When: Thursday, December 3rd at 11:10am
Where: 1003 Kemper Hall, UC Davis
Host: Bernd Hamann
Abstract: High energy density science (HEDS) explores the nature of matter and radiation under extreme conditions of temperature and density. It encompasses areas such as stellar evolution, exoplanets, warm dense matter, ultra-dense solids, and fusion ignition and burn. HEDS is an intrinsically multidisciplinary field that tightly couples fundamental discovery with a spectrum of applications. One increasingly important component in this research area is data science. In particular, understanding the large-scale, multi-variate data that describes everything from experiments and simulation ensembles to phase spaces and parameterized models, is of significant interest.
In this talk I will present research directions at the intersection of data analysis, machine learning, statistics, and visualization in areas such as fusion, material science, and climate research. This includes topology-based approaches to analyze high dimensional data, how to exploit state of the art machine learning to develop more intuitive illustrations, and spectral statistical techniques to create high quality randomized samplings. As part of the newly formed Center for High Energy Density Science we are looking to establish new collaborations in these areas and the talk will introduce the current state of research as well as future directions.
Bio: Peer-Timo Bremer is a project leader at the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory and the Associate Director for Research at the Center for Extreme Data Management Analysis and Visualization (CEDMAV) at the University of Utah. His interests include large scale data analysis, visualization, topological techniques, data management, and high dimensional analysis. Peer-Timo is the main software architect for the TALASS (Topological Analysis for Large Scale Science) and ND2AV (N-Dimensional Data Analysis and Visualization) toolkits and the author of numerous conference and journal papers including several best paper awards. Prior to his tenure at CASC, he was a postdoctoral research associate at the University of Illinois, Urbana-Champaign. Peer-Timo earned a Ph.D. in Computer science at the University of California, Davis in 2004 and a Diploma in Mathematics and Computer Science from the Leibniz University in Hannover, Germany in 2000. He is a member of the IEEE Computer Society and ACM.
1003 Kemper Hall