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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20111115T233000Z
DTEND:20111115T234500Z
LOCATION:TCC LL1
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Data-intensive analysis is a challenging task in this so-called data deluge era and large-scale data visualization is highly valuable in many scientific domains as it facilitates scientific discoveries. To utilize the power of the next exascale computing in large-scale data analysis, I have conducted my dissertation research in two main directions: i) Developing large-scale data visualization algorithms for data-intensive and high-dimensional scientific data analysis. ii) Implementing distributed and parallel algorithms with efficient use of distributed computing resources, including high-performance clusters, grids, and cloud systems. To this end, I have built a large-scale visualization system which consists of a set of high-performance parallel dimension reduction algorithms and a light-weight 3D point visualization client, named PlotViz, with which users can navigate large number of data in a virtual 3D space. This visualization system has been successfully applied to real-life data mining projects including a drug discovery project and a chemogenomic data mining.
SUMMARY:Large-scale data visualization for data-intensive and high-dimensional scientific data analysis
PRIORITY:3
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