January 23, 2015
Fluid dynamics and structural mechanics are major sources of simulation data sets. The interpretation of these data relies to a large extend on effective visualization methods. As the data is often too large for direct visualization, data reduction methods like feature detection or topological structure extraction are a promising route.
Prof. Dr. Scheuermann presents several recent developments for the visualization of simulations in material sciences, especially fluid dynamics and structural mechanics.
He presents several topologically motivated approaches to detect relevant structures in computational fluid dynamics simulations. In addition, he discusses recent work on using moments to find patterns in velocity vector fields. Furthermore, he shows how visualization methods can lead to improved design in structural mechanics.
Gerik Scheuermann received a PhD in computer science from TU Kaiserslautern in 1999. After postdoctoral work at UC Davis, he returned to Kaiserslautern as a junior professor in 2001. After declining professorships at the Universität Freiburg and Universität Jena, he became a full professor at the Institute of Computer Science at the Universität Leipzig in 2004. He also declined an offer to become a professor at Universität Mainz in 2009. His research interests center around all areas of visualization including visual analytics. He has also worked on Clifford algebra, topological data analysis, and information theoretic methods. He published more than 180 papers on these topics. He served as Paper Co-Chair for EuroVis 2008, IEEE SciVis 2011, and IEEE SciVis 2012. Currently, he acts as Paper Co-Chair for IEEE PacificVis 2015. He organized TopoInVis 2007, AGACSE 2008, and EuroVis 2013. Furthermore, he is currently speaker of the GI working group on visualization, GI VIS.