and compute power (especially GPGPU and modern Big Data / HPC infrastructures), the opportunities are immense, especially in improving our understanding of complex models that represent the real- or hybrid-worlds. Use cases presented will be drawn from ongoing research at CSIRO, and Expanded Perception and Interaction Centre (EPICentre) using world class GPU clusters and visualisation capabilities.
Director of Visualisation
UNSW and CSIRO/Data61
Tomasz Bednarz is an A/Professor and Director of Visualisation at the Expanded Perception and Interaction Centre (EPICentre) UNSW and Team Leader at CSIRO's Data61 (Big Data Visualisation and Analytics Team). He is also linked with the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) at the QUT and holds Adjunct positions at the University of Sydney (Design Lab) and University of South Australia (School of IT and Math Sciences). He has done his doctorate and masters in physics and computational science area. Over last couple of years at he has been involved in wide range of projects in area of immersive visualisation, human-computer interaction, computational imaging and visualisation, multi-sensors assimilation. He led cloud-based imaging project that received merit Queensland's iAward in 2015 (http://cloudimaging.net.au). He has been leading project Platform for Big Data Analytics and Visual Analytics, connecting data analytics, statistical modelling, image analytics, machine learning, visualisation into one stack of reusable solutions running on the CSIRO infrastructure. His broad range of expertise is evidenced by the quality and number of publications, http://www.researcherid.com/rid/A-7376-2011.