About
👨🏻🚀 Sanghyuk Kim, Ph.D. Candidate
Sanghyuk Kim is a Ph.D. Candidate in the Department of Mechanical Engineering from KAIST in Daejeon, Korea. He received his B.S. and M.S. in Automotive Engineering from Hanyang University (HYU) in Seoul, Korea, in 2021 and 2023, respectively. His research interests include scientific machine learning, physics-guided AI, data-driven design, design for additive manufacturing, design optimization, and optimization algorithms.
Education
Doctor of Philosophy in Mechanical Engineering, KAIST, Daejeon, Korea, 2023-Present
- Advisor: Prof. Namwoo Kang
Master of Science in Automotive Engineering, Hanyang University, Seoul, Korea, 2023
- Thesis: Projected Variable Three-Term Conjugate Gradient Algorithm for Enhancing Generalization Performance in Artificial Neural Network Training
- Advisor: Prof. Tae Hee Lee
- Committee: Prof. Kunsoo Huh, Prof. Seungjae Min
Bachelor of Science in Automotive Engineering, Hanyang University, Seoul, Korea, 2021
- Cum Laude
- Advisor: Prof. Tae Hee Lee
Teaching Experience
Teaching Assistant, Additive Manufacturing, KAIST, Fall 2026
Teaching Assistant, Programming to Solve Mechanical Engineering Problems, KAIST, Spring 2024 – Fall 2025
🏆 Honors & Awards
Outstanding Paper Award, 2025 Applied Artificial Intelligence Conference (AAiCON), July 2025, Daejeon
Outstanding Paper Award, KSME CAE & Applied Mechanics Division 2022 Spring Conference, May 2023
Cum Laude, Hanyang University, Seoul, Korea, February 2021