Publication

E. Kim, H. Lee, Y. Sim, J. Lee, M. B. G. Jun*, “Overcoming Sparse Run-to-Failure Data Challenges in Manufacturing: A Contrastive Mixer Framework for Remaining Useful Life Prediction,” CIRP Annals – Manufacturing Technology (Under Revision) 

H. Lee, C. Han, T. Gabor, Y. Sim, M. B. G. Jun, Y. H. Jeon, S. Akin, and J. Lee*, “Cold Spray-Enabled Physically Unclonable Identifier and Its Spectral Authentication via Implicit Neural Representation” IEEE Transactions on Industrial Informatics (Under Review)

H. Lee, Y. Sim, C. Han, M. B. G. Jun, and J. Lee*, “GRAVITON: Generalized Resampling Algorithm for Visual Inference in Target Object Localization,” Computers in Industry (Under Review) - [Preprint on SSRN: Link]

E. Kim, J. Jeon, Y. Kim, H. Yun, J. Wellman, Y. Choi, S.W. Lee, M. B. G. Jun, and J. Lee*, “Control-Resilient Roller Wear Prediction for Wire Flattening Process via an Internal Sound-Guided Dynamic Conditional Network,” International Journal of Precision Engineering and Manufacturing – Green Technology (2025) [Link]

J. Jeon, Y. Sim, C. Han, D. Yun, H. Lee, M. B. G. Jun, Y. J. Kim, S. W. Lee, and J. Lee*, “ChatCNC: Conversational Machine Monitoring via Large Language Models and Real-Time Retrieval Augmented Generation,” Journal of Manufacturing Systems (2025) [Link]

Y. W. Choi#, J. Lee#, Y. Lee, S. Lee, W. Jeong, D. Y. Lim, and S. W. Lee*, “A Vision-Guided Adaptive and Optimized Robotic Fabric Gripping System for Garment Manufacturing Automation,” Robotics and Computer-Integrated Manufacturing (2025) [Link]

J. Lee, S. Akin*, Y. Sim, H. Lee, E. Kim, J. Nam, K. Song, and M. B. G. Jun*, “A Stethoscope Sound-Guided Interpretable Deep Learning Framework for Powder Flow Diagnosis in Cold Spray Additive Manufacturing,” Manufacturing Letters -NAMRC 52 (2024) [Link]

C. Han, J. Lee, H. Lee, Y. Sim, J. Jeon, and M. B. G. Jun* “Zero-shot Autonomous Robot Manipulation via Natural Language,” Manufacturing Letters (2024) [Link]

C. Han, J. Lee, M. B. G. Jun, S. W. Lee, and H. Yun*, “Visual Coating Inspection Framework via Self-Labeling and Multi-Stage Deep Learning Strategies,” Journal of Intelligent Manufacturing (2024) [Link]

S. Akin*, T. Chang, S. S. H. Abir, Y. W. Kim, S. Xu, J. Lim, Y. Sim, J. Lee, C. Nath, H. Lee, W. Wu, J. Samuel, C. H. Lee*, and M. B. G. Jun*, “One-step Manufacturing of Functionalized Electrodes on 3D-Printed Polymers for Triboelectric Nanogenerators,” Nano Energy (2024) [Link]

I. Noh, J. Lee, and S. W. Lee*, “Development of Situation Awareness Model in Robotic Spot-Welding (RSW) System Based on Sensor Data Visualization,” International Journal of Precision Engineering and Manufacturing – Smart Technology (2024) [Link]

C. Han, H. Chun, J. Lee, F. Zhou, M. B. G. Jun, C. Lee, and H. Yun*, “Hybrid Semiconductor Wafer Inspection Framework via Autonomous Data Annotation,” Journal of Manufacturing Science and Engineering (2024) [Link]

H. Park, M. Shin, G. Choi, Y. Sim, J. Lee, H. Yun, M. B. G. Jun, G. Kim, Y. Jeong, and H. Yi*, “Integration of an Exoskeleton Robotic System into a Digital Twin for Industrial Manufacturing Applications,” Robotics and Computer-Integrated Manufacturing (2024) [Link]

