Academic Activities

Journal Articles

An asterisk denotes the corresponding author.

1. 2027

   Segmental Viterbi estimation using transition constraints for covariate-dependent hidden semi-Markov degradation models with right censoring

   C. C. Zhang*, X. Feng, and J. Jiang, Reliability Engineering & System Safety, vol. 278, Art. no. 113615, 2027. Article · Code.
2. 2027

   Variable-length multiobjective optimization of inspection schedules for condition-based maintenance of vertical-cavity surface-emitting lasers under imperfect detection

   C. C. Zhang*, X. Feng, and H. Zhang, Reliability Engineering & System Safety, vol. 277, Art. no. 113039, 2027. ScienceDirect · Data and scripts.
3. 2026

   Local optical feasibility maps for compound lens optimization under direct modulation transfer function constraints

   C. C. Zhang, Y. Cui, J. Jiang, H. Lou, and L. Sheng*, Optics Express, 2026. Article.
4. 2026

   Rapid stress birefringence mapping in mounted curved lenses with a curved-layer Jones approximation

   C. C. Zhang*, S. Zhang, H. Lou, J. Jiang, L. Sheng, and G. Markou, Optics Express, vol. 34, no. 21, pp. 39011–39027, 2026. Article · Code.
5. 2026

   Prefix Treatment and Bayesian Partial Pooling for Early-Stage Lifetime Prediction from Degradation Data

   C. C. Zhang*, X. Feng, and J. Jiang, Journal of Dynamics, Monitoring and Diagnostics, vol. 5, no. 2, pp. 117–130, May 2026. Article.
6. 2021

   Reliability-based lifetime fatigue damage assessment of offshore composite wind turbine blades

   C. Zhang, H. P. Chen*, K. F. Tee, and D. Liang, Journal of Aerospace Engineering (ASCE), vol. 34, no. 3, Art. no. 04021019, 2021.Editor's Choice Article.
7. 2018

   Fatigue damage assessment of wind turbine composite blades using corrected blade element momentum theory

   C. Zhang, H. P. Chen*, and T. L. Huang, Measurement, vol. 129, pp. 102–111, 2018. Article.
8. 2017

   Stochastic modelling fatigue crack evolution and optimum maintenance strategy for composite blades of wind turbines

   H. P. Chen*, C. Zhang, and T. L. Huang, Structural Engineering and Mechanics, vol. 63, no. 6, pp. 703–712, 2017. Article.

Conference Papers

1. 2026

   Task-Aligned Variational CPAE with Stacking Ensemble Learning for CMP Material Removal Rate Prediction

   X. Feng and C. C. Zhang, International Conference on System Reliability and Safety Engineering (SRSE), pp. 146–151, 2026.Best Student Paper
2. 2025

   Evolving Portfolio Heuristics: A Self-Correcting LLM Framework for Portfolio Optimization

   X. Chen, Z. Wang, and C. Zhang*, in Proc. 2025 7th Int. Conf. Data-driven Optimization of Complex Systems (DOCS), pp. 540–545, 2025.Best Paper Article.
3. 2025

   Reliability Analysis of Photovoltaic Modules Based on Joint Bayesian Model

   C. C. Zhang, Z. Wang, K. F. Tee, and J. Jiang, in Proc. 2025 16th Int. Conf. Reliability, Maintainability and Safety (ICRMS), pp. 143–147, 2025. Article.
4. 2025

   Integrating AI Agents with Classical Reliability Assessment via LLMs of Semiconductor Lasers

   C. C. Zhang, T. Wang, and J. Jiang*, in Proc. 7th Int. Conf. System Reliability and Safety Engineering (SRSE), pp. 283–289, 2025.Best Paper
5. 2025

   Phase-Modulated LSTM for the Degradation Prediction of Chemical Mechanical Planarization

   Z. Wang, C. C. Zhang*, X. Ke, T. Wang, and S. Zhang, in Proc. 7th Int. Conf. System Reliability and Safety Engineering (SRSE), pp. 23–29, 2025.Best Student Paper
6. 2025

   Multi-Objective Optimization Framework for Maintenance and Reliability of Optical Systems

