Scholarly Output

Full Publications

A fuller record of journal articles, refereed conference proceedings, invited talks and conference presentations, and research software outputs by Chizhi Chris Zhang. This page is intended as the longer companion to the selected publications shown on the homepage.

Journal Articles

Selected journal publications currently reflected in the academic materials used for this site.

  1. 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.New
  2. 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, 2026. ScienceDirect · Data and scripts.New
  3. 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
  4. 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.
  5. 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.

Refereed Conference Proceedings

Proceedings papers include reliability engineering, AI-enabled modelling, predictive maintenance, and data-driven optimisation.

  1. 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
  2. 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.
  3. 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), 2025.Best Paper
  4. 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), 2025.Best Student Paper
  5. 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
  6. 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.
  7. Optimizing wind turbine maintenance strategies through reliability deteriorating modeling
    C. Zhang, H. Zhang, and J. Jiang, in Proc. Advances in Civil, Environmental, & Materials Research (ACEM24), 2024.
  8. 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.
  9. 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. 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.

Invited Talks and Conference Presentations

Talks and presentations with independent academic visibility are listed separately from proceedings papers.

  1. Integrating AI Agents with Classical Reliability Assessment via LLMs of Semiconductor Lasers
    C. C. Zhang. Academic presentation at the 2025 Annual Meeting of the Reliability Society of the Operations Research Society of China, 6 December 2025.
  2. Bayesian Inference Framework for Robust Reliability Assessment of Offshore Wind Turbine Blades in Data-Limited Environments
    C. C. Zhang. Keynote lecture at the 6th International Conference on Health Monitoring of Civil & Maritime Structures (HeaMES 2025), London, 23-24 June 2025.Keynote

Software and Research Outputs

Software outputs listed here reflect tools, engineering workflows, and research interfaces described in the current CV materials.

  1. Aero-Optical Analysis Software
    Python + Qt software for data import, metric calculation, and visualisation for aero-optical analysis, used in internal projects and teaching demonstrations, 2025.
  2. Stress Birefringence Analysis Software
    Python + Qt software for stress-induced birefringence and optical path difference analysis, visualisation, and report export for optical component reliability analysis, 2025.
  3. WTBPerf Blade Performance Assessment Tool
    Python + Qt research utility for blade performance calculation and visualisation, used as a preprocessing tool for wind turbine blade performance and lifetime studies, 2024.
  4. VOX-FE Engineering Simulation and Lifetime Assessment Workflow
    Engineering simulation and fatigue-life workflow developed during postdoctoral research for offshore wind turbine blade assessment, project delivery, and internal validation, 2020-2023.