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  <title><![CDATA[Ph.D. Proposal Oral Exam - Sahil Shah]]></title>
  <body><![CDATA[<p><strong>Title:&nbsp; </strong><em>Low-Power Computation using FPAA for Wearable Devices</em></p>

<p><strong>Committee:&nbsp; </strong></p>

<p>Dr. Hasler, Advisor&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p>

<p>Dr. Inan, Chair</p>

<p>Dr. Sarioglu</p>

<p><strong>Abstract: </strong></p>

<p>The objective of the proposed research is to perform robust low-power mixed-signal computation for real time applications. The need for real time processing creates a strong drive for investigating and developing methods and system architectures which reduces the power consumption and compute locally near the sensor node. Analog computation has shown promising results in the space by significantly reducing the power consumption by processing the signal in analog without having to convert it into digital domain. Further, by adding programmability and configurability to analog, the effects of process, voltage and temperature variations could be reduced significantly.</p>
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