   S. Zhang, X. Ke, Z. Wang, J. Li, C. C. Zhang, and T. Wang*, in Proc. 7th Int. Conf. System Reliability and Safety Engineering (SRSE), 2025.Best Session Presentation
7. 2025

   Multi-Objective Optimization for Multi-Maintenance Strategy based on Uncertainty Decision Tree

   Y. Cui, C. C. Zhang*, and L. Sheng, in Proc. 7th Int. Conf. System Reliability and Safety Engineering (SRSE), 2025. Article.
8. 2024

   Proactive maintenance strategy for submarine pipelines based on stochastic modelling of deterioration due to corrosion

   H. Zhang, C. C. Zhang*, J. Jiang, X. Chen, J. Dong, and D. Liang, in Proc. 2024 6th Int. Conf. System Reliability and Safety Engineering (SRSE), pp. 87–91, 2024. Article.
9. 2024

   Gamma process-based optimum inspection and maintenance strategy for steel bridge with multi-objective optimization method

   H. Zhang, C. C. Zhang*, and J. Jiang, in Proc. 9th Int. Symp. Reliability Engineering and Risk Management (ISRERM), pp. 428–435, 2024.
10. 2024

    Maintenance strategy for submarine pipelines corrosion using stochastic modeling and Bayesian updating

    C. C. Zhang*, L. Sheng, K. F. Tee, and D. Liang, in Proc. 9th Int. Symp. Reliability Engineering and Risk Management (ISRERM), pp. 505–510, 2024.
11. 2022

    Improvement Measures for Structure System Conversions Caused by Utilising SPMTs to Lift Trusses

    Z. Wen, J. Zhou, J. Dong, and C. Zhang, Lecture Notes in Civil Engineering, vol. 213, pp. 11–17, 2022. Article.
12. 2019

    Application of gamma process and maintenance cost for fatigue damage of wind turbine blade

    C. Zhang and K. F. Tee, Energy Procedia, vol. 158, pp. 3729–3734, 2019. Article.
13. 2019

    Probabilistic deterioration modelling of fatigue cracking in wind turbine blades

    C. Zhang, H.-P. Chen, and T. L. Huang, Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2019): Transferring Research into Practice, vol. 2, pp. 990–995, 2019. Scopus record.
14. 2017

    Aerodynamic performance and fatigue damage assessment of wind turbine composite blades using corrected BEM method

    C. Zhang and H. P. Chen, Proceedings of the 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2017), Brisbane, Australia, pp. 1357–1371, 2017. Scopus record.
15. 2017

    Fatigue damage model of wind turbine composite blades under uncertain wind speed

    C. Zhang and H.-P. Chen, Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017), Rhodes, Greece, pp. 616–626, 2017. Article.
16. 2017

    Stochastic damage modelling of mixed mode fatigue delamination of composite wind turbine blades

    C. Zhang and H.-P. Chen, 21st International Conference on Composite Materials (ICCM21), Xi’an, China, 2017. Scopus record.
17. 2017

    Stochastic modelling of fatigue crack evolutions in composite blades of offshore wind turbines

    C. Zhang and H. P. Chen, Mechanics of Structures and Materials: Advancements and Challenges — Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials (ACMSM24, 2016), pp. 1223–1228, 2017. Scopus record.
18. 2017

    Aerodynamic performance assessment of wind turbine composite blades using corrected blade element momentum method

    C. Zhang and H.-P. Chen. World Congress on Advances in Structural Engineering and Mechanics (ASEM17), Seoul, South Korea, 2017. Conference manuscript.
19. 2016

    A stochastic model for damage evolution of mode II delamination fatigue of composite wind turbine blades

    C. Zhang and H.-P. Chen, Life-Cycle of Engineering Systems — Proceedings of the 5th International Symposium on Life-Cycle Civil Engineering (IALCCE 2016), Delft, the Netherlands, p. 363, 2016. Article.
20. 2016

    Stochastic modelling of lifecycle delamination damage: Evolution of composite blades of wind turbines

    C. Zhang, H. P. Chen, and T. L. Huang, Transforming the Future of Infrastructure through Smarter Information — Proceedings of the International Conference on Smart Infrastructure and Construction (ICSIC 2016), Cambridge, UK, pp. 603–608, 2016. Scopus record.
21. 2016

    Monitoring based fatigue damage prognosis of wind turbine composite blades under uncertain wind loads

    C. Zhang and H.-P. Chen. 6th Civil Structural Health Monitoring Workshop (CSHM-6), Belfast, UK, 2016. Conference manuscript.

