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    <title>reram | SKKU IRIS Lab</title>
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    <description>reram</description>
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      <title>reram</title>
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      <title>Excellence Award at the SKKU Graduate Student Paper Competition (Researcher: Hyeonsu Bang)</title>
      <link>https://iris-lab.skku.edu/post/award_skku_graduate/</link>
      <pubDate>Wed, 10 Dec 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;IRIS 연구실 박사과정 방현수 연구원이 2025년 SKKU 대학원생 논문대상에서 우수상을 수상했습니다.&lt;/p&gt;
&lt;p&gt;수상 논문의 제목은 “Overhead-Free Weight Remapping for Efficient Fault Tolerance in MLC ReRAM Arrays” 로, MLC ReRAM 기반 AI 가속기의 신뢰성과 효율성을 동시에 확보할 수 있는 새로운 결함 내성 기법을 제안한 연구입니다.&lt;/p&gt;
&lt;p&gt;이번 수상은 메모리 기반 컴퓨팅 구조에서의 신뢰성 향상에 대한 연구의 우수성과 잠재력을 인정받은 결과로, 향후 관련 분야 연구 발전에도 의미 있는 기여를 할 것으로 기대됩니다.&lt;/p&gt;
&lt;p&gt;현재 해당 연구는 저널에 under review 상태이며, 방현수 연구원은 앞으로도 메모리 기반 AI 컴퓨팅의 실용화와 고도화를 위한 연구를 지속할 계획입니다.&lt;/p&gt;
&lt;p&gt;Our Ph.D. student Hyeonsu Bang has received the Excellence Award at the 2025 SKKU Graduate Student Paper Competition.&lt;/p&gt;
&lt;p&gt;His award-winning paper, titled “Overhead-Free Weight Remapping for Efficient Fault Tolerance in MLC ReRAM Arrays,” proposes a novel fault-tolerance scheme that enhances both reliability and efficiency in ReRAM–based AI accelerator.&lt;/p&gt;
&lt;p&gt;This award recognizes the significance and potential impact of his research in advancing high-reliability, memory-centric computing architectures. It also highlights the contribution his work is expected to make to future developments in the field.&lt;/p&gt;
&lt;p&gt;The paper is currently under review in a journal, and he plans to continue pursuing research aimed at further advancing and practicalizing memory-based AI computing.&lt;/p&gt;
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