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The Institute for Data Analysis and Visualization (IDAV) consists of six faculty members and approximately 30 researchers and graduate students all working on interdisciplinary problems in visualization, geometric modeling, computer graphics, computational geometry, graphics architecture, and immersive technologies. We are key partners in SDAV, a DoE SciDAC III Scalable Data Analysis an Visualization Center, and in the IRTG, an International Research Training Group based at the Technical University of Kaiserslautern in Germany. We are an internationally recognized leader in the fields of visualization and computer graphics, addressing problems that range from the multiresolution display of very large-scale data, to the discovery of new visual analysis algorithms, to the design of methods to accelerate the use of graphics hardware. Featured Project
Material Boundary Surfaces
There are numerous instances in which it is necessary to reconstruct or track the boundary surfaces (or "interfaces") between multiple materials that commonly result from simulations. Multi-fluid Eulerian hydrodynamics calculations require geometric approximations of fluid interfaces to form the equations of motion to advance these interfaces correctly over time. This project presents ... [more] |
Latest News November 19, 2012
Hank Childs to take a faculty position at the University of Oregon
May 12, 2012
John Owens awarded CUDA Fellow
May 8, 2012
Hank Childs is awarded DoE Early Career Award
Recent Publications
Huettenberger,
Obermaier,
Garth,
Joy,
Hagen,
"Topological Aspects of Material Interface Reconstruction: Challenges and Perspectives",
in Topological Methods in Data Analysis and Visualization (TopoInVis),
Num To Appear,
pp To Appear,
2013
Prilepov,
Obermaier,
Deines,
Garth,
Joy,
"Cubic Gradient-Based Material Interfaces",
in IEEE Transactions on Visualization and Computer Graphics,
2013
Shafii,
Obermaier,
Linn,
Koo,
Hlawitschka,
Garth,
Hamann,
Joy,
"Visualization and Analysis of Vortex-Turbine Intersections in Wind Farms",
in IEEE Transactions on Visualization and Computer Graphics,
2013
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