CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • Github University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

A Sample-Efficient Transfer Learning Framework for Industrial Remaining Useful Life Prediction Leveraging Large Language Models

Chen, Y., & Liu, C. (2025). A Sample-Efficient Transfer Learning Framework for Industrial Remaining Useful Life Prediction Leveraging Large Language Models. Reliability Engineering & System Safety, 268, Article 111980. https://doi.org/10.1016/j.ress.2025.111980

Revealing State-Feature Dependencies in Dynamic Degradation: An Exofeature-Aware Transformer for Battery State-of-Health Prediction

Huang, R., Chen, Y., & Liu, C. (2025). Revealing State-Feature Dependencies in Dynamic Degradation: An Exofeature-Aware Transformer for Battery State-of-Health Prediction. IEEE Transactions on Consumer Electronics

Vision-Enhanced Multi-Modal Learning Framework for Non-Destructive Pavement Damage Detection. Automation in Construction

Zhang, Y., & Liu, C. (2025). Vision-Enhanced Multi-Modal Learning Framework for Non-Destructive Pavement Damage Detection. Automation in Construction, 177, Article 106389. https://doi.org/10.1016/j.autcon.2025.106389

Sequential Multi-objective Multi-agent Reinforcement Learning Approach for System Predictive Maintenance of Turbofan Engine.

Chen, Y., Liu, C. (2025). Sequential Multi-objective Multi-agent Reinforcement Learning Approach for System Predictive Maintenance of Turbofan Engine. Advanced Engineering Informatics. https://doi.org/10.1016/j.aei.2025.103553

Domain Generalization-Based Damage Detection in Real Composite Structures Using Only Multiphysics Simulation Data

Xu, X., & Liu, C. (2025). Domain Generalization-Based Damage Detection in Real Composite Structures Using Only Multiphysics Simulation Data. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2025.3563548

Response Flow Graph Neural Network for Capacitated Network Reliability Analysis

Shi, Y., Liu, C., Beer, M., Huang, H., & Liu, Y. (2025). Response Flow Graph Neural Network for Capacitated Network Reliability Analysis. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2025.111198

Generative adversarial network based on domain adaptation for crack segmentation in shadow environments

Zhang, Y., & Liu, C. (2025). Generative adversarial network based on domain adaptation for crack segmentation in shadow environments. Computer-Aided Civil and Infrastructure Engineering. (Cover Article)

Fatigue life prognosis of composite structures using a transferable deep reinforcement learning-based approach

Liu, C., Chen, Y., Xu, X. (2024). Fatigue life prognosis of composite structures using a transferable deep reinforcement learning-based approach. Composite Structures, Article 118727. https://doi.org/10.1016/j.compstruct.2024.118727

Domain generalization-based damage detection of composite structures powered by structural digital twin

Liu C., Chen Y., Xu X., & Che W. (2024). Domain generalization-based damage detection of composite structures powered by structural digital twin. Composites Science and Technology, 258, Article 110908. https://doi.org/10.1016/j.compscitech.2024.110908.

Structural digital Twin for damage detection of CFRP composites using meta transfer Learning-based approach

Liu, C., Chen, Y., & Xu, X. (2024). Structural digital Twin for damage detection of CFRP composites using meta transfer Learning-based approach. Expert Systems with Applications, 261, Article 125458. https://doi.org/10.1016/j.eswa.2024.125458.

Crack segmentation using discrete cosine transform in shadow environments

Zhang, Y., & Liu, C. (2024). Crack segmentation using discrete cosine transform in shadow environments. Automation in Construction, 166, Article 105646. https://doi.org/10.1016/j.autcon.2024.105646.

Real-Time Pavement Damage Detection With Damage Shape Adaptation

Zhang, Y., & Liu, C. (2024). Real-Time Pavement Damage Detection With Damage Shape Adaptation. IEEE Transactions on Intelligent Transportation Systems.

Network for robust and high-accuracy pavement crack segmentation

Zhang, Y., & Liu, C. (2024). Network for robust and high-accuracy pavement crack segmentation. Automation in Construction, 162, Article 105375. https://doi.org/10.1016/j.autcon.2024.105375

Physics-guided deep learning for damage detection in CFRP composite structures

Xu, X., & Liu, C. (2024). Physics-guided deep learning for damage detection in CFRP composite structures. Composite Structures, 331, Article 117889. https://doi.org/10.1016/j.compstruct.2024.117889.

Few-shot meta transfer learning-based damage detection of composite structures

Chen, Y., Xu, X., & Liu, C. (2024). Few-shot meta transfer learning-based damage detection of composite structures. Smart Materials and Structures, 33(2), Article 025027. https://doi.org/10.1088/1361-665X/ad1ded

Deep transfer learning-based damage detection of composite structures by fusing monitoring data with physical mechanism

Liu, C., Xu, X., Wu, J., Zhu, H., & Wang, C. (2023). Deep transfer learning-based damage detection of composite structures by fusing monitoring data with physical mechanism. Engineering Applications of Artificial Intelligence, 123, Article 106245. https://doi.org/10.1016/j.engappai.2023.106245

Design of Active Sensing Smart Skin for Incipient Slip Detection in Robotics Applications

Liu, C, et al. "Design of active sensing smart skin for incipient slip detection in robotics applications." IEEE/ASME Transactions on Mechatronics 28.3 (2022): 1766-1777.

Lamb Wave-based Damage Detection of Composite Structures using CNN and Continuous Wavelet Transform

Wu J, Xu X, Liu, C, et al. Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform [J]. Composite Structures, 2021, 276: 114590.

Talks

Damage Detection in Composite Structures using Physics-Guided Deep Learning

June 24, 2024

Conference proceedings talk at 2024 Far East NDT New Technology and Application Forum, Zhongshan, China

Monitoring matrix cracks in CFRP composites using CNN and Continuous Wavelet Transform

October 24, 2023

Conference proceedings talk at 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Hangzhou, China

Meta-Transfer-Learning based Damage Detection of CFRP Composite Structures

September 12, 2023

Conference proceedings talk at 14th International Workshop on Structural Health Monitoring (IWSHM2023), Stanford, USA

Teaching

SYE6102 - Managerial Decision-making Systems with Artificial Intelligence

MNE3204 - NDT Technologies for Aircraft Structures and Materials

SYE4059 - NDT Technologies for Process Monitoring and Inspection

SYE4001 - Digital Manufacturing and Operations

SYE3003 - Design and Analysis of Manufacturing Processes and Systems

Service and leadership

• Currently signed in to 43 different slack teams