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<p class="MsoNormal"><i><span style="font-family:Helvetica"><o:p> </o:p></span></i></p>
<p class="MsoNormal"><i><span style="font-family:Helvetica;color:#8B0102">UNIVERSITY OF CHICAGO</span></i><o:p></o:p></p>
<p class="MsoNormal"><i><span style="font-family:Helvetica;color:#8B0102">COMPUTER SCIENCE DEPARTMENT</span></i><o:p></o:p></p>
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<p class="MsoNormal"><i><span style="font-family:Helvetica;color:#8B0102">PRESENTS</span></i><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:HelveticaNeue">Justin Solomon</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:HelveticaNeue">Massachusetts Institute of Technology (MIT)<span style="color:#3C4043"> </span></span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:HelveticaNeue">Associate Professor</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:HelveticaNeue">Tues<span style="color:#3C4043">day, October
</span>15<span style="color:#3C4043">th </span></span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:HelveticaNeue;color:black;background:white">12:00pm – 1:00pm</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:HelveticaNeue;color:black;background:white">In Person: John Crerar Library Rm 390</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><i><span style="font-size:10.5pt;font-family:HelveticaNeue">Title:</span></i></b><b><span style="font-size:10.5pt;font-family:HelveticaNeue"> </span></b><b><span style="font-family:HelveticaNeue">Convex Relaxation Strategies for Geometry
Processing</span></b><o:p></o:p></p>
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<p class="MsoNormal" style="text-align:justify"><b><i><span style="font-size:10.5pt;font-family:HelveticaNeue">Abstract:</span></i></b><span class="apple-converted-space"><span style="font-size:10.5pt;font-family:HelveticaNeue"> </span></span><span style="font-family:HelveticaNeue">While
classical models in geometry processing often boil down to linear systems of equations, modern techniques depend on solution of nonlinear and possibly nonconvex problems. In this talk, I will share a variety of works that show how convex relaxations can be
used to extract solutions to difficult geometry processing problems, often with theoretical guarantees of optimality. Our methods are applicable to a wide range of geometry processing tasks, from solution of partial differential equations to design of frame
fields and optimization of minimal surfaces. This talk will cover collaborative research with Mirela Ben-Chen, Albert Chern, Michal Edelstein, Nestor Guillen, Zoë Marschner, Leticia Mattos Da Silva, David Palmer, Dmitriy Smirnov, Oded Stein, Stephanie Wang,
Paul Zhang, and others.</span><o:p></o:p></p>
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<p class="MsoNormal"><b><i><span style="font-size:10.5pt;font-family:HelveticaNeue">Bio:</span></i></b><span class="apple-converted-space"><b><span style="font-size:10.5pt;font-family:HelveticaNeue"> </span></b></span><span style="font-family:HelveticaNeue">
</span><span style="font-family:"Helvetica Neue";color:#313131">Justin Solomon is an associate professor in MIT's Department of Electrical Engineering and Computer Science. He directs the Geometric Data Processing group in the MIT Computer Science and Artificial
Intelligence Laboratory (CSAIL), which studies problems at the intersection of geometry, large-scale optimization, and applications in graphics and machine learning. Prof. Solomon is visiting the University of Chicago on October 7-18.</span><o:p></o:p></p>
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<p class="MsoNormal" style="text-align:justify"><b>Host: Rana Hanocka</b><o:p></o:p></p>
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