BS. from EE, POSTECH, Pohang (Mar. 2017 - Aug. 2021)
Conference Paper
Jinoh Cho, Jinmo Ahn, Jakang Lee, Jaeseung Lee, Seonghyeon Park and Seokhyeong Kang, “Differentiable Fill Insertion with Explicit Delay Optimization”, in ACM/IEEE Design Automation Conference (DAC), 2026.
Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Yiting Liu, Davit Makarian, Seonghyeon Park and Zhiang Wang, “Invited: Post-Placement Buffering and Sizing Contest”, in ACM/IEEE Symposium on Physical Design (ISPD), 2026.
Hyeonwoo Park, Seonghyeon Park and Seokhyeong Kang, “Late Breaking Results: Fine‐Tuning LLMs for Test Stimuli Generation”, in ACM/IEEE Design Automation Conference (DAC), 2025.
JoonSeok Kim*, Donggyu Kim*, Seonghyeon Park and Seokhyeong Kang, “FedEDA: Federated Learning Framework for Privacy‐Preserving Machine Learning in EDA”, in ACM/IEEE Design Automation Conference (DAC), 2025.
Kyungjun Min*, Seonghyeon Park*, Hyeonwoo Park, Jinoh Cho and Seokhyeong Kang, “Improving LLM‐based Verilog Code Generation with Data Augmentation and RL”, in IEEE/ACM Design, Automation and Test in Europe Conference & Exhibition (DATE), 2025.
Jinoh Cho, Jaekyung Im, Jaeseung Lee, Kyungjun Min, Seonghyeon Park, Jaemin Seo, Jongho Yoon and Seokhyeong Kang, “Leveraging Machine Learning Techniques to Enhance Traditional EDA Workflows”, in IEEE/ACM Asia and South Pacific Design Automation Conference (ASP‐DAC), 2025.
Jinoh Cho, Seonghyeon Park, Jakang Lee, Sung‐Yun Lee, Jinmo Ahn and Seokhyeong Kang, “RL‐Fill: Timing‐Aware Fill Insertion Using Reinforcement Learning”, in IEEE/ACM International Conference on Computer‐Aided Design (ICCAD), 2024.
Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, Seonghyeon Park and Bodhisatta Pramanik, “PPA‐Relevant Clustering‐Driven Placement for Large‐Scale VLSI Designs”, in ACM/IEEE Design Automation Conference (DAC), 2024.
Seonghyeon Park, Daeyeon Kim and Seokhyeong Kang, “Invited: Acceleration on Physical Design: Machine Learning‐based Routability Optimization”, in ACM/IEEE International Workshop on System‐Level Interconnect Prediction (SLIP), 2023.
Seonghyeon Park, Daeyeon Kim, Seongbin Kwon, and Seokhyeong Kang, “Routability Prediction and Optimization Using Explainable AI”, in IEEE/ACM International Conference on Computer‐Aided Design (ICCAD), 2023.
Jakang Lee, Jaeseung Lee, Seonghyeon Park and Seokhyeong Kang, “Multi‐Source Transfer Learning for Design Technology Co‐Optimization”, in IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2023.
Sung‐Yun Lee, Seonghyeon Park, Daeyeon Kim, Minjae Kim, Tuyen P. Le and Seokhyeong Kang, “RL‐Legalizer: Reinforcement Learning‐based Cell Priority Optimization in Mixed‐Height Standard Cell Legalization”, in IEEE/ACM Design, Automation and Test in Europe Conference & Exhibition (DATE), 2023.
Jaeseung Lee, Jakang Lee, Seonghyeon Park and Seokhyeong Kang, “MLB: Multi‐Vth Tuning for Leakage Power Reduction via Bayesian Optimization”, in 2023 30th Korean Conference on Semiconductors (KCS), 2023.
Seonghyeon Park, Sung‐Yun Lee and Seokhyeong Kang, “Reinforcement Learning Based Detailed Placement”, in 2022 29th Korean Conference on Semiconductors (KCS), 2022.
Patents
Seokhyeong Kang, Jakang Lee, Jaeseung Lee, Hyungock Kim, Seonghyeon Park, "Integrated circuit design system for performing dtco (design technology co-optimization)", US (International), 2025.
강석형, 민경준, 박성현, 조진오, 박현우, "데이터 증강 및 강화학습을 활용하여 베릴로그 코드 생성을 위한 거대 언어 모델을 트레이닝하는 방법 및 장치", Korea (Domestic), 10-2025-0145410.
강석형, 조진오, 박성현, 이자강, 이승윤, 안진모, "모방학습 및 강화학습 기반의 타이밍을 고려하여 집적 회로를 설계하는 방법 및 장치", Korea (Domestic), 10-2025-0145475.
강석형,이자강,이재승,박성현, "설계 기술 공동 최적화를 위한 여러 소스 전이 학습 방법", Korea (Domestic), 10-2024-0065267.
Awards/Contests
Contest Organizer - ISPD26 Contest: Post-Placement Buffering and Sizing, 2026.
Best Poster Award - International SoC Deisgn Conference (ISOCC), 2024.
2nd Prize in POSTECH‐EE Excellent Research Performance Constest Pohang, Korea - POSTECH, 2023.
Invited Talk - International Workshop on System‐Level Interconnect Pathfinding (SLIP), 2023.