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<div dir="ltr"><span style="color:rgb(33, 33, 33);display:inline !important">This is an announcement of Pouya Mahdi Gholami's MS Presentation</span><br style="color:rgb(33, 33, 33)">
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<div dir="ltr"><span style="color:rgb(33, 33, 33);display:inline !important">===============================================</span><br style="color:rgb(33, 33, 33)">
<span style="color:rgb(33, 33, 33);display:inline !important">Candidate: Pouya Mahdi Gholami</span><br style="color:rgb(33, 33, 33)">
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<span style="color:rgb(33, 33, 33);display:inline !important">Date: Wednesday, December 14, 2022</span><br style="color:rgb(33, 33, 33)">
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<span style="color:rgb(33, 33, 33);display:inline !important">Time:<span class="Apple-converted-space"> </span></span><span dir="ltr" style="color:currentcolor;text-decoration-color:rgb(0, 120, 212) !important">11 am CST</span><br style="color:rgb(33, 33, 33)">
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<span style="color:rgb(33, 33, 33);display:inline !important">Location: JCL 298<span class="Apple-converted-space"> </span></span>
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<div style="color:rgb(33, 33, 33)">Remote Location: <a href="https://urldefense.com/v3/__https://uchicago.zoom.us/j/95759025362?pwd=bmkwZVFubVlYSlNoVEFkL00zRU5PZz09__;!!BpyFHLRN4TMTrA!8Yo3m07ZW_Cv4--JGe8dF6TP7hMgmbAxME3Ryq2YBfqeiT4KtJg_ibmCnIr8WdhI02P9JJOCis2aQZn_uE0KCY0ZaTrz2AF9qth5$" id="LPlnk913518" style="font-family:"Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif;background-color:rgb(255, 255, 255);line-height:1.5">https://uchicago.zoom.us/j/95759025362?pwd=bmkwZVFubVlYSlNoVEFkL00zRU5PZz09</a><br>
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M.S. Paper Title: SEASONS: Signal and Energy Aware Sensing on iNtermittent Systems<br>
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Abstract: Both energy-aware, batteryless intermittent systems and signal-aware adaptive sampling algorithms (ASA) aim to minimize sensor data accuracy under energy constraints in edge devices. Intuitively, combining both into a signal- & energy-aware solution
would yield even better accuracy. Unfortunately, ASAs and intermittent systems rely on conflicting energy availability assumptions. So, a straightforward combination cannot achieve their combined benefits. Therefore, we propose SEASONS, the first framework
for signal- and energy-aware intermittent systems. SEASONS buffers signal data in time, monitoring queue dynamics to ensure the data is reported within a user-specified latency constraint. SEASONS improves sensor data accuracy by 31% without increasing energy
usage.<br>
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Advisors: Hank Hoffmann<br>
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Committee: Hank Hoffman, Pedro Lopes, and Shan Lu</div>
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