[4eyes] Fwd: [Students] Dissertation Defense Announcement

[Basak Alper]

---------- Forwarded message ----------
From: Kris Listoe <kris at mat.ucsb.edu>
Date: Mon, Mar 11, 2013 at 1:48 PM
Subject: [Students] Dissertation Defense Announcement
To: students at mat.ucsb.edu, staff at mat.ucsb.edu, faculty at mat.ucsb.edu


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Please reserve this date and time for Basak Alper's dissertation defense:***
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Date: Wednesday, March 13, 2013****

Time: 4PM - 6PM****

Location:  1605 Elings Hall (CNSI), UCSB****

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Title: Bridging Dimensions in Visualization ****

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Committee:****

JoAnn Kuchera-Morin (MAT, MUSIC), Co-Chair****

Tobias Hollerer (MAT, CS), Co-Chair****

Matthew Turk (MAT, CS)****

George Legrady (MAT, ART)****

Nathalie Henry-Riche (MICROSOFT RESEARCH)****

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Abstract: ****

Scientific and Information Visualization have evolved into two sub
disciplines of visualization that are quite distinct from each other. A
separation between these fields was justified because of significant
differences in the types of data sets – spatial versus and non-spatial – and
corresponding problems tackled by each. This separation led to a gap
between the software tools, hardware technologies and visual languages
adopted. However, available graphics and visualization techniques,
regardless of their intended purpose, can be applied advantageously to both
types of data sets. In this context, 3D graphics rendering methods, which
are readily adopted for Scientific Visualizations, can be used to enhance
2D Information Visualization techniques. Similarly, certain spatial data
sets can be better visualized with 2D Information Visualization approaches
to support a range of tasks such as comparison and detection of patterns. **
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The goal of this thesis is to develop Scientific and Information
Visualizations with the following motivations: 1) dimensionality should be
defined and addressed not as a binary distinction between 2D and 3D, but
rather as a continuum such that visualizations can have intermediary
dimensionality, 2) dimensionality of a visualization should be determined
by the task at hand rather than the spatial properties of the data or the
conventions of the respective visualization fields. ****

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This thesis will present evidence from case studies that support the
aforementioned propositions. It will discuss two case studies – *Stereoscopic
Highlighting* and *Contour Maps* – that illustrate how 3D elements can be
used to enhance 2D visualizations of non-spatial data. The benefits of
reducing dimensions will be explored via *LineSets* and *Weighted Graph
Comparisons for Brain Connectivity Analysis* case studies. Our results show
that more compact representations can be realized and key tasks such as
visual comparisons can be carried out more effectively with reduced
dimensional representations of spatial data.  ****

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