The Computational Visualization Center (CVC) is a cross disciplinary effort whose mission is to develop and improve the core technologies for comprehensive computational modeling, simulation, analysis, and visualization of natural and synthetic phenomena, and then utilize them as an integrated tool for rapid discovery. The center's current research and education areas of interest span image processing, computational geometry, geometric modeling, computer graphics animation, data analysis, visualization, and computational mathematics. Recent research and software development topics include the design and development of efficient and robust 2D/3D/4D image and geometry filtering, reconstruction, compression, matching and meshing algorithms. These are being applied in our current research projects, in particular, to the structure elucidation and construction of multi-scale domain models of molecules, organelles, cells, tissues and organs from multi-modal, microscopy and bio-imaging. The center's research groups are also involved in developing integrated approaches to computational modeling, mathematical analysis and interrogative visualization, especially for dynamic bio-medical phenomena. The center's education and outreach output include generating interpretive scientific animation, and interactive movies, that are being used in classroom instruction, as well as increasing the public awareness of the causative nature of disease, and potential cures.
Additional information may also be found through the webpage of the center's director: http://www.cs.utexas.edu/~bajaj/