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  <title><![CDATA[ECE and SCS Duo Earns 2023 Qualcomm Innovation Fellowship]]></title>
  <body><![CDATA[<p>A team of Ph.D. candidates from Georgia Tech’s&nbsp;<a href="https://ece.gatech.edu/">School of Electrical and Computer Engineering</a>&nbsp;(ECE) and the&nbsp;<a href="https://scs.gatech.edu/">School of Computer Science</a>&nbsp;(SCS) have been awarded a&nbsp;<a href="https://www.qualcomm.com/research/university-relations/innovation-fellowship/2023-north-america">2023 North America Qualcomm Innovation Fellowship</a>&nbsp;(QIF).</p>

<p>The winners, Payman Behnam and Jianming Tong, were awarded the fellowship for their project, “SUSHI: Model-System-Accelerator Co-Design for Real-Time Latency/Accuracy Navigation in Edge Applications.”</p>

<p>The research enables running machine learning (ML) models for interactive, real-time applications with greater accuracy, better responsiveness, and less energy spent. Specifically, the novel approach will enable a creation of family of ML models on a pareto-optimal curve for accuracy and runtime latency, and co-design schedulers and hardware to enable deployment of diverse models depending on the application demands and hardware availability.</p>

<p>The project will expand on the&nbsp;<a href="https://proceedings.mlsys.org/paper_files/paper/2023/hash/0e65cd5d77a5e8b2d1f9ab31ba50b49b-Abstract-mlsys2023.html">recent research published</a>&nbsp;at the International Conference on Machine Learning Systems 2023&nbsp;by Behnam, Tong,&nbsp;Associate Professor&nbsp;<a href="https://tusharkrishna.ece.gatech.edu/">Tushar Krishna</a>, and&nbsp;Assistant Professor&nbsp;<a href="https://faculty.cc.gatech.edu/~atumanov/">Alexey Tumanov</a>.</p>

<p>The QIF program invests in Ph.D. students across a broad range of technical research areas. As part of the award, Behnam and Tong will receive a one-year fellowship, during which they will be guided and mentored by experienced Qualcomm engineers, synergistically amplifying the success of their proposed research.</p>

<p>Behnam, a Ph.D. candidate in ECE, is advised by&nbsp;<a href="https://faculty.cc.gatech.edu/~atumanov/">Tumanov</a>&nbsp;in SCS, while Tong, a Ph.D. candidate in SCS, is advised by&nbsp;<a href="https://tusharkrishna.ece.gatech.edu/">Krishna</a>&nbsp;in ECE.</p>

<p>Notably, Tumanov was himself a QIF finalist in 2014, while&nbsp;<a href="https://ece.gatech.edu/news/2022/11/krishna-raychowdhury-win-qualcomm-faculty-awards">Krishna was honored with a Qualcomm Faculty Award</a>&nbsp;in 2021.</p>

<p>Behnam and Tong are the only Georgia Tech team to win a QIF this year, and the first team comprised solely of Georgia Tech Ph.D. candidates to&nbsp;<a href="https://ece.gatech.edu/news/2023/03/crafton-chang-tapped-qualcomm-innovation-fellowship">receive the fellowship since 2019</a>.</p>

<p>Last year, ECE Ph.D. candidate Rishov Sarkar, advised by Assistant Professor Cong (Callie) Hao in ECE,&nbsp;<a href="https://ece.gatech.edu/news/2022/09/sarkar-awarded-qualcomm-innovation-fellowship">collaborated with Zhiwen Fan from the University of Texas-Austin</a>&nbsp;to win a QIF.</p>

<p>Qualcomm Research’s top engineers carefully review submitted proposals and select the QIF finalist through a multi-stage process spanning at least 6 months, who are then invited to present their proposals to a panel of executive judges. The QIF program has experienced continued growth with over 100 proposals submitted each year in the U.S. and internationally, and has awarded over $15 million since it started in 2009 at Qualcomm’s Research Center in Silicon Valley, Cali.</p>

<p>&nbsp;</p>

<p><em>Header image caption:</em>&nbsp;Qualcomm Innovation Fellowship&nbsp;recipients&nbsp;Payman Behnam (left) and Jianming Tong.</p>
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      <value>2023-08-10T00:00:00-04:00</value>
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      <value><![CDATA[Ph.D. candidates Payman Behnam and Jianming Tong recognized for machine learning research on enhanced navigation capabilities of edge applications.]]></value>
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      <value><![CDATA[<p><span><span><span><span><span><span><span>The QIF program invests in Ph.D. students across a broad range of technical research areas. As part of the award, Behnam and <a>Tong </a>will receive a one-year fellowship, during which they will be guided and mentored by experienced Qualcomm engineers, synergistically amplifying the success of their proposed research.</span></span></span></span></span></span></span></p>
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            <title><![CDATA[Qualcomm Innovation Fellowship_Behnam and Tong2.jpg]]></title>
            <body><![CDATA[<p><span><span><span><span><span><span><span>Georgia Tech Ph.D cand Payman Behnam and Jianming <a>Ton</a>g, were awarded the fellowship for their project, “SUSHI: Model-System-Accelerator Co-Design for Real-Time Latency/Accuracy Navigation in Edge Applications.”</span></span></span></span></span></span></span></p>
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                  <image_alt><![CDATA[Photo graphic of Georgia Tech Ph.D cand Payman Behnam and Jianming Ton.]]></image_alt>
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