Sukheon Kang

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honey_ksh(at)kaist.ac.kr
3rd year, Ph.D.
KAIST
Daejeon, Republic of Korea

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Hello! I am Sukheon Kang


Portfolio


Research Field [Go Into LAB]

✓ Architected Materials and Mechanical Metamaterials

✓ Transformative Morphing Structures

✓ AI-based Modeling for Applications in Biomedical, Aerospace, Energy Harvesting, Energy Absorption, etc.


Education

KAIST, Ph.D., Graduate school of MECH, Feb 2024 - Present

KAIST, M.S., Graduate school of MECH, Feb 2022 - Feb 2024

HANYANG University, B.S., Mechanical Engineering, Mar 2018 - Dec 2021

  GPA Rank Score
Cumulative 4.32 3/242 97.9

Honors and Awards

Summa Cum Laude, Hanyang University, Feb. 2022

Hanyang Academic Excellence Award, Hanyang University, Oct. 2021

Hanyang Academic Highest Excellence Award, Hanyang University, Apr. 2021

Hanyang Academic Excellence Award, Hanyang University, Apr. 2019


Scholarships

National Outstanding Scholarship for Science and Engineering, Ministry of Science and ICT (administered by Korea Student Aid Foundation, KOSAF), Aug. 2020


International Journal

Songho Lee†, Sangwoo Jung†, Sukheon Kang, Jun Kyu Choe, and Seunghwa Ryu*, “Parametric Physics-Informed Neural Network for Forward Analysis and Inverse Design of Wire-Braided Tube Actuators”, submitted.

Chanhee An, Sukheon Kang, Hyeonbin Moon, Wonjin Choi, Gyu-Han Lee, Hongmin Oh, Dong Hyun Yang, Seunghwa Ryu, Doosang Kim, Simon Song, and Hyun Jin Kim*, “Stress-to-Strength Ratio for Assessing Rupture Risk in Abdominal Aortic Aneurysms: A Computational Study”, submitted.

Sukheon Kang, Sukkyung Kang, Sanha Kim*, and Seunghwa Ryu*, “Data-Free Physics-Informed Inverse Programming of Bistable Kirigami Energy Landscapes”, Materials Horizons, 13, 9028-9041, 2026. [Link to paper] [Cover image] [News]

Songho Lee†, Sukheon Kang†, Jisoo Nam, Jecheon Yu, Miso Kim, and Seunghwa Ryu*, “Inverse design of thermally active composite via policy-transferred reinforcement learning”, Materials Horizons, 13, 6500-6516, 2026. [Link to paper]

Sukheon Kang, Youngkwon Kim, Jinkyu Yang*, and Seunghwa Ryu*, “Physics-informed neural networks for programmable origami metamaterials with controlled deployment”, Materials Horizons, 12, 10641-10655, 2025. [Link to paper] [Cover image] [News]

Sukheon Kang, Hyeonbin Moon, Seonho Shin, Mahmoud Mousavi, Hyokyung Sung*, and Seunghwa Ryu*, “Design of Auxetic Metamaterial for Enhanced Low Cycle Fatigue Life and Negative Poisson’s ratio through Multi-objective Bayesian Optimization”, Materials & Design, 252, 113798, 2025. [Link to paper] [Cover image] [News]

Sukheon Kang†, Hyunggwi Song†, Hyun Seok Kang, Byeong-Soo Bae, and Seunghwa Ryu*, “Customizable Metamaterial Design for Desired Strain-Dependent Poisson’s Ratio Using Constrained Generative Inverse Design Network”, Materials & Design, 247, 113377, 2024. [Link to paper]

Junheui Jo†, Minwoo Park†, Sukheon Kang†, Hugon Lee†, Chang-Yeon Gu, Taek-Soo Kim, and Seunghwa Ryu* “Data-driven prediction of strain fields in auxetic structures and non-contact validation with Mechanoluminescence for structural health monitoring”, International Journal of AI for Materials and Design, 1(2), 48-60, 2024. [Link to paper] [Cover image] [award]


International Conference

Sukheon Kang, Youngkwon Kim, Jinkyu Yang, and Seunghwa Ryu “Physics-Informed Inverse Design of Multistable Origami with Programmable Energy Barriers”, 17th World Congress on Computational Mechanics (WCCM) & 10th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), 2026.

Chanhee An, Wonjin Choi, Sukheon Kang, Seunghwa Ryu, Hyun Jin Kim et al., “Incremental Value of CFD: RIsk Prediction of Abdominal Aortic Aneurysm using Fluid-Solid Interaction”, The 18th Congress of Asian Society of Cardiovascular Imaging, 2025.

