Data Analysis and Visualization
We focus
on developing advanced capabilities for visualization and exploration of
data. The need for such work
is being driven by continuing technological advances which have resulted in
a data explosion. Unfortunately, much of this data is either wasted or examined
superficially because of limited capabilities for the extraction and assimilation
of information which is buried in the data. This work is crucial in that it
affects numerous applications, some of which include engineering, biology and
intelligence. The ultimate goal is to provide enabling capabilities which allow
applications to significantly improve productivity and/or create entirely
new technologies
in their own respective fields.
Some of the mechanisms which can be attempted to provide such capabilities
include: Enabling the examination of very large and/or very complex data, such
as those produced in massively parallel (MP) computing environments. Providing
more efficient implementations of existing techniques. Providing new visualization
and/or other techniques which enhance the ability to understand data. Implementing
entirely new ways for people to interact with data, with a particular emphasis
on interactivity. Identifying new ways for applying such visualization / exploration
technologies.
We deliver visual tools for interacting with data in a variety
of ways:
(a) Linked views-contour and phase space plots, (b) ParaView -- parallel
rendering
post-processor, and (c) Volume rendering.
Areas of Research:
Program Contact: Manager - David Rogers
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