New Member
Sponsored Project
Our lab has been selected for a research project funded by the National Research Foundation of Korea (한국연구재단), titled “Development of Q-PINN-based Dark Factory Core Technology for Real-time Virtual Metrology and Autonomous Control in Semiconductor Fabrication Processes.” The project aims to develop Q-PINN-based technologies for real-time virtual metrology and autonomous control in semiconductor manufacturing.
Best Paper Award
Congratulations to Seungjun Chu (추승준) on receiving the Best Paper Award at the 2026 Korean Society of Supply Chain Management Conference for the paper, “A Satellite Image-Based Framework for Digitizing Port Yard States and Evaluating Spatial Operational Decisions.”
New Member
Thrilled to welcome Dr. Seongyoon Kim (김성윤) as a new Postdoctoral Researcher in our team! Dr. Kim's research focuses on personalized reward modeling through the lens of federated learning, with interests spanning personalized AI, distributed learning, and meta-learning.
New Member
Excited to welcome Seonho Yoo (유선호) as a new member of our team! We look forward to his contributions and all the great things we will accomplish together.
Sponsored Project
We are thrilled to share that our lab has been awarded the Excellent Early-Career Research Grant (우수신진연구) from the National Research Foundation (한국연구재단). In this project we aim to develop an intelligent industrial safety AI framework that integrates wearable sensors and computer vision to assess ergonomic risks in real time and provide workers with actionable, natural-language feedback to support safer operations in high-risk industries.
New Member
Excited to welcome a new member 조유이 joining our team as an integrated MS-PhD student! See all the great things we'll accomplish.
New Member
Excited to welcome our three new undergrad intern students 박준서, 추승준, 이상형 to the lab!
Paper acceptance
Our paper "Fed-Joint: Joint Modeling of Non-parametric Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning" with Dr. Cheoljoon Jeong (Clemson University) and Dr Xubo Yue (Northeastern University) has been accepted at Reliability Engineering & System Safety!
Paper acceptance
Our paper "Fairness in Machine Learning-Based Hand Load Estimation: A Case Study on Load Carriage Tasks" with Arafat Rahman (University of Virginia) and Dr Sol Lim (Virginia Tech) has been accepted at Applied Ergonomics!
Paper acceptance