Xuan Zhou is currently an Assistant Professor at the School of Aeronautic Science and Engineering, Beihang University. He obtained the Ph.D. degrees at Beihang University (Supervisor: Prof. Leiting Dong) and Politecnico di Milano (Supervisor: Prof. Claudio Sbarufatti, Cum Laude). His research interests include structural integrity, airframe digital twins, structural health monitoring, and surrogate modeling. His research is supported by grants from the National Science Foundation of China, the Ministry of Industry and Information Technology, and Beihang University, among others. He has published 14 articles in mainstream peer-reviewed journals of aeronautical and mechanical engineering, including the AIAA Journal (8 articles) and Mechanical Systems and Signal Processing (MSSP). He has been recognized with several awards, including the Excellent Doctoral Dissertation Award from the Chinese Society of Aeronautics and Astronautics (awarded to 15 recipients annually), the Graduated with Honor of Beijing, and the ICCES 2023 Best Student Paper Award.

Selected Publications

2025

[11] Zhou, X., Dong, L.^*, Dziendzikowski, M., Dragan, K., Giglio, M., and Sbarufatti, C.^*  (2025), In-Service Airframe Digital Twin Load Tracking Combining Deep Learning and Inverse-Direct Method. AIAA Journal.  Accepted.

[10] Wang, C., Zhou, X.^*, Liu, R., & Dong, L.^* (2025), Parametric Symbolic Regression for Discovering Unified Crack Growth Models from Diverse Experiments. AIAA Journal. Accepted.

2024

[9] Xu, J., Zhou, X.^*, Giglio, M., Sbarufatti, C., & Dong, L.^* (2024), Variational Neural Network Embedded with Digital Twins for Probabilistic Structural Damage Quantification. AIAA Journal. 1-13. https://doi.org/10.2514/1.J064808

[8] Zhao, F., Zhou, X.^*, He, S., Wang, C., Dong, L.^*, & Atluri, S. N. (2024), B-Spline Surface-Based Reduced-Order Modeling of Nonplanar Crack Growth in Structural Digital Twins. AIAA Journal, 62(1), 360-373. https://doi.org/10.2514/1.J062959

2023

[7] Zhou, X., Sbarufatti, C.^*, Giglio, M., Dong, L.^* & Atluri, S. N.. (2023). Copula-based Collaborative Multi-Structure Damage Diagnosis and Prognosis for Fleet Maintenance Digital Twins. AIAA Journal, 61(10), 4735-4740. https://doi.org/10.2514/1.J063105

[6] Zhao, F., Zhou, X.^*, Wang, C., Dong, L.^*, & Atluri, S. N. (2023), Setting Adaptive Inspection Intervals in Helicopter Components, Based on a Digital-Twin. AIAA Journal, 61(6), 2675-2688. https://doi.org/10.2514/1.J062222

[5] Zhou, X., Sbarufatti, C.^*, Giglio, M., & Dong, L.^* (2023), A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification of a Structural Digital Twin. Mechanical Systems and Signal Processing, 191, 110164. https://doi.org/10.1016/j.ymssp.2023.110164

[4] Zhou, X., Oboe, D., Poloni, D., Sbarufatti, C.^*, & Dong, L.^*, Giglio, M. (2023). Cluster-based Joint Distribution Adaptation Method for Debonding Quantification in Composite Structures. AIAA Journal, 61(2), 831–842. https://doi.org/10.2514/1.J062417

2022

[3] He, S., Wang, C., Zhou, X., Dong, L., & Atluri, S. N. (2022). Weakly Singular Symmetric Galerkin Boundary Element Method for Fracture Analysis of Three-Dimensional Structures Considering Rotational Inertia and Gravitational Forces. Computer Modeling in Engineering & Sciences, 131(3), 1857–1882. https://doi.org/10.32604/cmes.2022.019160

[2] Zhou, X., He, S. ^*, Dong, L., & Atluri, S. N. (2022). Real-Time Prediction of Probabilistic Crack Growth with a Helicopter Component Digital Twin. AIAA Journal, 60(4), 2555–2567. https://doi.org/2514/1.J060890

2021

[1] Dong, L., Zhou, X., Zhao, F., He, S., Lu, Z. Y., & Feng, J. (2021). Key technologies for modeling and simulation of airframe digital twin. Acta Aeronaut. Astronaut. Sin, 42(3), 113-141.