<div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif">FYI, for those of you interested in machine learning with GANs.</div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif">Best,</div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif">-Pradeep</div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br clear="all"></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr">---<div>Pradeep Sen</div><div>Professor</div><div>UCSB MIRAGE Lab</div><div>Dept. of Electrical & Computer Engineering</div><div>University of California, Santa Barbara</div><div>Santa Barbara, CA <span style="background-color:rgba(255,255,255,0)">93106-9560</span></div></div></div></div></div></div><br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <b class="gmail_sendername" dir="auto">Adriana Aguirre</b> <span dir="auto"><<a href="mailto:cao-academic@ece.ucsb.edu">cao-academic@ece.ucsb.edu</a>></span><br>Date: Fri, Aug 30, 2019 at 9:17 AM<br>Subject: Sep 9 (Mon): "PhD Defense: Tensor Decomposition for Concept Recognition," Ahmed Wahba, ECE PhD. Defense<br>To:  <<a href="mailto:seminar@ece.ucsb.edu">seminar@ece.ucsb.edu</a>><br></div><br><br><div dir="ltr"><div class="gmail_default" style="font-family:trebuchet ms,sans-serif;font-size:small;color:#000000"><p class="MsoNormal" style="text-align:center;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif" align="center"><b><span style="font-size:19pt;font-family:Times;color:rgb(54,95,145)">Tensor
Decomposition for Concept Recognition - an Automated and Robust Concept
Recognition Software Based on GANs and Tensors</span></b></p>

<p class="MsoNormal" style="text-align:center;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif" align="center"><b><span style="font-size:19pt;font-family:Times;color:rgb(54,95,145)"> </span></b></p>

<p class="MsoNormal" style="text-align:center;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif" align="center"><b><span style="font-size:14pt;font-family:Times">Ahmed Wahba, ECE PhD Defense</span></b></p>

<p class="MsoNormal" style="text-align:center;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif" align="center"><b><span style="font-size:14pt">September 9, 2019 (Mon), 10:00 am</span></b></p>

<p class="MsoNormal" style="text-align:center;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif" align="center"><b><span style="font-size:14pt">Harold Frank Hall (HFH), Rm 4164</span></b></p>

<p class="MsoNormal" style="text-align:center;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif" align="center"><b><span style="font-size:14pt"> </span></b></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><b><u>Abstract:</u></b></p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif">In production
test data analytics, it is often that analysis involves the recognition of a
conceptual pattern on a wafer map. A wafer pattern may hint a particular issue
in the production by itself or guide the analysis into a certain direction.</p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"> </p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif">In this thesis,
we show how Generative Adversarial Networks (GANs) can be used to build concept
recognizers. We also introduce a novel concept recognition approach based on
Tensor decomposition.</p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"> </p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif">Tensor-based
concept recognizers are combined with GANs-based recognizers to prevent
escapes, also known as adversarial examples. </p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"> </p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif">The focus of
this work is on automating the concept recognition process as well as ensuring
robustness. Two tensor methods are introduced, the first tensor method is based
on clustering and is used to automate concept extraction. The second tensor
method is used to continuously check the GANs-based recognizer's performance to
ensure robustness. The robust automated software is applied to production
wafers from multiple automotive product lines.</p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"> </p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><b><u>Bio:</u></b></p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Ahmed Wahba is a PhD candidate in
Computer Engineering advised by professor Li-C. Wang. Ahmed received his
Bachelor's degree in Electrical Engineering and a Master's degree in Computer
Engineering from Cairo University in 2011 and 2014 respectively.</span></p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </span></p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">His research interests are Machine
Learning, Data Analytics, and Design Automation. His doctoral research is
focused on using Tensor Decomposition for Machine Learning and Data Analytics.</span></p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </span></p>

<p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">He also has industry and research
experience in Computer Architecture, RF Design, and Design Verification.</span></p><p class="MsoNormal" style="line-height:13.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><br></span></p></div><div style="text-align:center"><font face="times new roman, serif"><span style="font-size:10pt">Hosted by: Professor Li-C. Wang|| Submitted by Ahmed
Wahba <<a href="mailto:awahba@ucsb.edu" target="_blank">awahba@ucsb.edu</a></span><span class="gmail_default" style="font-size:small;color:rgb(0,0,0)">></span>  </font> <br></div>-- <br><div dir="ltr" class="m_-1344666711185313569gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><font face="trebuchet ms, sans-serif" color="#999999">Adriana Aguirre<br></font></div><div><font size="2" face="trebuchet ms, sans-serif" color="#999999">Academic Personnel Coordinator</font><div><font size="2" face="trebuchet ms, sans-serif" color="#999999">Electrical & Computer Engineering, HFH 4155</font></div><div><font size="2" face="trebuchet ms, sans-serif" color="#999999">t: (805) 893- 3716</font></div><div><font size="2" face="trebuchet ms, sans-serif" color="#999999">f: (805) 893- 3262</font></div></div><div><font size="2" face="times new roman, serif"><br></font></div><div style="text-align:left"><font face="georgia, serif"><span style="color:rgb(11,83,148);font-size:small"></span></font></div><div><br></div><div><br></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

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