C. H. Mun, S. Rezvani, J. Lee, S. S. Park, H. W. Park, and J. Lee*, “Indirect Measurement of Cutting Forces During Robotic Milling Using Multiple Sensors and a Machine Learning-Based System Identifier,” Journal of Manufacturing Processes (2023) [Link]

J. Lee, I. Noh, J. Lee, and S. W. Lee*, “Development of an Explainable Fault Diagnosis Framework Based on Sensor Data Imagification: A Case Study of the Robotic Spot-Welding Process,” IEEE Transactions on Industrial Informatics (2022) [Link]

Y. S. Chuo, J. Lee, C. H. Mun, I. Noh, S. Rezvani, D. C. Kim, J. Lee, S. W. Lee, and S. S. Park*, “Artificial Intelligence Enabled Smart Machining and Machine Tools,” Journal of Mechanical Science and Technology (2022) [Link]

K. Lee, S. Han, V. H. Pham, S. Cho, H. Choi*, J. Lee, I. Noh, and S. W. Lee, “Multi-Objective Instance Weighting-Based Deep Transfer Learning Network for Intelligent Fault Diagnosis,” Applied Sciences (2021) [Link]

S. Lee, S. H. Rho, S. Lee, J. Lee, S. W. Lee, D. Y. Lim, and W. Jeong*, “Implementation of an Automated Manufacturing Process for Smart Clothing: The Case Study of a Smart Sports Bra,” Processes (2021) [Link] 

J. Lee, I. Noh, S. I. Jeong, Y. Lee, and S. W. Lee*, “Development of Real-time Diagnosis Framework for Angular Misalignment of Robot Spot-Welding System Based on Machine Learning,” Procedia Manufacturing - NAMRC 48 (2020) [Link]

J. Nam, J. W. Kim, J. S. Kim, J. Lee, and S. W. Lee, “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,” Procedia Manufacturing - NAMRC 46 (2018) [Link]

J. Lee, H. J. Choi, J. Nam, S. B. Jo, M. Kim, and S. W. Lee*, “Development and Analysis of an Online Tool Condition Monitoring and Diagnosis System for a Milling Process and Its Real-time Implementation,” Journal of Mechanical Science and Technology (2017) [Link] 

 J. Lee, H. Shin, Y. W. Choi, S. Kim, and S. W. Lee, “Method and Apparatus for Visualizing of Stack, Computer-Readable Storage Medium and Computer Program,” Korean Patent 2023 (Granted, No. 10-2595671) & USA Patent 2022 (Filed, No. US 17/982,628).

 J. Lee, J. Lee, Y. Lee, and S. W. Lee, “System and Method for Gripping and Transferring a Gripping Object Using a Vacuum Gripper,” Korean Patent 2022 (Granted, No. 10-2355823) & International Patent 2021 (Filed, No. PCT/KR2020/018048).

  J. Lee, Y. Lee, I. Noh, and S. W. Lee, “Method and Apparatus for Real Time Monitoring Based on Digital Twin,” Korean Patent 2022 (Granted, No. 10-2351980).

  J. Lee, I. Noh, Y. Jeon, Y. Lee, and S. W. Lee, “Method of Defect Inspection for Spot Welding and Device of Defect Inspection for Spot Welding,” Korean Patent 2024 (Granted, No. 10- 2728136).

  J. Lee, I. Noh, and S. W. Lee, “Method of Fault Diagnosis for Spot Welding Robot and Device of the Same,” Korean Patent 2021 (Filed, No. 10-2021-0161231).

 J. Lee, Y. Lee, Y. W. Choi, Y. Jeon, and S. W. Lee, “Automation Device and Method That Handling Clothing Frabric,” Korean Patent 2021 (Filed, No. 10-2021-0125654).

J. S. Nam, J. Lee, and S. W. Lee, “The Method of Obtaining Diagnostic Data of Status of Drilling Tools and the Method of Diagnostic Using That,” Korean Patent 2016 (Filed, No. 10-2016-00963173).

J. Lee, G. Lee, H. Lim, J. N. Gyu, H. S. Yong, and S, Hwang, “A Faucet Cartridge for Adjustable Heated Water,” Korean Patent 2015 (Filed, No. 10-2015-0135799).

