Jay Lee


Mechanical Engineering
Univ. of Maryland College Park



Dr. Jay Lee is Clark Distinguished Professor and Director of Industrial AI Center in the Mechanical Engineering Dept. of the Univ. of Maryland College Park.
Previously, he served as an Ohio Eminent Scholar, L.W. Scott Alter Chair and Univ. Distinguished Professor at Univ. of Cincinnati. He was Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems ( during 2001-2019 and has developed research memberships with over 100 global company. IMS was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. He is also the Founding Director of Industrial AI Center ( ). He is a member of World Economic Forum (WEF) Global Future Council in Advanced Manufacturing and Value Chain. Previously served as Program Director of NSF during 1991-1998 and Director of United Technologies Research Center during 1998-2000.


Mechanical Engineering, Industrial and Manufacturing Engineering, Engineering, Artificial Intelligence


Scholar Citations


Scholar h-index


Scholar i10-index

Scopus Publications


  • Digital Twin-enabled robust production scheduling for equipment in degraded state
    EN Vibhor Pandhare, L Ragazzini, L Cattaneo, M Macchi, J Lee
    Journal of Engineering Applications of Artificial Intelligence 2023

  • Ball Screw Health Monitoring With Inertial Sensors
    V Pandhare, M Miller, GW Vogl, J Lee
    IEEE Transactions on Industrial Informatics 19 (6) 2023

  • Novel Ensemble Domain Adaptation Methodology for Enhanced Multi-class Fault Diagnosis of Highly-Connected Fleet of Assets
    SSJL Takanobu Minami, Alexander Suer, Pradeep Kundu
    International Conference on Prognostics and Health Management Asian Pacific 2023

  • Detection of inception of preload loss and remaining life prediction for ball screw considering change in dynamics due to worktable position
    Kundu, Pradeep, Marcella Miller, Prayag Gore, Xiaodong Jia, and Jay Lee
    Mechanical Systems and Signal Processing 2023

  • Alignment of the IEEE Industrial Agents Recommended Practice Standard With the Reference Architectures RAMI4. 0
    AWC eito, Paulo, Stamatis Karnouskos, Thomas I. Strasser, Xiaodong Jia, Jay Lee
    IEEE Open Journal of the Industrial Electronics Society 2023

  • Intelligent Maintenance of Electric Vehicle Battery Charging Systems and Networks: Challenges and Opportunities
    JL 137. Hsu, Yuan-Ming, Dai-Yan Ji, Marcella Miller, Xiaodong Jia
    International Journal of Prognostics and Health Management 14, no. 3 14 (3) 2023

  • Cyber-physical systems framework for predictive metrology in semiconductor manufacturing process
    DJP 138. Lee, Jay, Huwei Dong
    International Journal of Precision Engineering and Manufacturing Smart 2023

  • An Optimization-based Subset Selection and Summarization Method for Profile Data Mining
    JL 139. Zhu, Feng, Jianshe Feng, Min Xie, Lishuai Li, Jingzhe Lei
    IEEE Transactions on Industrial Informatics 2023

  • Book Chapter 11: From Source to Sold: Stories of Leadership in Supply Chain
    J Lee
    From Source to Sold: Stories of Leadership in Supply Chain, 111-118 2022

  • Industrial AI-augmented Data-Centric Metrology for Highly Connected Production Systems
    J Lee, P Kundu, P Gore
    5th Wiener Produktionstechnik Kongress – WPK 2022 2022

  • Knowledge transfer using Bayesian learning for predicting the process-property relationship of Inconel alloys obtained by laser powder bed fusion
    C Lu, X Jia, J Lee, J Shi
    Virtual and Physical Prototyping 17 (4), 787-805 2022

  • Stream-of-Quality methodology for industrial Internet-based manufacturing system
    J Lee, P Gore, X Jia, S Siahpour, P Kundu, K Sun
    Manufacturing Letters 34, 58-61 2022

  • Integrated cyber-physical systems and industrial metaverse for remote manufacturing
    J Lee, P Kundu
    Manufacturing Letters 34 (October 2022), 12-15 2022

  • A Novel Methodology for Health Assessment in Printed Circuit Boards
    J Taco, P Gore, T Minami, P Kundu, A Suer, J Lee
    PHM Society European Conference 7 (1), 556-562 2022

  • Sequential optimization of the injection molding gate locations using parallel efficient global optimization
    YM Hsu, X Jia, W Li, P Manganaris, J Lee
    The International Journal of Advanced Manufacturing Technology 120 (5-6 2022

  • A Novel Methodology for Lens Matching in Compact Lens Module Assembly
    W Li, X Jia, YM Hsu, CH Liao, Y Wang, MT Lin, J Lee
    IEEE Transactions on Automation Science and Engineering 20 (2), 741-750 2022

