Jiho Lee

Previous Scheduled Teaching

Published Intellectual Contributions

Journal Article

• Kim, E., Lee, H., Sim, Y., Lee, J., Jun, M.B. (2025). Overcoming Sparse Run-to-Failure Data Challenges in Manufacturing: A Contrastive Mixer Framework for Remaining Useful Life Prediction.
• Kim, E., Jeon, J., Kim, Y., Yun, H., Wellman, J., Choi, Y., Lee, S., Jun, M.B., Lee, J. (2025). Control-Resilient Roller Wear Prediction for Wire Flattening Process via an Internal Sound-Guided Dynamic Conditional Network.
• Jeon, J., Sim, Y., Lee, H., Han, C., Yun, D., Kim, E., Nagendra, S.L., Jun, M.B., Kim, Y., Lee, S., Lee, J. (2025). CNC-Talks: Conversational Machine Monitoring via Large Language Models and Real-Time Retrieval Augmented Generation.
• Lee, J., Akin, S., Sim, Y., Lee, H., Kim, E., Nam, J., Song, K., Jun, M.B. (2024). A Stethoscope Sound-Guided Interpretable Deep Learning Framework for Powder Flow Diagnosis in Cold Spray Additive Manufacturing.
• Han, C., Lee, J., Lee, H., Sim, Y., Jeon, J., Jun, M.B. (2024). Zero-shot Autonomous Robot Manipulation via Natural Language.
• Choi, Y., Lee, J., Lee, Y., Lee, S., Jeong, W., Lim, D., Lee, S. (2024). A Vision-Guided Adaptive and Optimized Robotic Fabric Gripping System for Garment Manufacturing Automation.
• Akin, S., Chang, T., Abir, S.H., Kim, Y., Xu, S., Lim, J., Sim, Y., Lee, J., Tsai, J., Nath, C., Lee, H., Wu, W., Samuel, J., Lee, C., Jun, M.B. (2024). One-step Manufacturing of Functionalized Electrodes on 3D-Printed Polymers for Triboelectric Nanogenerators.
• Noh, I., Lee, J., Lee, S. (2024). Development of Situation Awareness Model in Robotic Spot-Welding (RSW) System Based on Sensor Data Visualization.
• Han, C., Chun, H., Lee, J., Zhou, F., Yun, H., Lee, C., Jun, M.B. (2024). Hybrid Semiconductor Wafer Inspection Framework via Autonomous Data Annotation.
• Han, C., Lee, J., Jun, M.B., Lee, S., Yun, H. (2024). Visual Coating Inspection Framework via Self-Labeling and Multi-Stage Deep Learning Strategies.
• Park, H., Shin, M., Choi, G., Sim, Y., Lee, J., Yun, H., Jun, M.B., Kim, G., Jeong, Y., Yi, H. (2024). Integration of an Exoskeleton Robotic System into a Digital Twin for Industrial Manufacturing Applications.
• Mun, C., Rezvani, S., Lee, J., Park, S.S., Park, H., Lee, J. (2022). Indirect Measurement of Cutting Forces During Robotic Milling Using Multiple Sensors and a Machine Learning-Based System Identifier.
• Chuo, Y., Lee, J., Mun, C., Noh, I., Rezvani, S., Kim, D., Lee, J., Lee, S., Park, S.S. (2022). Artificial Intelligence Enabled Smart Machining and Machine Tools.
• Lee, J., Noh, I., Lee, J., Lee, S. (2021). Development of an Explainable Fault Diagnosis Framework Based on Sensor Data Imagification: A Case Study of the Robotic Spot-Welding Process.
• Lee, K., Han, S., Pham, V., Cho, S., Choi, H., Lee, J., Noh, I., Lee, S. (2021). Multi-Objective Instance Weighting-Based Deep Transfer Learning Network for Intelligent Fault Diagnosis.
• Lee, S., Rho, S., Lee, S., Lee, J., Lee, S., Lim, D., Jeong, W. (2021). Implementation of an Automated Manufacturing Process for Smart Clothing: The Case Study of a Smart Sports Bra.
• Lee, J., Noh, I., Jeong, S., Lee, Y., Lee, S. (2020). Development of Real-time Diagnosis Framework for Angular Misalignment of Robot Spot-Welding System Based on Machine Learning.
• Nam, J., Kim, J., Kim, J., Lee, J., Lee, S. (2018). Parametric Analysis and Optimization of Nanofluid Minimum Quantity Lubrication Micro-Drilling Process for Titanium Alloy (Ti-6Al-4V) Using Response Surface Methodology and Desirability Function.
• Lee, J., Choi, H., Nam, J., Jo, S., Kim, M., Lee, S. (2017). Development and Analysis of an Online Tool Condition Monitoring and Diagnosis System for a Milling Process and Its Real-time Implementation.