Fwd: Thesis Proposal - Lujie Karen Chen - Tuesday, June 11 at noon - Room 1202
Artur Dubrawski
awd at cs.cmu.edu
Wed Jun 5 14:32:26 EDT 2019
Please join us to enjoy Karen's presentation of her thesis proposal this
coming Tuesday!
Details below.
Cheers,
Artur
---------- Forwarded message ---------
From: Michelle Wirtz <mwirtz at andrew.cmu.edu>
Date: Wed, Jun 5, 2019 at 11:31 AM
Subject: Thesis Proposal - Lujie Karen Chen - Tuesday, June 11 at noon -
Room 1202
To: heinz-faculty at lists.andrew.cmu.edu <heinz-faculty at lists.andrew.cmu.edu>,
heinz-phd at lists.andrew.cmu.edu <heinz-phd at lists.andrew.cmu.edu>, Amy Ogan <
aeo at andrew.cmu.edu>, Sidney.Dmello at Colorado.EDU <Sidney.Dmello at colorado.edu>
Hi all,
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.
*Title:* Augmenting Human Perceptual and Reasoning Capabilities with
Intelligent Multimodal Analytics: From ICU to Classroom
*Thesis committee: *Artur Dubrawski (Chair), Daniel Nagin, Amy Ogan (HCII,
CMU), Sidney D'Mello (University of Colorado Boulder)
*Abstract: *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.
*Paper:* Link to proposal document: http://bit.ly/2IaDAbD
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