Junhyoeng Lee

Hi, I am Junhyeong Lee (이준형)

E-mail: jhl8831@kaist.ac.kr

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Education

Korea Advanced Institute of Science and Technology (KAIST), S. Korea

Ph.D. Candidate in Mechanical Engineering, (Sep. ‘22 – Present)

Advisor: Prof. Seunghwa Ryu

Korea Advanced Institute of Science and Technology (KAIST), S. Korea

Research Assistance in Mechanical Engineering, (Mar. ‘22 – Aug. ‘22)

Advisor: Prof. Seunghwa Ryu

Korea Advanced Institute of Science and Technology (KAIST), S. Korea

M.S. Candidate in Mechanical Engineering, (Mar. ‘20 – Feb. ‘22)

Advisor: Prof. Seunghwa Ryu

Daegu Gyeongbuk Institute of Science and Technology (DGIST), S. Korea

B.Eng. Convergence Engineering, Summa Cum Laude (Mar.’15 –Feb.’19)

Publication

2025

(In submission)

14 Moon, H., Lee, J., Yu, J. & Ryu, S. Physics-Informed AI for Material Characterization: A Perspective on Data-Efficient Discovery through Physics-Informed Neural Network, submitted.

13 Kim, J.+, Lee, S.+, Yu, J., Lee, J., & Ryu, S. Federated Learning Framework for Data-Sovereign Quality Prediction in Injection Molding. Submitted

12 Cho, H., Yu, J., Moon, H., Yoon, J., Lee, J.,  Kim, G., Park, J., & Ryu, S. Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks. Submitted

11 Lee, S.+, Lee, J., Park, D., Lee, S., Lee, K.*, Kim, H.*, & Ryu, S.* Reducing False Negatives in Gastroesophageal Reflux Disease Diagnosis Through Multi-Feature Anomaly Detection of pH-Impedance Signals. Submitted 

(Published / Accepted)

10 Lee, J.+, Kim, J.+, Kim, H.+, Lee, I., & Ryu, S.* (2025). IM-Chat: A Multi-agent LLM-based Framework for Knowledge Transfer in Injection Molding Industry. Journal of Manufacturing Systems, Accepted.

9 Lee, H.+, Moon, H.+, Lee, J.+, & Ryu, S.* (2025). Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy. Advanced Intelligent Discovery, Accepted

8 Kang, H.+, Lee, J.+, Lee, S., Jeon, J., Mun, C., Yang, J., Kwon, H., Lee, I., Kim, S., Lim, E., Jung, J., Jung, Y.*, Park, S.*, Ryu, S.*, & Kang, T.* (2025). Interpretability-Driven Deep Learning for SERS-based Classification of Respiratory Viruses. Biosensors and Bioelectronics, 117891.

7 Yoon, J. +, Lee, J.+, Ryu, S.*, & Park, J.* (2025). Enhanced  Energy Harvesting in Rotary Triboelectric Nanogenerators via Gaussian Process Regression-Based Bayesian Optimization. Nano Energy, 135, 110653.

2024

6 Kang, H.+, Lee, J.+, Moon, J.+, Lee, T.+, Lim, E., Jung, J., Jung, Y., Lee, S., Lee, K.*, Ryu, S.*, & Kang, T.* (2024). Multiplex detection of foodborne pathogens using 3D nanostructure swab and deep learning-based classification Raman spectra. Small, 20(35), 2308317. (front cover)

5 Lee, J.+, Park, K., Park, K., Kim, Y., Kim, J.*, & Ryu, S.* (2024). Electrode Placement Optimization for Electrical Impedance Tomography using Active Learning. Advanced Engineering Materials, 26(11), 2301865. (invited)

2023

4 Lee, J.+, Park, D., Lee, M., Lee, H., Park, K., Lee, I., & Ryu, S.* (2023). Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review. Materials Horizons, 10, 5436-5456.

2022

3 Yoon, J.+, Lee, J.+, Kim, G., Ryu, S.*, & Park, J.* (2022). Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors. Scientific Reports, 12(1), 20204.

2021

2 Park, K., Lee, J., & Ryu, S.* (2021). Damage detection of composite materials via IR thermography and electrical resistance measurement: A review. Structural Engineering and Mechanics, 80(5), 563-583.

2020

1 Lim, S. H.+, Sohn, S. W.+, Lee, H., Choi, D., Jang, E., Kim, M., Lee, J., & Park, S.* (2020). Analysis and evaluation of path planning algorithms for autonomous driving of electromagnetically actuated microrobot. International Journal of Control, Automation and Systems, 18, 2943-2954.