Y. Sim, H. Lee, C. Han, H. G. Lee, M. B. G. Jun, J. Lee*, “I2DTM: Immersive and Interactive Digital Twin Metaverse Platform,” ASME International Design Engineering Technical Conference and Coputers and Information in Engineering (IDETC-CIE), August 17-20, Anaheim, CA, USA, 2025 (Under Review)

H. Lee, Y. Sim, C. Han, J. Lee, A. Bera, C. Kim, M. B. G. Jun*, “EASEIR: Efficient and Adaptive Safe-set Estimation via Implicit Representation for High-dimensional Motion Planning,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Octobor 19-25, Hangzhou, China, 2025 (Under Review) - Acceptance rate: 47.9%

E. Kim, H. Lee, Y. Sim, J. Lee, M. B. G. Jun*, “Overcoming Sparse Run-to-Failure Data Challenges in Manufacturing: A Contrastive Mixer Framework for Remaining Useful Life Prediction,” 74th CIRP Annals – Manufacturing Technology, August 17-23, Stockholm, Sweden, 2025 (Under Revision) - Acceptance rate: 54%

C. Han, T. Gabor, H. Lee, J. Lee, S. Akin, M. B. G. Jun*, “Pulsed Cold Spray System for Physical Unclonable Function Generation,” CIRP International Symposium on Electro Physical and Chemical Machining (ISEM), June 1-4, Vancouver, BC, Canada, 2025.

H. Lee, Y. W. Choi, E. Lugo, J. Lee, S. W. Lee, and M. B. G. Jun*, “GMGP: Generalized Model for Grasp Planning of Vacuum and Parallel Jaw Grippers,” 20th ASME International Manufacturing Science and Engineering Conference (MSEC), June 23-27, Greenville, SC, USA, 2025.

Y. Sim, E. Kim, J. Lee, H. Lee, D. Lee, N. Myeong, Y. Hwang, H. W. Park, and M. B. G. Jun*, “Sound Data Augmentation Using Frequency Response Superposition for Machine Tool Component Running State Recognition,” 20th ASME International Manufacturing Science and Engineering Conference (MSEC), June 23-27, Greenville, SC, USA, 2025.

M. B. G. Jun*, J. Lee, C. Han, J. Jeon, and Y. Sim, “Language of Everything in Manufacturing (LEM),” 52nd SME North American Manufacturing Research Conference (NAMRC), Knoxville, TN, USA, 2024. – SME Blue Sky Competition Finalist

J. Lee, S. Akin*, Y. Sim, H. Lee, E. Kim, J. Nam, K. Song, and M. B. G. Jun*, “A Stethoscope Sound-Guided Interpretable Deep Learning Framework for Powder Flow Diagnosis in Cold Spray Additive Manufacturing,” 52nd SME North American Manufacturing Research Conference (NAMRC), Knoxville, TN, USA, 2024.

C. Han, H. Lee, J. Lee, M. B. G. Jun, and H. Yun*, “Digital Twins for Advanced Autonomous CNC Machine Operation,” 19th ASME International Manufacturing Science and Engineering Conference (MSEC), June 12-16, Knoxville, TN, USA, 2024.

J. Lee*, J. Jeon, Y. Sim, H. Jun, C. Han, D. Yun, M. B. G. Jun, “Generative AI Based Real-Time Human-Data Interaction for Smart Manufacturing,” CESMII-SMIC Purdue DigiTwin Conference 2024, West Lafayette, IN, USA, 2024. - Best Presentation Award

M. B. G. Jun*, J. Lee, E. Kim, Y. Sim, C. Han, H. Lee, “Generalized and Generative AI for Manufacturing,” International Conference on Precision Engineering and Sustainable Manufacturing, Busan, Republic of Korea, 2024.

J. Lee, E. Kim, C. Han, H. Lee, Y. Sim, M. B. G. Jun*, “Generalized and Generative AI for Smart Manufacturing,” North Academy of Engineering Regional Forum, West Lafayette, IN, USA, 2024.