Talks

1. 2025

   Bayesian Inference Framework for Robust Reliability Assessment of Offshore Wind Turbine Blades in Data-Limited Environments

   Keynote lecture, 6th International Conference on Health Monitoring of Civil & Maritime Structures (HeaMES 2025), London, 23–24 June 2025. Bayesian reliability assessment with limited data.
2. 2025

   Integrating AI Agents with Classical Reliability Assessment via LLMs of Semiconductor Lasers

   Research presentation, 2025 Annual Meeting of the Reliability Society of the Operations Research Society of China, 6 December 2025. Integration of AI agents with classical laser reliability models.
3. 2025

   Integrated Reliability Assessment of Critical Components via Bayesian Fusion of Small Samples

   Research presentation, IEEE Global Reliability and PHM Conference 2025, Xi’an. Bayesian fusion and reliability assessment from small samples.

Academic Service

1. Young Editorial Board member

   Journal of Dynamics, Monitoring and Diagnostics. Journal.

2. Journal peer review

   Measurement; Wind Engineering; Wind Energy; Journal of Wind Engineering and Industrial Aerodynamics.
3. 2026

   SRSE 2026 conference service

   Student Programme Co-chair and Session Chair, International Conference on System Reliability and Safety Engineering.
4. 2025

   SRSE 2025 conference service

   Local Organisation Chair and Session Chair, 7th International Conference on System Reliability and Safety Engineering.
5. 2024–2025

   ICCDT conference organisation

   Conference organisation and academic programme coordination for ICCDT 2024 and ICCDT 2025.
6. 2025–2028

   Degree committee

   Member of the Mechatronic Engineering Degree Subcommittee, CIOMP, 2025–2028.
7. 2026–2027

   Academic advising

   Academic Advisor, Advanced Computing and Digital Technology Research Centre, 2026–2027.

8. Doctoral supervision

   PhD Supervisor, University of Chinese Academy of Sciences. Graduate research supervision and institutional student development.
9. 2023

   Associate Fellow of Advance HE

   Teaching and learning support qualification, AFHEA, 2023.

Research Projects

1. 2026–2028

   Fault prediction and health management of magnetically levitated fans for EUV light sources

   Project lead. International Science and Technology Cooperation Project, Jilin Provincial Department of Science and Technology. Grant 20260205059GH. January 2026–December 2028.
2. 2025–2028

   Laser ultrasonic endoscopic inspection modules and nondestructive testing instruments

   Participant. National Science and Technology Major Project on Intelligent Manufacturing Systems and Robotics. November 2025–October 2028.
3. 2025–2026

   CAS PIFI Distinguished Scholar Project

   Co-investigator / key personnel. Chinese Academy of Sciences. Grant 2026PD0109, 2025–2026.
4. 2025

   CAS President’s International Fellowship Initiative (PIFI)

   Project lead. Chinese Academy of Sciences international research exchange. Grant 2025PVB0099. January–December 2025.
5. 2024–2026

   AI-CFD software development, technical validation, and demonstration applications

   Subproject lead, October 2024–September 2026. National Key Research and Development Programme of China, AI-CFD Integrated General Simulation Software (grant 2024YFF1500600; programme period 2024–2028). Optical window stress birefringence algorithms, software implementation, and engineering integration.
6. 2024–2028

   Curvature-Driven Four-Dimensional Object Representation

   Co-investigator / key personnel. National Natural Science Foundation of China. Grant 12471502, 2024–2028.
7. 2024–2025

   Digital CIOMP programme: digital simulation and digital twins

   Project lead. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences. January 2024–December 2025.
8. 2024–2026

   CAS Category B talent research support

   Project lead. CIOMP, Chinese Academy of Sciences. January 2024–December 2026.
9. 2024–2026

   High-performance laser research and equipment

   Participant. Ministry of Industry and Information Technology. January 2024–June 2026.
10. 2023–2027

    Pulsed laser research

    Participant. CAS Strategic Priority Research Programme, Type A. October 2023–July 2027. Light-source prediction and prognostics and health management.
11. 2017–2023

    A New Partnership in Offshore Wind

    Participant. Engineering and Physical Sciences Research Council (EPSRC), grant EP/R004900/1. Programme period: November 2017–April 2023; research contribution at the University of Hull, 2020–2023.

