<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style>
</head>
<body dir="ltr">
<div class="elementToProof"><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">This is an announcement of Ted Shao's Candidacy Exam.</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
</span><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">===============================================</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
</span><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Candidate: Ted Shao</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
<br>
</span><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Date: Monday, March 11, 2024</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
<br>
</span><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Time: 2 pm CST</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
<br>
</span></div>
<div class="elementToProof"><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Location: JCL 298</span></div>
<div class="elementToProof"><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);"><br>
</span></div>
<div class="elementToProof"><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Remote Location: <a href="https://urldefense.com/v3/__https://uchicago.zoom.us/j/94195395589?pwd=UnVNdi9KL21aUDFGVWk2V2RRa2lBZz09__;!!BpyFHLRN4TMTrA!_FJBnPmKIGkYaDPErzuldszYk4mjhsCk40uGw1e4ClmDHqYiuThblLBG66bR3wIEp6XcT4s76ITMbmqV6WHWmwPZGqY$" target="_blank" id="OWA436db7fe-6562-f41e-b321-5c20e4888440" class="OWAAutoLink" style="text-align: left;" data-loopstyle="linkonly">https://uchicago.zoom.us/j/94195395589?pwd=UnVNdi9KL21aUDFGVWk2V2RRa2lBZz09</a></span></div>
<div class="elementToProof"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
</span><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Title: StreamServe: Low-Latency Decision Making over Distributed Data Streams</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
<br>
</span><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Abstract: The relevant features for a machine learning task may arrive as one or more continuous streams of data. Serving machine learning models over streams of data creates
a number of interesting systems challenges in managing data routing, time-synchronization, and rate control. This paper presents StreamServe, a distributed streaming system that can serve predictions from machine learning models in real time. We evaluate StreamServe
on three streaming prediction tasks: (1) human activity recognition, (2) autonomous driving, and (3) network intrusion detection.</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
<br>
</span><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Advisors: Sanjay Krishnan</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
<br>
</span></div>
<div class="elementToProof"><span style="font-family: Helvetica; font-size: 12px; color: rgb(0, 0, 0);">Committee Members: Michael Franklin, Sanjay Krishnan, and Nick Feamster</span></div>
<div id="Signature">
<div style="background-color: rgb(255, 255, 255);"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
</span></div>
</div>
</body>
</html>