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  <title><![CDATA[Machine Learning in Science and Engineering (MLSE) Conference]]></title>
  <body><![CDATA[<p>The second-annual Machine Learning in Science and Engineering (MLSE) Conference highlights advances in research that utilize methods of artificial intelligence, the development of new machine learning algorithms designed for science and engineering problems, and the ways these methods lead to innovations across various fields. Researchers from academia, government, and industry will gather to explore the future of research in science and engineering.</p>

<h4><strong>Program of Events</strong></h4>

<p><strong>Sunday, June 9, 2019</strong><br />
3:00&ndash;5:00 Parallel Short Courses</p>

<p><strong>Monday, June 10, 2019</strong><br />
8:00&ndash;9:00 Continental Breakfast<br />
9:00&ndash;12:00 Parallel&nbsp;Sessions<br />
12:00&ndash;1:30 Lunch (Ballroom) plus Plenary Talk<br />
1:30&ndash;2:00 Poster Session<br />
2:00&ndash;3:30 Parallel&nbsp;Sessions<br />
3:30&ndash;4:00 Break<br />
4:00&ndash;5:30&nbsp;Parallel&nbsp;Sessions<br />
6:00&ndash;7:00 Reception</p>

<p><strong>Tuesday, June 11, 2019</strong><br />
8:00&ndash;9:00 Continental Breakfast<br />
9:00&ndash;12:00 Parallel&nbsp;Sessions<br />
12:00&ndash;1:30 Lunch (Ballroom) plus Plenary Talk<br />
1:30&mdash;2:00 Poster Session<br />
2:00&ndash;3:30 Parallel&nbsp;Sessions<br />
3:30&ndash;4:00 Break<br />
4:00&ndash;5:30&nbsp;Parallel&nbsp;Sessions</p>

<p><strong>Wednesday, June 12, 2019</strong><br />
8:00&ndash;9:00 Continental Breakfast<br />
9:00&ndash;10:00 Plenary Talk<br />
10:00&ndash;11:00 Plenary Talk<br />
11:00&ndash;12:00&nbsp;Parallel&nbsp;Discussions<br />
12:00&ndash;2:00 Lunch on Your Own<br />
2:00&ndash;3:00 Plenary Talk<br />
3:00&ndash;5:00 Self-organized Breakouts and Discussions</p>

<h4><strong>Tracks</strong></h4>

<ul>
	<li>Biomedical Engineering</li>
	<li>Civil and Environmental Engineering</li>
	<li>Chemical Engineering</li>
	<li>Chemistry</li>
	<li>Electrical and Computer Engineering</li>
	<li>Industrial Engineering and Operations Research</li>
	<li>Materials Science and Engineering</li>
	<li>Mechanical Engineering</li>
	<li>Physics</li>
	<li>Public Policy</li>
</ul>
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      <value><![CDATA[<p>Shkina Halbert<br />
Sr. Administrative Professional<br />
<strong><a href="mailto:Women%20in%20Data%20Science%20Workshop%20(WDSW)">shalbert@gatech.edu</a></strong></p>
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        <url>http://bit.ly/MLSE19-registration</url>
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        <url>http://dsf.ideas.gatech.edu/abstracts</url>
        <link_title><![CDATA[Submit an Abstract Proposal for MLSE]]></link_title>
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        <url>http://dsf.ideas.gatech.edu/events/MLSE/grants</url>
        <link_title><![CDATA[Apply for a Travel Grant to Attend MLSE]]></link_title>
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        <url>http://dsf.ideas.gatech.edu/</url>
        <link_title><![CDATA[Annual Data Science Forum]]></link_title>
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