Faculty Research Profile
Kyung Seok Woo
학력
∙ 2022: Ph.D., Materials Science and Engineering, Seoul National University
∙ 2017: B.S., Materials Science and Engineering, KAIST
주요 경력
∙ 2025~present: Assistant Professor, UNIST
∙ 2023~2025: Postdoctoral Researcher, Materials Physics, Sandia National Laboratories
∙ 2023~2025: Postdoctoral Researcher, Advanced Light Source, Lawrence Berkeley National Laboratory
∙ 2023~2025: Postdoctoral Researcher, Electrical and Computer Engineering, Texas A&M University
∙ 2023: Postdoctoral Researcher, Inter-university Semiconductor Research Center
∙ 2022~2023: Staff Engineer, Semiconductor R&D Center, Samsung Electronics
수상/학회/외부활동
∙ 2025: MRS Bulletin Award, Materials Research Society
∙ 2024-2025: Advanced Light Source Postdoctoral Fellowship, Lawrence Berkeley National Laboratory
∙ 2023: Doyeon Research Award, Inter-university Semiconductor Research Center (ISRC), Seoul National University
∙ 2022: SSSP Fellowship, Samsung Electronics & Seoul National University
차세대 반도체 기술 연구실
Emerging Semiconductor Technology Laboratory
차세대 반도체 기술 연구실(ESTL)은 차세대 반도체 소재/소자 및 컴퓨팅 시스템 연구에 중점을 두고 있습니다. 새로운 컴퓨팅 패러다임(뉴로모픽 컴퓨팅, 인메모리 컴퓨팅, 확률 컴퓨팅 등)을 실현하기 위해, 신소재, 소자 구조, 스위칭 메커니즘, 컴퓨팅 시스템 연구를 종합적으로 수행하고 있습니다.
The Emerging Semiconductor Technology Laboratory (ESTL) focuses on developing next-generation semiconductor materials/devices and computing systems. We explore novel materials, device architectures, switching mechanisms, and system-level designs to enable new computing paradigms (neuromorphic computing, in-memory computing, probabilistic computing, etc.).
The Emerging Semiconductor Technology Laboratory (ESTL) focuses on developing next-generation semiconductor materials/devices and computing systems. We explore novel materials, device architectures, switching mechanisms, and system-level designs to enable new computing paradigms (neuromorphic computing, in-memory computing, probabilistic computing, etc.).
연구분야
차세대 반도체 재료 및 소자, 차세대 컴퓨팅 시스템 (뉴로모픽 컴퓨팅, 인메모리 컴퓨팅, 확률 컴퓨팅 등) / Emerging semiconductor materials and devices, emerging computing systems
Emerging semiconductor materials and devices, emerging computing systems (neuromorphic computing, in-memory computing, probabilistic computing, etc.)
연구주제
차세대 반도체 재료 및 소자, 차세대 컴퓨팅 시스템 (뉴로모픽 컴퓨팅, 인메모리 컴퓨팅, 확률 컴퓨팅 등), 나노전자소자
Emerging semiconductor materials and devices, emerging computing systems (neuromorphic computing, in-memory computing, probabilistic computing, etc.), nanoelectronics
Emerging semiconductor materials and devices, emerging computing systems (neuromorphic computing, in-memory computing, probabilistic computing, etc.), nanoelectronics
국가연구개발사업 기술 분류체계
국가과학기술표준분류
ED. 전기/전자 > ED04. 반도체소자·시스템 > ED0405. 반도체 재료
논문
∙ Localized Conduction Channels in Memristors. Chemical Reviews, 125, 294-325 (2025)
∙ Role of Heat in Post-Silicon Electronics. Applied Physics Reviews, 12, 031323 (2025)
∙ True random number generation using the spin crossover in LaCoO3. Nature Communications, 15, 4656 (2024)
∙ Tunable stochastic memristors for energy-efficient encryption and computing. Nature Communications, 15, 3245 (2024)
∙ Memristors with Tunable Volatility for Reconfigurable Neuromorphic Computing. ACS Nano, 18, 17007-170
∙ Heterogeneous reservoir computing in second-order memristors. Nanoscale Horizons, 9, 427-437 (2024)
∙ Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors. Nature Communications, 13, 5762 (2022)