<node id="206301">
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  <title><![CDATA[ARC-RIM Industry Day 2013]]></title>
  <body><![CDATA[<p>Organized by the Robotics &amp; Intelligent Machines Center (RIM) and the Algorithms &amp; Randomness Center (ARC), the event brings together leaders and researchers from industry and academia for a day-long workshop. This year, discussion topics include challenges, opportunities, and new trends in logistics, supply chain management, display advertisement, energy efficiency, and related algorithms. The event is FREE, but pre-registration is requested by emailing&nbsp;<a href="mailto:nwhite@cc.gatech.edu">Nina White</a>.</p><h3><strong>Agenda</strong></h3><p><strong>8:45-9:15 Registration</strong></p><p><strong>9:15-10:15 Logistics</strong></p><p>&nbsp; &nbsp;Kevin Gue, Auburn University <br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; “Plug-and-Work Material Handling”</p><p>&nbsp;&nbsp;&nbsp; Henrik Christensen, Georgia Tech<br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; TBA</p><p><strong>10:15-10:30 Break</strong></p><p><strong>10:30-12:30 Optimization</strong></p><p>&nbsp;&nbsp;&nbsp; Sebastian Pokutta, Georgia Tech <br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; “Applying Algorithms to Real-World Problems”</p><p>&nbsp;&nbsp;&nbsp; Ken Clarkson, IBM Research<br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; “Low Rank Approximation and Regression in Input Sparsity Time”</p><p>&nbsp;&nbsp;&nbsp; Nitish Korula, Google Research<br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; “Online Matching and Online Display Advertising”</p><p>&nbsp;&nbsp;&nbsp; Kamal Jain, eBay<br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; “Business Models of Buyer-Sellers Matching”</p><p><strong>12:30-1:15 Lunch</strong></p><p><strong>1:15-2:45 Energy and Sustainability</strong></p><p>&nbsp;&nbsp;&nbsp; Frederic Villenueve, Siemens Corporation<br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; TBA</p><p>&nbsp;&nbsp;&nbsp; Debmalya Panigrahi, Microsoft Research and Duke University<br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; “Energy-Efficient Scheduling”</p><p>&nbsp; Nagi Gebraeel, Georgia Tech <br /> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; “Predictive Analytics for Improving Reliability and Ensuring Sustainability”</p><p><strong>2:45-3:15 Break</strong></p><p><strong>3:15-4:00 Panel Discussion</strong></p><p><strong>4:00-5:00 Reception</strong></p>]]></body>
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      <value><![CDATA[<p>Organized by the Robotics &amp; Intelligent Machines Center (RIM) and the Algorithms &amp; Randomness Center (ARC), the event brings together leaders and researchers from industry and academia for a day-long workshop. This year, discussion topics include challenges, opportunities, and new trends in logistics, supply chain management, display advertisement, energy efficiency, and related algorithms. The event is FREE, but pre-registration is requested by emailing&nbsp;<a href="mailto:nwhite@cc.gatech.edu">Nina White</a>.</p>]]></value>
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      <value><![CDATA[2013-04-25T09:45:00-04:00]]></value>
      <value2><![CDATA[2013-04-25T18:00:00-04:00]]></value2>
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      <timezone><![CDATA[America/New_York]]></timezone>
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      <value><![CDATA[<p>Josie Giles<br />RIM Communications Officer<br /><a href="mailto:josie@gatech.edu">josie@gatech.edu</a></p>]]></value>
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      <value><![CDATA[(404) 385-3300]]></value>
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      <url><![CDATA[http://map.gtalumni.org/index.php?id=153]]></url>
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        <url>http://robotics.gatech.edu/</url>
        <link_title><![CDATA[Center for Robotics & Intelligent Machines]]></link_title>
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        <url>http://arc.gatech.edu/</url>
        <link_title><![CDATA[Algorithms & Randomness Center]]></link_title>
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          <item><![CDATA[College of Computing]]></item>
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        <value><![CDATA[Training/Workshop]]></value>
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        <value><![CDATA[algorithms &amp; randomness center]]></value>
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