<div dir="ltr">Please join us to enjoy Karen's presentation of her thesis proposal this coming Tuesday!<div><br></div><div>Details below.</div><div><br></div><div>Cheers,</div><div>Artur<br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Michelle Wirtz</strong> <span dir="auto"><<a href="mailto:mwirtz@andrew.cmu.edu">mwirtz@andrew.cmu.edu</a>></span><br>Date: Wed, Jun 5, 2019 at 11:31 AM<br>Subject: Thesis Proposal - Lujie Karen Chen - Tuesday, June 11 at noon - Room 1202<br>To: <a href="mailto:heinz-faculty@lists.andrew.cmu.edu">heinz-faculty@lists.andrew.cmu.edu</a> <<a href="mailto:heinz-faculty@lists.andrew.cmu.edu">heinz-faculty@lists.andrew.cmu.edu</a>>, <a href="mailto:heinz-phd@lists.andrew.cmu.edu">heinz-phd@lists.andrew.cmu.edu</a> <<a href="mailto:heinz-phd@lists.andrew.cmu.edu">heinz-phd@lists.andrew.cmu.edu</a>>, Amy Ogan <<a href="mailto:aeo@andrew.cmu.edu">aeo@andrew.cmu.edu</a>>, Sidney.Dmello@Colorado.EDU <<a href="mailto:Sidney.Dmello@colorado.edu">Sidney.Dmello@colorado.edu</a>><br></div><br><br>
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<p class="MsoNormal">Hi all,<u></u><u></u></p>
<p class="MsoNormal">Please join us on Tuesday, June 11, 2019 in Hamburg Hall Room 1202 at noon when Lujie Karen Chen will be presenting her thesis proposal.<u></u><u></u></p>
<p class="MsoNormal"><b>Title:</b> Augmenting Human Perceptual and Reasoning Capabilities with Intelligent Multimodal Analytics: From ICU to Classroom<br>
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<p class="MsoNormal"><b>Thesis committee: </b>Artur Dubrawski (Chair), Daniel Nagin, Amy Ogan (HCII, CMU), Sidney D'Mello (University of Colorado Boulder)<span style="color:black"><u></u><u></u></span></p>
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<p class="MsoNormal"><b>Abstract: </b>Augmenting human perceptual and reasoning capability by leveraging machine intelligence has been on the agenda of AI exploration since its inception. The recent developments in sensing technology make it possible to generate
and accumulate massive amounts of high frequency multimodal data. This creates new opportunities for automating the analysis of this type of data where the dynamic and time sensitive decision making plays a major role in quality of service. In this thesis,
I conduct simultaneous investigation in two presumably unrelated domains: monitoring of patients for instability in critical care, and monitoring elementary school students for their cognitive and affective states during math problem solving exercises. Those
two contexts share similar monitoring paradigms with similar challenges, and offer comparable opportunities with high frequency multimodal observations. The goal of my thesis is to explore and demonstrate the practical utility of multimodal analytics of high
frequency monitoring data in support of decision making in those contexts. <br>
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<p class="MsoNormal"><b>Paper:</b> Link to proposal document: <a href="http://bit.ly/2IaDAbD" target="_blank">
http://bit.ly/2IaDAbD</a><u></u><u></u></p>
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