Seohyun Kim (김서현)
Ph.D. candidate, School of EE, KAIST
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- Email
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location291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
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OfficeSchool of Electrical Engineering (E3-2), 5219
Education
- KAIST, School of Electrical Engineering Ph.D. (Sep. 2025 – Present)
- KAIST, School of Electrical Engineering M.S. (Mar. 2024 – Aug. 2025)
- KAIST, School of Electrical Engineering B.S. (Mar. 2019 – Feb. 2024)
- Pohang Jecheol High School (Mar. 2016 – Feb. 2019)
Research Interests
Honors
- ISE President Best Paper Award @ 2024 Int’l SoC Design Conf. (ISOCC)
Honors
Experiences
- Internship @ Samsung Electronics (Jan. 2021 – Feb. 2021)
Publications
Journal Papers
- Seohyun Kim, Shilong Zhang, and Youngsoo Shin, “ML-guided curvilinear OPC: fast, accurate, and manufacturable curve correction,” IEEE Transactions on Semiconductor Manufacturing, vol. 38, no. 1, pp. 19-28, Feb. 2025.
Conference Papers
- Shilong Zhang, Seohyun Kim, and Youngsoo Shin, “Fast and accurate matrix-OPC with MEEF prediction using Kolmogorov-Arnold network,” Proc. SPIE Advanced Lithography, submitted.
- Seohyun Kim, Gangmin Cho, Shilong Zhang, and Youngsoo Shin, “Fast and accurate curvilinear OPC with ML-guided curve correction,” Proc. Int’l SoC Design Conf. (ISOCC), Aug. 2024. (ISE President Best Paper Award)
- Gangmin Cho, Taeyoung Kim, Seohyun Kim, and Youngsoo Shin, “A fast and accurate PEB simulation through recurrent neural network,” Proc. SPIE Advanced Lithography, Feb. 2024.