Augmenting Cognition through Data Visualization

The IEEESanta Clara Valley Chapter of IEEE Computational Intelligence Society) is interested in areas such as Artificial Intelligence, Statistical Learning, Data Mining and Pattern Recognition. More specifically we are interested the theory, design, application, and development of biologically and linguistically motivated computational paradigms emphasizing neural networks, connectionist systems, genetic algorithms, evolutionary programming, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained.

IEEE

<H2>PROGRAM</H2>
<P>6:00 - 6:30 PM Networking & Refreshments<BR>6:30 - 7:30 PM Talk<BR>7:30 - 8:00 PM Q&A</P>
<H2>Speaker</H2>
<P>Alark Joshi, Associate Professor in the Department of Computer Science at the University of San Francisco</P>
<H2>Title</H2>
<P>Augmenting Cognition through Data Visualization</P>
<H2>Abstract</H2>
<P>As datasets get larger, it has become increasingly important to manage visual attention and augment cognition. My research has focused on developing novel techniques to draw a viewer's attention to regions of interest in large datasets. These techniques are specifically designed to increase the efficient completion of tasks and to improve the user experience. In this talk, I will present my approaches to solving real-world problems in the fields of atmospheric physics, neurosurgery and mobile data visualization. Our techniques provide temporal context to atmospheric physicists for improved hurricane exploration. I will also present augmented visualization techniques for image-guided navigation during neurosurgery that have resulted in an increased accuracy and confidence among neurosurgeons as compared to the state-of-the-art. I will also present new work from our lab on foveated visualization for rapid exploration that addresses computational complexity when visualizing large datasets.</P>
<H2>Speaker Bio</H2>
<P>Alark Joshi is an Associate Professor in the Department of Computer Science at the University of San Francisco, where he works on data visualization projects for improved neurosurgical planning and treatment. His research focuses on developing and evaluating the ability of novel visualization techniques to communicate information for effective decision making and discovery. His work has led to novel visualization techniques in fields as diverse as computational fluid dynamics, atmospheric physics, medical imaging and cell biology. He received his postdoctoral training at Yale University and Ph.D in Computer Science from the University of Maryland Baltimore County.</P>
<H2>Admission Fee</H2>
<P>Open to all to attend <BR>(Online registration is needed. If you did not register, seating is not guaranteed.)</P>
<UL>
<LI>
<P>IEEE CIS members - free</P>
</LI>
<LI>
<P>Students - $3 (Register at Door $3)</P>
</LI>
<LI>
<P>IEEE (non-CIS) members - $7 (Register at Door $10)</P>
</LI>
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<P>Non-members - $10 (Register at Door $15)</P>
</LI>
</UL>
<P>You do not need to be an IEEE member to attend!</P>

Intel SC12

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Augmenting Cognition through Data Visualization

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