In the last decade Big Data Analytics has become a major decision support factor in industry and government organisations. Visual Analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces. Understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human-computer interaction, perception and cognition, is critical for Big Data Visual Analytics to be effectively deployed. The IEEE International Symposium on Big Data Visual Analytics (BDVA) will be the first of of its kind with the aims to
bringing together leading experts from all relevant scientific domains to advance the understanding of visual analytics of complex, big, and dynamic data;
providing an exciting venue for researchers to network and establish national and international collaborations; and
providing early career scientists with an inspiring event allowing them to connect to relevant experts in the field.
High-performance Visualisation Using OpenGL/WebGL (Tomasz Bednarz)
In modern data science, accelerated visualisation techniques are required to explore data sets in a robust way. This workshop will provide introduction to OpenGL, which is the most widely adopted 2D and 3D graphics API in the industry, bringing thousands of applications to a wide variety of computer platforms. In addition, it talks to compute platforms such as OpenCL or CUDA, and enables developers/scientists to create high-performance, visually compelling graphics software applications. The workshop will include introductions and hands-on exercises to basic concepts of hardware rendered graphics, shader language and also web based version of OpenGL, called WebGL. Short introductions to OpenCL and new Vulcan APIs will be also showcased.
Dr Tomasz Bednarz currently works as a Principal Research Fellow at the QUT Science and Engineering Faculty (between ARC Centre of Excellence for Mathematical and Statistical Frontiers and Institute of Future Environments). Earlier he worked as Research Team Leader of Statistical Analytics and Inference, Computational Research Scientist and Projects Leader at CSIRO’s Digital Productivity and Services Flagship. He joined CSIRO in early 2009, and initially worked as 3-D Visualisation Software Engineer at CSIRO Queensland Centre for Advanced Technologies. Then in early 2011, he moved to Sydney to carry out works on image analysis using GPGPUs and heterogenous architectures, and led NeCTAR funded Cloud-based image analysis and processing toolbox project (http://cloudimaging.net.au). Currently, he leads 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 spanning from image analysis, through numerical simulations and experiments with fluids, visualisation, computer graphics, demoscene to human-computer interactions is evidenced by the quality and number of publications (http://www.researcherid.com/rid/A-7376-2011). He runs Brisbane GPU Meet-up group, is active in the ACM SIGGRAPH International Resources Committee, chairs IEEE Computer Society Queensland chapter, and leads the Brisbane Khronos Group chapter. He actively promotes use of computational and visualisation techniques for science and research, and art + science methodology.