Scientific visualization, sometimes referred to as visual data analysis, is the graphical representation of data as a means of gaining understanding and insight into the data. Scientific visualization research at Utah has focused on applications spanning computational fluid dynamics, medical imaging and analysis, and fire simulations. Research involves novel algorithm development to building tools and systems that assist in the comprehension of massive amounts of scientific data. To comprehend spatial and temporal relationships between data, interactive techniques provide better cues and therefore, much of the scientific visualization research focuses on better methods for visualization and rendering at interactive rates.
- Scientific Computing and Imaging Institute
- Center for the Simulation of Accidential Fires and Explosions
- NIH Center for Bioelectric Field Modeling, Simulation, and Visualization