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<faculty>
   <name/>
   <firstname>Yang</firstname>
   <lastname>Shi</lastname>
   <suffix/>
   <pronouns/>
   <department>School of Computing</department>
   <position>Assistant Professor </position>
   <background/>
   <location>SER 301M</location>
   <campusMapURL/>
   <phone>435-797-4458</phone>
   <email>yang.shi@usu.edu</email>
   <hours/>
   <image/>
   <personalURL>https://yshi.info/</personalURL>
   <cvURL/>
   <emphasis>&lt;span&gt;Educational Data Mining, Learning Analytics, AI in Education, School of Computing Education&lt;/span&gt;</emphasis>
   <expertise/>
   <bio>Yang Shi is an Assistant Professor of School of Computing at Utah State University. He has been working towards building data-driven methods for representing program code to enhance the ability of Intelligent Tutoring Systems and benefit student modeling processes for computing education. With a focus on DM/ML approaches applied to CS education, his research interests also include Programming Language Processing, Software Analysis, and Deep Learning. He has been serving as a program committee (PC) member in conferences across multiple disciplines, including EDM, LAK, KDD, AAAI, EAAI, SIGCSE, and ITICSE.</bio>
   <priority/>
   <anumber/>
   <altURL/>
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   <apptManagerURL/>
   <prefix/>
</faculty>
