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※ Research topic
※ Research topic
Data-Driven Modeling (Surrogate Model Generation)
AI-Based Design Optimization
Physics-Informed Neural Networks (PINNs)
Engineering Application of Large Language Model (LLM)
Engineering Optimization
Structural Optimization (Topology, shape, and size optimizations)
Reliability-Based Design Optimization (RBDO)
Engineering Applications of Matrix Computation
Mobility System
Professional experience
Post Doc.
Korea Advanced Institute of Science and Technology (KAIST) (Aug. 2025 ~ )
PRISM-AI Center (Platform for Real-world Innovation in Smart Manufacturing and AI)
(AI기반 지능형 설계-제조 통합 연구단)
Advisor: Prof. Ikjin Lee (KAIST) & Prof. Seunghwa Ryu (KAIST)
Post Doc.
Korea Advanced Institute of Science and Technology (KAIST) (Sep. 2023 ~ Jul. 2025)
Mechanical Engineering Research Institute (기계기술연구소)
Advisor: Prof. Ikjin Lee (KAIST)
Education
Ph.D.
Korea Advanced Institute of Science and Technology (KAIST) (Mar. 2019 ~ Aug. 2023)
Department of Mechanical Engineering
Dissertation: A study on advanced surrogate model-based optimization using auxiliary information
Advisor: Prof. Ikjin Lee (KAIST)
M.S.
Korea Advanced Institute of Science and Technology (KAIST) (Mar. 2017 ~ Feb. 2019)
Department of Mechanical Engineering
Advisor: Prof. Byung-Chai Lee (KAIST)
B.S.
Pusan National University (PNU) (Mar. 2011 ~ Feb. 2017)
School of Mechanical Engineering
Received National Science & Technology Scholarship for all semesters
Funding & Support
Supported by InnoCORE PRISM-AI center
Period: Aug. 2025 ~ Jul. 2026 (1 year)
Total funding: KRW 90,000,000 + α
Supported by BK21 FOUR Program of Korea
Period: Mar. 2024 ~ Feb. 2025 (1 year)
Total funding: KRW 36,000,000
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