E. Kim, J. Yuan, J. Lee, H. Yun, M. Fassnacht, S. W. Lee, and M. B. G. Jun*, “Real-Time Cutting State Monitoring for Micro-Volume Fine Milling Using MTConnect Framework Based on Sound and Convolutional Neural Network (CNN),” World Congress on Micro and Nano Manufacturing, Evanston, IL, USA, 2023.

B. K. Kang, Y. J. Jeon, S. Hong, J. Lee, and S. Won Lee*, “Optimization of Non-Conformal Temperature Control Blow Molding Process Based on Gradient Class Activation Map (Grad-CAM),” 18th ASME International Manufacturing Science and Engineering Conference (MSEC), June 12-16, New Brunswick, NJ, USA, 2023.

H. Shin, B. S. Koo, J. Ahn, D. J. Lee, J. Lee, and S. W. Lee*, “Optimization of Composite Material-Based Injection Molding Process Based on Transfer Learning and Genetic Algorithms,” 18th ASME International Manufacturing Science and Engineering Conference (MSEC), June 12-16, New Brunswick, NJ, USA, 2023.

J. Lee*, “Development of Interactive Digital Twin for Robotic Welding System Using Explainable Artificial Intelligence,” 17th ASME International Manufacturing Science and Engineering Conference (MSEC), June 27 - July 1, West Lafayette, IN, USA, 2022.

I. Noh, Y. Jeon, J. Lee, Y. Lee, Y. Choi, and S. W. Lee*, “Development of Shunting Effect Detection System for Robotic Spot-Welding (RSW) Process Based on Artificial Intelligence Algorithms,” 17th ASME International Manufacturing Science and Engineering Conference (MSEC), June 27 - July 1, West Lafayette, IN, USA, 2022.

C. H. Lee, J. Lee, Y. W. Choi, and S. W. Lee*, “Development of Condition Diagnosis Model for Automatic Fabric Transferring Based on Convolutional Neural Network,” Asia Pacific Conference of the Prognostics and Health Management Society (ACPHM), September 8-11, Jeju, Republic of Korea, 2021.

J. Lee, Y. Lee, I. Noh, Y. Jeon, and S. W. Lee*, “Development of Interactive Monitoring Interface for Robotic Welding System Based on Digital Twin,” International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM), July 21-23, Jeju, Republic of Korea, 2021.

J. Lee, I. Noh, S. I. Jeong, Y. Lee, and S. W. Lee*, “Development of Real-time Diagnosis Framework for Angular Misalignment of Robot Spot-welding System Based on Machine Learning,” 48th SME North American Manufacturing Research Conference (NAMRC), Online proceedings (COVID-19), 2020.

J. Lee, J. Lee, Y. Lee, Y. Jeon, and S. W. Lee*, “Development of Automatic Garment Transfer System Based on Real-time Shape Recognition Algorithm,” 15th ASME International Manufacturing Science and Engineering Conference (MSEC), Online proceedings (COVID-19), 2020.

J. Lee, S. I. Jeong, J. Lee, J. H. Kim, H. S. Lee, and S. W. Lee*, “A Study on Spot-Welding Quality Prediction Using Current and Voltage Signals for Various Welding Materials,” International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM), July 10-13, Da Nang, Vietnam, 2019.

J. Lee, I. Noh, S. I. Jeong, and S. W. Lee*, “Development of Quality Monitoring and Diagnosis System for Robot Spot Welding Process Based on Machine Learning Algorithms,” 14th ASME International Manufacturing Science and Engineering Conference (MSEC), June 10-14, Erie, PA, USA, 2019.

J. Lee, I. Noh, S. I. Jeong, and S. W. Lee*, “Development of Spot-Welding Quality Prediction System Using an Industrial Robot Based on Artificial Neural Network Algorithm,” 8th International Conference on Manufacturing, Machine Design and Tribology (ICMDT), April 24-26, Kagoshima, Japan, 2019.

J. Lee, S. I. Jeong, I. Noh, and S. W. Lee*, “Fault Diagnosis Modeling of Industrial Robot Gear Based on Convolutional Neural Network,” 7th International Conference of Manufacturing Technology Engineers (ICMTE), October 2-5, Seoul, Republic of Korea, 2018.