  • Introduction to resilient manufacturing systems
    J Lee, S Siahpour, X Jia, P Brown
    Manufacturing Letters 32, 24-27 2022

  • A novel transfer learning approach in remaining useful life prediction for incomplete dataset
    S Siahpour, X Li, J Lee
    IEEE Transactions on Instrumentation and Measurement 71, 1-11 2022

  • Intelligent robust cross-domain fault diagnostic method for rotating machines using noisy condition labels
    A Ainapure, S Siahpour, X Li, F Majid, J Lee
    Mathematics 10 (3), 455 2022

  • Collaborative prognostics for machine fleets using a novel federated baseline learner
    V Pandhare, X Jia, J Lee
    Annual Conference of the PHM Society 13 (1) 2021


  • A cyber-physical systems architecture for industry 4.0-based manufacturing systems
    J Lee, B Bagheri, HA Kao
    Manufacturing letters 3, 18-23 2015
    Citations: 5551

  • Service innovation and smart analytics for industry 4.0 and big data environment
    J Lee, HA Kao, S Yang
    Procedia cirp 16, 3-8 2014
    Citations: 2512

  • Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
    J Lee, F Wu, W Zhao, M Ghaffari, L Liao, D Siegel
    Mechanical systems and signal processing 42 (1-2), 314-334 2014
    Citations: 1616

  • Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
    H Qiu, J Lee, J Lin, G Yu
    Journal of sound and vibration 289 (4-5), 1066-1090 2006
    Citations: 1473

  • Recent advances and trends in predictive manufacturing systems in big data environment
    J Lee, E Lapira, B Bagheri, H Kao
    Manufacturing letters 1 (1), 38-41 2013
    Citations: 1408

  • Intelligent prognostics tools and e-maintenance
    J Lee, J Ni, D Djurdjanovic, H Qiu, H Liao
    Computers in industry 57 (6), 476-489 2006
    Citations: 846

  • A review on prognostics and health monitoring of Li-ion battery
    J Zhang, J Lee
    Journal of power sources 196 (15), 6007-6014 2011
    Citations: 811

  • Industrial Artificial Intelligence for industry 4.0-based manufacturing systems
    J Lee, H Davari, J Singh, V Pandhare
    Manufacturing letters 18, 20-23 2018
    Citations: 742

  • Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility
    SM Rezvanizaniani, Z Liu, Y Chen, J Lee
    Journal of power sources 256, 110-124 2014
    Citations: 692

  • Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods
    R Huang, L Xi, X Li, CR Liu, H Qiu, J Lee
    Mechanical systems and signal processing 21 (1), 193-207 2007
    Citations: 668

  • A similarity-based prognostics approach for remaining useful life estimation of engineered systems
    T Wang, J Yu, D Siegel, J Lee
    2008 international conference on prognostics and health management, 1-6 2008
    Citations: 609

  • Handbook of maintenance management and engineering
    M Ben-Daya, SO Duffuaa, A Raouf, J Knezevic, D Ait-Kadi
    Springer London 2009
    Citations: 566

  • Industrial big data analytics and cyber-physical systems for future maintenance & service innovation
    J Lee, HD Ardakani, S Yang, B Bagheri
    Procedia cirp 38, 3-7 2015
    Citations: 556

  • Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
    H Qiu, J Lee, J Lin, G Yu
    Advanced Engineering Informatics 17 (3-4), 127-140 2003
    Citations: 519

  • Maintenance: changing role in life cycle management
    S Takata, F Kirnura, FJAM van Houten, E Westkamper, M Shpitalni, ...
    CIRP annals 53 (2), 643-655 2004
    Citations: 508

  • Smart agents in industrial cyber–physical systems
    P Leitao, S Karnouskos, L Ribeiro, J Lee, T Strasser, AW Colombo
    Proceedings of the IEEE 104 (5), 1086-1101 2016
    Citations: 498

  • Cyber-physical systems architecture for self-aware machines in industry 4.0 environment
    B Bagheri, S Yang, HA Kao, J Lee
    IFAC-PapersOnLine 48 (3), 1622-1627 2015
    Citations: 478

  • Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction
    D Djurdjanovic, J Lee, J Ni
    Advanced Engineering Informatics 17 (3-4), 109-125 2003
    Citations: 445

  • Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation
    X Zhou, L Xi, J Lee
    Reliability engineering & system safety 92 (4), 530-534 2007
    Citations: 417

  • E-manufacturing—fundamental, tools, and transformation
    J Lee
    Robotics and Computer-Integrated Manufacturing 19 (6), 501-507 2003
    Citations: 345