Speaker: Markus Hadwiger (KAUST)
Abstract
This talk will give an overview of selected research of the High-Performance Visualization research group (vccvisualization.org) at KAUST. Interactive visualization is crucial to exploring, analyzing, and understanding large-scale scientific data, such as the data acquired in medicine or neurobiology using computed tomography or microscopy, or data resulting from large-scale simulations such as fluid flow in the Earth’s atmosphere and oceans. In data-driven sciences, the extreme sizes as well as complexity of data present tremendous challenges to interactive visualization and analysis. This talk will give an overview of selected scalable approaches to tackle these tasks. We will first focus on visualizing large volume data using data structures and algorithms adapted to the requirements of visualization on GPUs, and then describe different approaches for interactive feature-based flow visualization.
Bio
Markus Hadwiger is a professor of computer science at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, where he is leading the High-Performance Visualization research group since 2009. His main research interests are in the area of extreme-scale visual computing and scientific visualization, in particular volume visualization, flow visualization, medical and biological visualization, differential geometry and mathematical physics in visualization, image and volume processing, multi-resolution techniques, data streaming and out-of-core processing, interactive segmentation, and GPU algorithms and architecture. He is a co-author of the book Real-Time Volume Graphics published in 2006, and he has been teaching courses and tutorials at IEEE VIS, ACM SIGGRAPH, ACM SIGGRAPH Asia, and Eurographics, about volume rendering, visualization, GPUs, and Riemannian geometry for visualization.