J. Lee, I. Noh, S. I. Jeong, Y. Kang, and S. W. Lee*, “Development of a Real-Time Input Gear Fault Detection System for an Industrial Robot Based on Machine Learning Technique,” International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM), July 3-6, Sapporo, Japan, 2018.

J. Nam, J. W. Kim, J. S. Kim, J. Lee, and S. W. Lee*, “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,” 46th SME North American Manufacturing Research Conference (NAMRC), June 18-22, College Station, TX, USA, 2018.

J. Lee, H. J. Choi, I. Noh, S. I. Jeong, and S. W. Lee*, “Development of Online Condition Monitoring and Fault Detection System for Industrial Vertical Articulated Robot Using Support Vector Machine Algorithm,” 13th ASME International Manufacturing Science and Engineering Conference (MSEC), June 18-22, College Station, TX, USA, 2018.

J. Lee, J. S. Kim, J. W. Kim, and S. W. Lee*, “Development of Process Monitoring and Fault Diagnosis System for FDM Process on Machine Learning Algorithms,” 6th International Conference of Manufacturing Technology Engineers (ICMTE), November 23-26, Shenzhen, China, 2017.

J. Lee, H. J. Choi, J. Nam, and S. W. Lee*, “Development of a Tool Condition Monitoring and Diagnosis System for Milling Process Based on Feature Extraction from Force Data,” 12th ASME International Manufacturing Science and Engineering Conference (MSEC), June 4-8, Los Angeles, CA, USA, 2017.

J. Lee, J. W. Kim, H. J. Choi, J. S. Nam, and S. W. Lee*, “Development of Tool Condition Monitoring and Diagnosis System Using Machine Learning Algorithms for Micro-Milling Process,” 7th International Conference on Manufacturing, Machine Design and Tribology (ICMDT), April 19-22, Jeju, Republic of Korea, 2017.

J. Lee, H. J. Choi, J. S. Nam, and S. W. Lee*, “A Study on Tool Condition Monitoring and Diagnosis of Milling Process,” 5th International Conference of Manufacturing Technology Engineers (ICMTE), October 5-7, Seoul, Republic of Korea, 2016.

J. S. Nam, C. R. Na, J. Lee, and S. W. Lee*, “Development of Tool Condition Monitoring and Diagnosis System for Micro-drilling Process,” International Conference on Micro Manufacturing (ICOMM), March 29-31, Orange County, CA, USA, 2016. 

(Dec. 2024) Invited Seminar, “Advanced Artificial Intelligence (AI) Techniques and Case Studies for Smart Manufacturing” – Korea Institute of Industrial Technology (KITECH).

(Apr. 2024) Midwest Academic Conference & Networking, “Introduction of Smart Manufacturing Technologies Utilizing Artificial Intelligence and Digital Twin” – University of Illinois at Urbana-Champaign (UIUC).

(May 2024) Invited Online Seminar, “Advanced Artificial Intelligence and Data Preparing Methods in Manufacturing Industry” – Korea Institute of Industrial Technology (KITECH).

(Jan. 2020) The 4th Technical Courses for Leaders of the Fourth Industrial Revolution, Assistant instructor, “Prognostics and Health Management (PHM) Practice for Industrial Digitalization – Case Study 1: Manufacturing Systems” – Korea Society for Prognostics and Health Management (KSPHM), Seoul National University (SNU).

(Aug. 2019) The 3rd Technical Courses for Leaders of the Fourth Industrial Revolution, Assistant instructor, “Prognostics and Health Management (PHM) Practice for Industrial Digitalization – Case Study 1: Manufacturing Systems” – Korea Society for Prognostics and Health Management (KSPHM), Yonsei University (YU).

(Jan. 2018) Tutorial for Artificial Intelligence (AI) and Smart Factory Technology, Assistant instructor, “Predict and Prevent! – Prognostics and Health Management (PHM) and Cyber-Physical Systems (CPS) Technologies for Smart Factory” – Korea Society of Computer Design and Engineering (CDE).