Jianshe Feng

• Head of Advanced Manufacturing Intelligence Laboratory
• Interdisciplinary research on industrial AI and advanced manufacturing
• PhD and Master student supervision

• Technical leader for Lighthouse Factories and Smart Manufacturing Factories
• Industrial AI tool development and talent training for Lighthouse Academy
• Industrial Internet platform architecture design

• Industrial AI product line planning and management
• Smart manufacturing solution design
• AI technology implementation in manufacturing

• Autonomous driving system fault diagnosis research
• Vehicle predictive maintenance algorithm development
• Industrial AI applications in automotive manufacturing

Uncertainty-informed cascaded diagnosis of compound faults in electromechanical systems via a physics-informed hypergraph framework

J. Feng, F. Qi, F. Zhu, J. Zhang, P. Gao, Y. Zhu

Reliability Engineering & System Safety, 112685, 2026

Physically-informed Bayesian feature optimization for semi-supervised industrial anomaly detection

J. Feng, J. Zhang, S. Yin, F. Qi, J. Li

Measurement Science and Technology 37(11), 116103, 2026

A Large Language Model-Based Time-Series Framework for Industrial Multi-Task Process Monitoring: A Case Study in Stamping Manufacturing

J. Feng, J. Zhang, F. Qi, Y. Zhu

SSRN Preprint 5288004, 2025

A Two-Stage Framework for Small-Sample RUL Prediction on Structurally Complex Time-Series Data

P. Gao, F. Qi, Y. Zhu, J. Zhang, W. Li, J. Feng

Annual Conference of the PHM Society 17(1), 2025

An optimization-based sample selection method considering sample redundancy and usefulness

F. Zhu, J. Feng, Z. Su, M. Xie

International Conference on the Efficiency and Performance Engineering, 2023

Profile Abstract: An optimization-based subset selection and summarization method for profile data mining

F. Zhu, J. Feng, M. Xie, L. Li, J. Lei, J. Lee

IEEE Transactions on Industrial Informatics 19(9), 9337-9348, 2022

Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning

Y. Pan, R. Hong, J. Chen, J. Feng, W. Wu

Structural Health Monitoring 20(1), 118-138, 2021

Adaptive virtual metrology method based on just-in-time reference and particle filter for semiconductor manufacturing

H. Cai, J. Feng, F. Zhu, Q. Yang, X. Li, J. Lee

Measurement 168, 108338, 2021

A unified Bayesian filtering framework for multi-horizon wind speed prediction with improved accuracy

H. Cai, X. Jia, J. Feng, Q. Yang, W. Li, F. Li, J. Lee

Renewable Energy 178, 709-719, 2021

Reference-based virtual metrology method with uncertainty evaluation for material removal rate prediction based on Gaussian process regression

H. Cai, J. Feng, Q. Yang, F. Li, X. Li, J. Lee

The International Journal of Advanced Manufacturing Technology 116(3), 1199-1213, 2021

Development of an integrated framework for cyber physical system (CPS)-enabled rehabilitation system

J. Feng, F. Zhu, P. Li, H. Davari, J. Lee

International Journal of Prognostics and Health Management 12(4), 2021

Trace abstraction: A novel method to enhance fault detection in semiconductor manufacturing processes with an optimization approach

J. Feng, F. Zhu, Z. Liu, J. Zhang, L. Hua, S. Wang, M. Xie

2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), 1-6, 2021

A systematic framework for maintenance scheduling and routing for offshore wind farms by minimizing predictive production loss

J. Feng, H. Cai, Z. Liu, J. Lee

E3S Web of Conferences 233, 01063, 2021

Intelligent maintenance systems and predictive manufacturing

J. Lee, J. Ni, J. Singh, B. Jiang, M. Azamfar, J. Feng

Journal of Manufacturing Science and Engineering 142(11), 110805, 2020

Gaussian process regression for numerical wind speed prediction enhancement

H. Cai, X. Jia, J. Feng, W. Li, Y.M. Hsu, J. Lee

Renewable Energy 146, 2112-2123, 2020

Similarity-based particle filter for remaining useful life prediction with enhanced performance

H. Cai, J. Feng, W. Li, Y.M. Hsu, J. Lee

Applied Soft Computing 94, 106474, 2020

A similarity based methodology for machine prognostics by using kernel two sample test