Research Software

Browse downloadable research code and companion materials.

1. FE2Bifre / Stress Birefringence Analysis Software

   Finite-element stress input, stress birefringence analysis, ordered Jones propagation, optical path difference analysis, visualisation, and reporting. Applied to optical window adjustment and compensation design. Related paper code.
2. 2025

   Aero-Optical Analysis Software

   Python and Qt software for engineering data import, aero-optical metrics, analysis, and visualisation.
3. 2024

   WTBPerfPy / WTBPerf

   Python implementation of blade-performance calculations, with performance assessment and visualisation for wind turbine blade analysis.

4. BladePy

   Blade creation and design, including geometry preparation for finite-element analysis.
5. 2020–2023

   VOX-FE

   Software maintenance and development contributions to finite-element simulation, engineering workflows, and wind turbine blade lifetime assessment.

Patent

1. 2026

   Curved-layer Jones stress birefringence analysis method, system, and medium

   一种曲面分层琼斯应力双折射分析方法、系统及介质. Chinese invention patent, granted 9 October 2026. Applicant: CIOMP, Chinese Academy of Sciences. Application no. 202611194931.9.

Teaching and Supervision

1. 2026

   Pattern Recognition and Machine Learning

   UCAS / CIOMP, fall 2026. Course materials.
2. 2025–2026

   Artificial Intelligence and Neural Networks

   UCAS / CIOMP, spring 2025 and spring 2026. Course materials.
3. 2023

   Mathematics for Engineers

   University of Hull, spring 2023.
4. 2022

   Fluid Mechanics and Finite Element Method

   University of Hull, 2022.

5. Mathematics and Fluid Mechanics for Mechanical Engineers

   University of Hull. Course 500665.

6. Programming and Control

   University of Hull. Course 441059.

7. Postgraduate supervision

   Doctoral and master’s research through UCAS. The current record includes one doctoral student and seven master’s students. Two completed master’s students continued to doctoral study at UCAS. Supervision includes primary and collaborative supervision.

Awards and Honours

1. 2026

   Best Student Paper Award — SRSE 2026

   Our student paper, “Task-Aligned Variational CPAE with Stacking Ensemble Learning for CMP Material Removal Rate Prediction.”
2. 2026

   National Scholarships

   Two supervised master’s students received National Scholarships in 2026.
3. 2025

   Best Paper Award — DOCS 2025

   “Evolving Portfolio Heuristics: A Self-Correcting LLM Framework for Portfolio Optimization.”
4. 2025

   Best Paper Award — SRSE 2025

   “Integrating AI Agents with Classical Reliability Assessment via LLMs of Semiconductor Lasers.”
5. 2025

   Best Student Paper Award — SRSE 2025

   Our student paper, “Phase-Modulated LSTM for the Degradation Prediction of Chemical Mechanical Planarization.”
6. 2025

   Best Session Presentation — SRSE 2025

   Our student/team presentation, “Multi-Objective Optimization Framework for Maintenance and Reliability of Optical Systems.”
7. 2025

   Jilin Province High-Level Talent, Category D

   Jilin Province Talent Classification Review Committee, May 2025.
8. 2024

   Changbai Talent Program for Overseas Young Talents

   Jilin Provincial Party Committee and Jilin Provincial Government, November 2024.
9. 2023

   Chinese Academy of Sciences Young Talents Programme

   Selected in 2023; programme period 2024–2027.
10. 2021

    Editor’s Choice — Journal of Aerospace Engineering

    “Reliability-based lifetime fatigue damage assessment of offshore composite wind turbine blades,” ASCE, 2021.