Agentic AI Modeling for Metal Additive Manufacturing: The current progress, challenges, and future directions
Lee, H., Jeong, J.
To be submitted
Parametric Physics-Informed Neural Networks-enabled Process Optimization for Directed Energy Deposition Metal Additive Manufacturing
Lee, H., Sakib, MN., Canacoo, S., Jeong, J.
To be submitted
Real-time Edge-Deployable Deep Learning Model for Defect Classification in Metal Additive Manufacturing
Stein, D.*, Lee, H., Jeong, J.
To be submitted
(*: Undergraduate mentee)
Toward a Multi-Material Additive Manufacturing Paradigm: A Domain Decomposition-Based PINN Framework for Thermal Modeling and Parameter Identification
Lee, H., Canacoo, S., Sakib, MN., Jeong, J.
To be submitted
Generalizable PINN Surrogates for Thermal Modeling in Metal Additive Manufacturing: Zero-Shot Prediction across Laser Paths, Process Parameters, and Materials
Lee, H., Jeong, J.
To be submitted
Advancing Physics-Informed Neural Network Surrogates for Thermal Modeling of Directed Energy Deposition Metal Additive Manufacturing
Lee, H., Sakib, MN., Canacoo, S., Jeong, J.
To be submitted
Robust Unsupervised Anomaly Detection for Additive Manufacturing under In-Situ Monitoring Data Contamination
Lee, H., Jeong, J.
Submitted to the Journal of Manufacturing Systems (JMS)
Domain-informed Adaptive Sampling for Generalizable PINNs in Metal Additive Manufacturing via Conditional Flow Matching
Lee, H., Jeong, J.
Under Review in IISE Transactions
Material-Agnostic Temperature Field Prediction in Metal Additive Manufacturing via a Parametric PINN Framework
Lee, H., Jeong, J.
Additive Manufacturing (AM) (2026): 105289.
Best Student Paper Award, Manufacturing & Design (M&D) Division, IISE Annual Conference 2026
Adaptive Batch Size Control under Progressive Process Capability Degradation Using a Nonstationary HMM Framework
Lee, H., Shin, D.
Under Review in International Journal of Production Research (IJPR)
Beyond Information Distortion: Imaging Variable-Length Time Series Data for Classification
Lee, H., Shin, D.
Sensors, 25.3 (2025): 621.
[Paper]
Domain-Informed Adaptive Sampling for PINNs in Metal Additive Manufacturing
Lee, H., Jeong, J.
INFORMS Annual Meeting 2026
Material-Agnostic Temperature Prediction in Metal Additive Manufacturing via Parametric Physics-Informed Neural Networks
Lee, H., Jeong, J.
Institute of Industrial and System Engineers (IISE) Annual 2026
Best Student Paper Award, Manufacturing & Design (M&D) Division
No More Manual Load on Data: Unsupervised, Robust, Multi-Scale Anomaly Detection of Melt Pool Monitoring Images in Metal Additive Manufacturing
Lee, H., Jeong, J.
Institute of Industrial and System Engineers (IISE) Annual 2026
An Operator Task Model for Constructing Human-in-the-loop Simulation in Manufacturing Systems
Kim, B., Kim, G., Lee, H. (Presenter), Shin, D.
15th International Conference on Internet (ICONI 2023), Ho Chi Minh, Vietnam (2023)
A Data-Driven Approach to Expert and Novice Error Analysis with POSMDP.
Lee, H., Kim, B., Kim, G., Shin, D.
Fall Academic Conference of the Korean Institute of Industrial Engineering, Ulsan, South Korea (2023).
Unsupervised Human Action Recognition via Recurring GWR Self-Organizing Map
Lee, H., Kim, B., Kim, G., Shin, D.
Spring Joint Conference of the Korean Institute of Industrial Engineering, Jeju, South Korea (2023).
A Framework for Assessing Operator’s Proficiency in Manufacturing Tasks Based on Manufacturing Activities Data
Lee, H., Kim, B., J. Lee, Shin, D.
Fall Academic Conference of the Korean Institute of Industrial Engineering, Incheon, South Korea (2022).