报告时间：2015年11月27日星期五
报告地点：浙江大学紫金港校区蒙民伟楼CAD&CG国家重点实验室402室
主持人：陈为 教授
报告1： Scalable Data Simulation and Visualization （时间：上午10：00-11：30）
In this talk I will discuss recent developments in the area of interactive numerical simulation and large data visualization at the Chair for Computer Graphics and Visualization at TUM. I will present the results of our research in a variety of applications ranging from computational fluid dynamics and elasticity simulation to astrophysics and geographical information systems. The focus of my talk will be on scalability issues with respect to both the increasing amount of visualization data and the increasing resolution of the simulation domains. I will discuss recent approaches for the visualization of large particle data and data compression, and I will demonstrate the use of scalable numerical solvers and parallel graphics hardware to achieve scalability in numerical simulations.
报告2：Exploring the Limits of Weather Predictability via Uncertainty Visualization （时间：下午14：00-15：30）
Meteorological ensemble forecasts are comprised of multiple realizations of weather variability which are produced by numerical simulations using different physical or computational models, perturbed initial states or varying input parameter settings. Each ensemble member shows a possible occurrence of one or several meteorological parameters, and meteorologists are concerned with analyzing the uncertainty that is represented by the ensemble. Due to the sheer volume of meteorological ensemble fields, their inherent spatial and temporal aspects on different scales, as well as the complex spatio-temporal interrelations between dynamic weather processes, classical data mining and statistical analysis techniques become increasingly limited. While simple analysis tasks, like finding commonalities or differences at fixed locations in space and time, can be realized in an automated way, already in absence of temporal variations a meaningful and intuitive depiction of the resulting 3D fields is challenging. When temporal variations, distributions or directional quantities, and spatio-temporal interdependencies between ensemble members have to be analyzed, the limitations of available techniques become even more severe and new approaches are required. In my presentation I will shed light on the current and future challenges in meteorological ensemble visualization, I will discuss ensemble visualization techniques that have recently be develop at the Chair for Computer Graphics and Visualization at TUM, and I will share ideas for future research in this field.
简历：Rüdiger Westermann, born in Mai 1966, is a Professor for Computer Science at the Technische Universität München. He is head of the Chair for Computer Graphics and Visualization. His research interests include scientific visualization, physics-based simulation, and real-time computer graphics.
He received his Diploma in Computer Science from the Technische Universität Darmstadt in 1991 and his Doctoral degree "with highest honours" from the University of Dortmund in 1996. From 1992 to 1997 he was a member of the research staff at the German National Institute for Mathematics and Computer Science in St. Augustin, Bonn, where he worked together with Wolfgang Krüger on parallel graphics algorithms. In 1998, he joined the Computer Graphics Group at the University of Erlangen-Nuremberg as a Research Scientist. Before he became an Assistant Professor in the Visualization Group at the University of Stuttgart in 1999 he was a Research Assistant in the Mulitres Group at Caltech and a Visiting Professor with the Scientific Computing Laboratory at the University of Utah. In 2001 he was appointed by the RWTH-Aachen as an Associate Professor for Scientific Visualization in the Department of Computer Science. Since 2003, Rüdiger Westermann is Chair of the Computer Graphics and Visualization group. In 2012, he was honoured an ERC advanced grant worth 2.3 million Euros for research in the area of uncertainty visualization.
