Research

Overview

My research focuses on physics/engineering-informed machine learning for quality control in advanced manufacturing systems. Specifically, I have concentrated on integrating physics-based knowledge and engineering expertise into machine learning models to enhance quality control and improvement in advanced composite manufacturing and joining processes, with emphasis on manufacturing process modeling and in-service non-destructive inspection throughout the product life cycle.

Publications

Peer-Reviewed Journal Articles

[J7] Liu, X., Wang, Y., Liu, Z., Lu, Y., Liu, X., & Zhang, C. (2025+). Ultrasonic Weak Bond Detection using Functional Nondestructive Inspection Data and Acoustic Wave Equation. Technometrics, Under Review.
[J6] Wang, Y., Mou, S., Shi, J., & Zhang, C. (2025+). DISCO: Disentangling Signal Restoration and Corruption Identification via Sample-Wise Latent Low-Rank Similarity. IEEE Transactions on Automation Science and Engineering, Under Review.
[J5] Lu, Y., Wang, Y., Liu, X., Zhang, C., & Hsu, C. (2025). Physics-Informed Machine Learning for Failure Mode Proportion Prediction (PIFMP) in Composite Adhesive Joints. ASME Transactions, Journal of Manufacturing Science and Engineering, 147(8): 081007. [Paper]
[J4] Zhang, C., Wang, B., Wang, Y., Brown, B., Weber, J., Liang, Z., & Kramer, L. (2025). Technology Roadmap for Composite Joining and Repair. Composites Part B: Engineering, 293: 112132. [Paper]
[J3] Wang, Y., Mou, S., Shi, J., & Zhang, C. (2024). Physics-Informed Neural ODE with Heterogeneous Control Inputs (PINOHI) for Quality Prediction of Composite Adhesive Joints. IISE Transactions, 57(11), 1376-1388. [Paper], [Poster], [Presentation], [Code]
- - Winner, 2025 ASA SPES+Q&P Student Paper Competition
  - Runner-up, 2024 INFORMS QSR Best Student Poster Competition
[J2] Wang, Y., Wang, K., & Zhang, C. (2024). Applications of Artificial Intelligence/Machine Learning to High-Performance Composites. Composites Part B: Engineering, 285: 111740. [Paper]
[J1] Wang, Y., Xie, Y., Ren, Y., & Zhang, C. (2021). A MCDM-Based Meta-Heuristic Approach for U-Shaped Disassembly Line Balancing Problem. Journal of Physics: Conference Series, 1828(1), 012159. [Paper]

Refereed Conference Proceedings

[C3] Zhang, D., Liu, X., Wang, Y., & Zhang, C. (2025, June). A Study of Effects of Geometric Form Variations to Diametric Differential of Threads. In 2025 International Manufacturing Science and Engineering Conference (MSEC). ASME.
[C2] Liu, X., Wang, Y., Liu, Z., Liu, X., & Zhang, C. (2024, October). Numerical Simulation of Ultrasonic Nondestructive Testing for Adhesive Bonded Lap Joints. In 2024 COMSOL Conference. [Paper]
[C1] Lian, Y., Meng, L., Wang, Y., Zhang, C., Wei, Y., & Lian, K. (2020, April). A Hybrid Colonial Competitive Algorithm for the Integrated Process Planning and Scheduling Problem. In 2020 International Conference on Urban Engineering and Management Science (ICUEMS) (pp. 117-23). IEEE. [Paper]

In-Progress

[J8] Wang, Y., et al. (2025+). Physics-Aware Anomaly Detection for Non-Destructive Inspection of Composite Adhesive Joints. To be submitted to IISE Transactions.
[J9] Wang, Y., et al. (2025+). Structure-Aware Tensor Physics-Informed Neural Networks. To be submitted to IEEE Transactions on Automation Science and Engineering.

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