Prof. Chizhi Chris Zhang
Associate Professor in Data Science
PhD Supervisor in Signal Processing
University of Chinese Academy of Sciences (UCAS)
The Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Chinese Academy of Sciences (CAS)
zhangchizhi@ciomp.ac.cn
"Numbers rule the universe."
Pythagoras
Biography
Chizhi Chris Zhang is an Associate Professor at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, and a PhD Supervisor in Signal Processing at the University of Chinese Academy of Sciences.
His research interests include data-driven reliability, prognostics and health management, signal processing, and artificial intelligence for engineering systems. He works on predictive modelling, diagnosis, prognosis, and health assessment, with particular attention to uncertainty, interpretability, and practical deployment.
He is based at the Advanced Computing and Digital Technology Research Centre in CIOMP and contributes to postgraduate teaching and PhD supervision through UCAS. His work brings together statistical learning and engineering analysis for reliability-critical applications.
News
Presented recent work on acoustophoretic separation of circulating tumor cells at the 15th International Conference on Hydrodynamics in Rome.
Began the current academic stage at CIOMP and UCAS, bringing together digital engineering, signal processing, PHM, and doctoral supervision.
Selected for the Hundred Talents Program of the Chinese Academy of Sciences.
Academic Appointments
Education
Formal degree study is listed together with clearly marked non-degree academic study and prior undergraduate study.
Selected Publications
Selected outputs from the full faculty CV, including journal articles and refereed conference proceedings.
- Reliability-based lifetime fatigue damage assessment of offshore composite wind turbine blades
- Fatigue damage assessment of wind turbine composite blades using corrected blade element momentum theory
- Stochastic modelling fatigue crack evolution and optimum maintenance strategy for composite blades of wind turbines
- Evolving Portfolio Heuristics: A Self-Correcting LLM Framework for Portfolio Optimization
- Reliability Analysis of Photovoltaic Modules Based on Joint Bayesian Model
- Integrating AI Agents with Classical Reliability Assessment via LLMs of Semiconductor Lasers
- Proactive maintenance strategy for submarine pipelines based on stochastic modelling of deterioration due to corrosion
Browse the full publications page for journal articles, refereed conference proceedings, invited talks, and software outputs.
Teaching & Supervision
- Artificial Intelligence and Neural Networks
- Mathematics and Fluid Mechanics for Mechanical Engineers
- Programming and Control
- Graduate teaching in data-driven engineering, modelling, and advanced analytics
- Data science and predictive modelling for engineering systems
- Reliability, PHM, and signal-informed analysis
- AI for simulation and intelligent engineering systems
Primary supervisor for 1 PhD student and 3 master's students currently in progress, with 2 master's students previously supervised to completion. Co-supervision has also supported additional postgraduate researchers, including student award outcomes at SRSE 2025.
Awards
Chinese Academy of Sciences Hundred Talents Program, 2024--2027.
Jilin Province Overseas High-Level Young Talent Program (Changbai Talent Program), 2024--2029.
Jilin Province Provincial Talent Program D, 2025--2030.
Conference distinctions: Best Paper Award at DOCS 2025; Best Paper Award at SRSE 2025; student supervision leading to Best Student Paper Award and Best Session Presentation at SRSE 2025.