<node id="671196">
  <nid>671196</nid>
  <type>event</type>
  <uid>
    <user id="28475"><![CDATA[28475]]></user>
  </uid>
  <created>1700587357</created>
  <changed>1700587397</changed>
  <title><![CDATA[Ph.D. Dissertation Defense - Nael Mizanur Rahman]]></title>
  <body><![CDATA[<p><span><span><strong><span>Title</span></strong><em><span>:&nbsp; </span></em><em><span>Secure High Performance Compute Accelerators for Radio Frequency Signal Processing</span></em></span></span></p>

<p><span><span><strong><span>Committee:</span></strong></span></span></p>

<p><span><span><span>Dr. </span><span>Saibal Mukhopadhyay, ECE, Chair</span><span>, Advisor</span></span></span></p>

<p><span><span><span>Dr. </span><span>Tushar Krishna, ECE</span></span></span></p>

<p><span><span><span>Dr. </span><span>Justin Romberg, ECE</span></span></span></p>

<p><span><span><span>Dr. </span><span>Visvesh Sathe, ECE</span></span></span></p>

<p><span><span><span>Dr. </span><span>Yingyan (Celine) Lin,CoC</span></span></span></p>
]]></body>
  <field_summary_sentence>
    <item>
      <value><![CDATA[Secure High Performance Compute Accelerators for Radio Frequency Signal Processing ]]></value>
    </item>
  </field_summary_sentence>
  <field_summary>
    <item>
      <value><![CDATA[<p>This thesis is centered on the design of high-throughput compute accelerators, with a specific focus on applications in secure encryption, high-bandwidth RF emulation, and Multiple Input Multiple Output (MIMO) digital RF beamforming. We begin by proposing security-aware pipelining techniques that use algorithmic key diffusion to enhance the throughput of PRINCE encryption accelerators while maintaining robustness against side-channel attacks. This approach is crucial for securing high-bandwidth data transmission. Additionally, we introduce a custom lightweight power supply sensor that enables the detection of power side-channel attacks on encryption engines with minimal hardware overheads, further bolstering the security of these systems. Next, we present a near-memory digital compute accelerator for real-time emulation of RF interactions. This architecture allows for the simulation of complex RF interactions within dynamic environments, incorporating various physical phenomena. Lastly, we present a Compute-In-Memory based digital beamforming accelerator. This design confronts the core challenges of scalability and energy efficiency in large-scale MIMO RX digital beamformers. It achieves substantial power savings compared to traditional beamforming architectures while minimally impacting beam accuracy.</p>
]]></value>
    </item>
  </field_summary>
  <field_time>
    <item>
      <value><![CDATA[2023-11-29T09:15:00-05:00]]></value>
      <value2><![CDATA[2023-11-29T11:15:00-05:00]]></value2>
      <rrule><![CDATA[]]></rrule>
      <timezone><![CDATA[America/New_York]]></timezone>
    </item>
  </field_time>
  <field_fee>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_fee>
  <field_extras>
      </field_extras>
  <field_audience>
          <item>
        <value><![CDATA[Public]]></value>
      </item>
      </field_audience>
  <field_media>
      </field_media>
  <field_contact>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_contact>
  <field_location>
    <item>
      <value><![CDATA[Room 1120A, Klaus]]></value>
    </item>
  </field_location>
  <field_sidebar>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_sidebar>
  <field_phone>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_phone>
  <field_url>
    <item>
      <url><![CDATA[]]></url>
      <title><![CDATA[]]></title>
            <attributes><![CDATA[]]></attributes>
    </item>
  </field_url>
  <field_email>
    <item>
      <email><![CDATA[]]></email>
    </item>
  </field_email>
  <field_boilerplate>
    <item>
      <nid><![CDATA[]]></nid>
    </item>
  </field_boilerplate>
  <links_related>
          <item>
        <url>https://teams.microsoft.com/l/meetup-join/19%3ameeting_Y2IzZTk3ZGUtYTE4Ni00NmM4LWE1M2QtMjI3NWVhNjA4NGU2%40thread.v2/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22cd441342-90f4-4f0f-9556-3e7921572ba8%22%7d</url>
        <link_title><![CDATA[Microsoft Teams Meeting link]]></link_title>
      </item>
      </links_related>
  <files>
      </files>
  <og_groups>
          <item>434381</item>
      </og_groups>
  <og_groups_both>
          <item><![CDATA[ECE Ph.D. Dissertation Defenses]]></item>
      </og_groups_both>
  <field_categories>
          <item>
        <tid>1788</tid>
        <value><![CDATA[Other/Miscellaneous]]></value>
      </item>
      </field_categories>
  <field_keywords>
          <item>
        <tid>100811</tid>
        <value><![CDATA[Phd Defense]]></value>
      </item>
          <item>
        <tid>1808</tid>
        <value><![CDATA[graduate students]]></value>
      </item>
      </field_keywords>
  <userdata><![CDATA[]]></userdata>
</node>
