Chris Johnson, Distinguished Professor of Computer Science, Scientific Computing Institute, University of Utah

Abstract:

Computers are now extensively used throughout science, engineering, and medicine. Advances in computing allow researchers to build and test models of increasingly complex phenomena and thus to generate unprecedented amounts of data. These advances have created the need to make corresponding progress inour ability to understand large amounts of data and information arising from multiple sources. In fact, to effectively understand and make use of the vast amounts of information being produced is one of the greatest scientific challenges of the 21st Century.

Visual computing, which relies on and takes advantage of, the interplay among techniques of visualization, large-scale computing, data management, and imaging, is fundamental to understanding models of complex phenomena, which are often multi-disciplinary in nature. In this talk, I will provide examples of visual computing as applied to important problems in biomedicine.