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<div class="">===========================</div>
<div class="">Name: Zhujun Xiao</div>
<div class="">Student ID: 12181081</div>
<div class="">Exam: PhD dissertation Defense</div>
<div class="">Data/Time: 10am July 15th, 2021</div>
<div class="">Committee members: Heather Zheng, Ben Y. Zhao, Junchen Jiang</div>
<div class="">Zoom meeting link: <span class="" style="color: rgb(97, 96, 116);"><a href="https://urldefense.com/v3/__https://uchicago.zoom.us/j/97344992670?pwd=b29MbldVQUExU2kwaDhpa0JBL2NKZz09__;!!BpyFHLRN4TMTrA!rJaOKSzvnDfryRLoA4ENg2wlu0EXNzXXS-hoSE4Jkd_WriaQ_rvN9IX6vmJVK3LjND0$" class="">https://uchicago.zoom.us/j/97344992670?pwd=b29MbldVQUExU2kwaDhpa0JBL2NKZz09</a> (password:
049949)</span></div>
<div class=""><span class="" style="caret-color: rgb(97, 96, 116);"><br class="">
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<div class=""><span class="" style="caret-color: rgb(97, 96, 116);">Dissertation title: </span><span class="" style="font-family: Arial; font-style: italic; white-space: pre-wrap;">Heterogeneity and Scalability in Machine Learning based Sensing Systems</span></div>
<div class=""><span class="" style="caret-color: rgb(97, 96, 116);"><br class="">
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<div class=""><span class="" style="caret-color: rgb(97, 96, 116);">Abstract: </span><span class="" style="white-space: pre-wrap;"><font face="Arial" class="">Deployment of machine learning models into real-world distributed systems is a challenging process.
For a number of sensing and monitoring applications, ML developers must overcome dual challenges of heterogeneity and scalability. Heterogeneity refers to the need for ML models to be customized for instances of the application (e.g. a specific geographic
or network location). Scalability refers to the challenges of training and deploying distinct models across many nodes in a distributed system.</font></span></div>
<span id="docs-internal-guid-89d80aa7-7fff-cb4c-28fc-8099784483a6" class=""><font face="Arial" class=""><br class="">
<div class="" style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;"><span class="" style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">In my PhD work,
I focus on addressing these technical challenges through specific case studies of high-impact problems, including DNN models for spectrum monitoring in cellular networks, video analysis pipelines of urban monitoring systems, and even ML tools for detecting
modifications to digital photos. In this talk, I will summarize my dissertation work and focus on our design of the photo moderation tool for online face photos.
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<div class=""><span class="" style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">=========================================</span></div>
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<div>Nita<br class="">
<br class="">
**************************<br class="">
Nita Yack<br class="">
Manager<br class="">
Computer Science Department<br class="">
5730 S. Ellis - Room 215<br class="">
Chicago, IL 60637<br class="">
<a href="mailto:n-yack@uchicago.edu" class="">n-yack@uchicago.edu</a><br class="">
(773) 702-6019<br class="">
(219) 689-0892 CELL<br class="">
(773) 702-8487 FAX<br class="">
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"Hard work spotlights the character of people: some turn up their<br class="">
sleeves, some turn up their noses, and some don't turn up at all."</div>
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