Moderator: Ulrich Engelke, CSIRO Data61, Australia
Ulrich Engelke is a Senior Research Scientist at CSIRO Data61. Prior to joining CSIRO, we was a Research Scientist in the Visual Experiences Group at Philips Research, The Netherlands, and Philips Color Kinetics, USA. Ulrich is the winner of the prestigious Julius Career Award and won several state iAwards as a member of the Global Initiative for Honey Bee Health. His research currently focuses on human factors and user experience in visual and immersive analytics systems. Ulrich leads the Immersive Analytics initiative at CSIRO Data61 with a focus on earth and environmental science output domains.

Lecturer(s): Ulrich Engelke, CSIRO Data61, Australia
Ulrich Engelke is a Senior Research Scientist at CSIRO Data61. Prior to joining CSIRO, we was a Research Scientist in the Visual Experiences Group at Philips Research, The Netherlands, and Philips Color Kinetics, USA. Ulrich is the winner of the prestigious Julius Career Award and won several state iAwards as a member of the Global Initiative for Honey Bee Health. His research currently focuses on human factors and user experience in visual and immersive analytics systems. Ulrich leads the Immersive Analytics initiative at CSIRO Data61 with a focus on earth and environmental science output domains.

Maxime Cordeil, Monash University, Australia
Dr Maxime Cordeil is a member of the Immersive Analytics Lab, Monash University, Australia. He holds a PhD in HCI and InfoVis from the Higher French Institute of Aeronautics and Space and the University of Toulouse, France. Maxime developed interactive visualisation techniques and interfaces to explore large databases of trajectories for Air Traffic Control analysts both during his PhD and later as a research engineer. He joined Monash in 2015. Maxime has contributed open source software for data visualisation in VR/AR, carried out multiple studies, and designed and developed hardware prototype devices for immersive, tangible interaction.

Andrew Cunningham, University of South Australia, Australia
Andrew Cunningham is a Research Fellow at the University of South Australia. He is passionate about understanding how people interact with computers and devices. From his early PhD research into HCI and information visualisation design, to his industry experience developing mobile games that have been downloaded by more than 50 million players, he strives to solve user-focused problems. He was a key researcher on the Narrative Visualisation project with the Data to Decisions Cooperative Research Centre. This project won the South Australian Australian Information Industry Association iAward for R&D Project of the Year and a merit at the national level.

Barrett Ens, Monash University, Australia
Barrett is currently a Lecturer at Monash University, and a member of the Immersive Analytics research group. He previously completed two research internships with the User Interface Research Group at Autodesk Research and was an NSERC Postdoctoral Research Fellow at UniSA's Empathic Computing Lab. His research interests include novel input methods for augmented reality, immersive analytics, and situated data visualization. In the crossover of these areas, he explores how to take advantage of human spatial abilities for manipulating and understanding information.

Description: The emergence of new display and input technologies profoundly changes the way we interact with data. We are moving from purely desktop based analysis and visualisation, to visual analysis using large wall displays or head mounted displays across the reality-virtuality continuum. Multimodal interaction techniques and tangible user interfaces allow for fluent data manipulation utilising a wide range of motor and sensory modalities of the human body and mind, potentially allowing for improved task efficiency, deeper engagement, and enhanced user experience. Immersive Analytics is a term coined to describe this emerging field of research and development. An increasing body of research has shown the value of immersive analytics systems in a range of applications, including in spatial sciences, manufacturing, and health. Many open issues, however, remain regarding the design space and processing pipeline of immersive analytics systems, including suitable visual representations of complex data, optimal interaction strategies, and real-time processing of large data sources. Specific issues are concerned with the design of real-world situated analytics systems, collaborative systems for multiple analysts, and embodiment of data, all of which require fast and high quality graphics for optimal user experience and analytical performance. While in a recent workshop at ACM CHI 2019 we put a particular focus on user interaction, in this course we aim to draw a stronger focus on the graphical representation and data processing including how GPU facilitate immersive analytics of big data. The lecturers are active immersive analytics practitioners on a range of applications, have extensive teaching experience in this space, and are thus well positioned to present this course. Through this course we aim to not only educate and excite the SIGGRAPH Asia community about this emerging field but to bring the computer graphics and visualisation communities together to learn from each other and build future engagement.