H. Cai, X. Jia, J. Feng, W. Li, L. Pahren, J. Lee

ISA Transactions 103, 112-121, 2020

A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization

H. Cai, J. Feng, Q. Yang, W. Li, X. Li, J. Lee

Computers in Industry 119, 103228, 2020

A novel scalable method for machine degradation assessment using deep convolutional neural network

P. Li, X. Jia, J. Feng, F. Zhu, M. Miller, L.Y. Chen, J. Lee

Measurement 151, 107106, 2020

Evaluating feature selection and anomaly detection methods of hard drive failure prediction

Q. Yang, X. Jia, X. Li, J. Feng, W. Li, J. Lee

IEEE Transactions on Reliability 70(2), 749-760, 2020

Cross trajectory Gaussian process regression model for battery health prediction

J. Feng, X. Jia, H. Cai, F. Zhu, X. Li, J. Lee

Journal of Modern Power Systems and Clean Energy 9(5), 1217-1226, 2020

A framework for semi-automated fault detection configuration with automated feature extraction and limits setting

H. Cai, J. Feng, J. Moyne, J. Iskandar, M. Armacost, F. Li, J. Lee

2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC), 2020

Methodology of adaptive prognostics and health management in dynamic work environment

J. Feng

Ph.D. Dissertation, University of Cincinnati, 2020

An online virtual metrology model with sample selection for the tracking of dynamic manufacturing processes with slow drift

J. Feng, X. Jia, F. Zhu, J. Moyne, J. Iskandar, J. Lee

IEEE Transactions on Semiconductor Manufacturing, 2019

A combined filtering strategy for short term and long term wind speed prediction with improved accuracy

H. Cai, X. Jia, J. Feng, Q. Yang, Y.M. Hsu, Y. Chen, J. Lee

Renewable Energy 136, 1082-1090, 2019

An intelligent system for offshore wind farm maintenance scheduling optimization considering turbine production loss

J. Feng, X. Jia, F. Zhu, Q. Yang, Y. Pan, J. Lee

Journal of Intelligent & Fuzzy Systems, 2019

A novel similarity-based method for remaining useful life prediction using kernel two sample test

X. Jia, H. Cai, Y. Hsu, W. Li, J. Feng, J. Lee

Proceedings of the Annual Conference of the PHM Society 11, 2019

A deep learning based method for cutting parameter optimization for band saw machine

P. Li, J. Feng, F. Zhu, H. Davari, L.Y. Chen, J. Lee

Annual Conference of the PHM Society 11(1), 2019

Methodology of adaptive prognostics and health management using streaming data in big data environment

J. Feng

Proceedings of the Annual Conference of the PHM Society 11(1), 2019

Wheel bearing fault isolation and prognosis using acoustic based approach

J. Feng, X. Du, M. Salman

Proceedings of the Annual Conference of the Prognostics and Health Management Society, 2019

Prognosability study of ball screw degradation using systematic methodology

P. Li, X. Jia, J. Feng, H. Davari, G. Qiao, Y. Hwang, J. Lee

Mechanical Systems and Signal Processing 109, 45-57, 2018

Adaptive virtual metrology for semiconductor chemical mechanical planarization process using GMDH-type polynomial neural networks

X. Jia, Y. Di, J. Feng, Q. Yang, H. Dai, J. Lee

Journal of Process Control 62, 44-54, 2018

A review of PHM data competitions from 2008 to 2017: Methodologies and analytics

X. Jia, B. Huang, J. Feng, H. Cai, J. Lee

Proceedings of the Annual Conference of the Prognostics and Health Management Society, 2018

Modeling and solution of offshore wind farm maintenance scheduling

H.Z. Tan, W. Lv, L.W. Jin, Z.C. Liu, J.S. Feng

DEStech Transactions on Environment, Energy and Earth Sciences, 2017

Research on the underwater AUV docking station with two swing degrees of freedom

D. Li, T. Zhang, Y. Cai, J. Shi, J. Feng, C. Yang

Journal of Mechanical Engineering 53(4), 161-167, 2017

Study and design of a heat dissipation system in a junction box for Chinese experimental ocean observatory network

D. Li, J. Wang, J. Feng, C. Yang, Y. Chen

Marine Technology Society Journal 50(2), 63-74, 2016