Junheui Jo, Songho Lee, Sukheon Kang, and Seunghwa Ryu, “Investigation of Digital Light Printing process parameter based experimental data using simulation”, Proceedings of the 2nd International Conference on Design for 3D Printing (ICD3DP), Oct. 2023.

Jinwook Yeo, Sukheon Kang, Minwoo Park, and Seunghwa Ryu, “Deep Learning-Based Optimization, 3D printing, and Testing of Adhesive Pillar Shape with Directionality”, The 7th International Conference on Electronic Materials and Nanotechnology for Green Environment (ENGE), Nov. 2022.


Domestic Conference

Sukheon Kang, Youngkwon Kim, Jinkyu Yang, and Seunghwa Ryu, “Physics-Informed Programming of Energy Landscapes in Mechanical Metamaterials”, Korea Society of Mechanical Engineers (KSME) CAE and Applied Mechanics Spring Conference, 2026.

Sukheon Kang, Hyunggwi Song, Hyun Seok Kang, Byeong-Soo Bae, and Seunghwa Ryu, “A Constrained Generative Approach for Designing Metamaterials with Targeted Strain-Dependent Poisson’s Ratio”, Korea Society of Mechanical Engineers (KSME) CAE and Applied Mechanics Spring Conference, 2025.

Songho Lee, Sukheon Kang, Jecheon Yu, Jihye Shin, and Seunghwa Ryu, “4D Thermal Active Composite Design using Reinforcement Learning”, Korea Society of Mechanical Engineers (KSME) CAE and Applied Mechanics Spring Conference, 2025.

Chanhee An, Wonjin Choi, Sukheon Kang, Seunghwa Ryu, Hyun Jin Kim et al., “Rupture risk assessment of abdominal aortic aneurysms using biomechanical, geometric, and physiological conditions”, 2025 Fall Conference of The Korean Society of Visualization (KSV), 2025

Chanhee An, Wonjin Choi, Sukheon Kang, Seunghwa Ryu, Hyun Jin Kim et al., “Rupture risk identification of abdominal aortic aneurysms using hemodynamic and biomechanical parameters”, Biomedical Engineering Society for Circulation Organization(BESCO), 2025.

Sukheon Kang, Hyunggwi Song, Hyun Seok Kang, Byeong-Soo Bae, and Seunghwa Ryu, “Inverse Design of Soft Metamaterials for Tunable Poisson’s Ratio Based on Strain Response”, Korea Society of Mechanical Engineers (KSME) Headquarters Academic Conference Fall Conference, 2024.

Sukheon Kang, Hyunbin Moon, Hyokyung Sung, and Seunghwa Ryu, “Data-driven approaches to optimize metastructure design for superior efficiency and performance”, Korea Society of Mechanical Engineers (KSME) CAE and Applied Mechanics Spring Conference, 2024.

Sukheon Kang, and Seunghwa Ryu, “Data-driven Optimization for Improved Auxetic Metamaterial Designs”, Korea Multisacle Mechanics Society (KMSM) Symposium, 2023.

Sukheon Kang, Hyunbin Moon, Jinwook Yeo, Kundo Park, Jecheon Yu, and Seunghwa Ryu, “Design of auxetic metamaterials for Improved low cycle fatigue life and Poisson’s ratio using data-driven optimization”, Korea Society of Mechanical Engineers (KSME) CAE and Applied Mechanics Spring Conference, 2023.

Kundo Park, Junhyeong Lee, Sukheon Kang, Flavia Libonati, and Seunghwa Ryu, “3 channel tensile test for a fast estimation of fatigue strength of composite laminates”, Korea Society of Mechanical Engineers (KSME) Reliability Engineering Spring Conference, 2023.

Kundo Park, Youngsoo Kim, Minki Kim, Chihyeon Song, Sukheon Kang, Jinkyoo Park, and Seunghwa Ryu, “Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization”, Korea Society of Mechanical Engineers (KSME) CAE and Applied Mechanics Spring Conference, 2022.


Teaching Experience

Teaching Assistant

Mentoring and Tutoring


Leadership

Laboratory Student Representative, Prof. Seunghwa Ryu’s Group, KAIST Led a team of 28 researchers (Ph.D. and M.S. students), Jan 2025 – Dec 2025

Department Student Representative, Tsinghua–KAIST Joint Workshop on AI-Driven Mechanical Engineering Education & Research Frontiers, Tsinghua University, Beijing, China, May 2026. [Link1] [Link2]

Department Student Representative, Zhejiang–KAIST Joint Workshop on AI-Driven Mechanical Engineering Education & Research Frontiers, KAIST, Daejeon, Korea, Aug 2026. [Link1]