Zhen Guo | Renewable Energy | Editorial Board Member

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Dr. Zhen Guo | Renewable Energy | Editorial Board Member

Dr. Zhen Guo | Wuhan University of Technology | China

Dr. Zhen Guo is an emerging researcher specializing in intelligent fault diagnosis, deep learning, anomaly detection, and engineering signal processing, with emphasis on developing reliable data-driven methods for modern industrial systems. His work addresses key challenges in rotating machinery, gearboxes, propellers, and wind turbines by integrating advanced machine learning models with domain-specific signal processing techniques to enhance diagnostic accuracy under real-world constraints. Dr. Guo’s research explores multi-scale wavelet decomposition, adaptive feature fusion, and high-dimensional sampling strategies to mitigate multi-level class imbalance and improve the robustness of condition-monitoring frameworks. He has introduced innovative unsupervised anomaly detection approaches using deep convolutional support generative adversarial networks, enabling effective detection in scenarios where labeled data are insufficient or costly. His contributions also include transfer-learning architectures with channel-attention residual networks and LLM-assisted fine-tuning to achieve few-shot fault recognition in complex systems such as autonomous underwater vehicle propellers. Additionally, he has advanced wavelet-random-forest methods for modeling high-dimensional imbalance samples and proposed unified pattern-fusion strategies for mining alarm data in large-scale industrial facilities using adaptive discretization and time-clustering mechanisms. Dr. Guo’s work published in leading journals such as Mechanical Systems and Signal Processing, Scientific Reports, Ocean Engineering, Measurement, and Measurement Science and Technology demonstrates his commitment to bridging the gap between theoretical advances and practical reliability engineering. Supported by competitive research funding, he continues to design predictive frameworks that improve equipment health assessment, Remaining Useful Life estimation, and maintenance decision-making across industrial environments, contributing significantly to the advancement of intelligent diagnostic technologies.

Profile: Scopus | ORCID

Featured Publications

Guo, Z. (2025). Multi-scale wavelet decomposition and feature fusion for rotating machinery fault diagnosis under multi-level class imbalance. Mechanical Systems and Signal Processing.

Guo, Z. (2025). Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network. Scientific Reports, (Published July 1, 2025).

Guo, Z. (2025). Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers. Ocean Engineering.

Guo, Z. (2025). Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest. Measurement.

Guo, Z. (2025). Alarm data mining in complex industrial facilities using adaptive discretization based on time clustering and unified pattern fusion mining. Measurement Science and Technology, (Published January 31, 2025).

Shuiting Ding | Renewable Energy | Best Researcher Award

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Prof. Shuiting Ding | Renewable Energy | Best Researcher Award

Dean | Beihang University | China

Prof. Shuiting Ding is a distinguished scholar and leader in aerospace engineering, serving as President of the Civil Aviation University of China and a Changjiang Scholar Distinguished Professor. He has held key national roles, including Chief Scientist of the National Defense 973 Program and leader of the Ministry of Education’s Innovation Team for Aero-Engine Safety and Airworthiness. Renowned for his research on complex aero-engine systems and safety, he has authored numerous publications, secured multiple patents, and received prestigious national and provincial awards, establishing himself as a leading figure in civil aviation science and technology innovation.

Publication Profile

Scopus

Orcid

Academic Background

Prof. Shuiting Ding is a highly accomplished academic and leader in the field of aerospace engineering with a strong educational and professional foundation. As President of the Civil Aviation University of China and a Changjiang Scholar Distinguished Professor, he has combined his academic expertise with leadership excellence. His career has been marked by appointments as Chief Scientist of the National Defense Program and leader of the Ministry of Education’s Innovation Team for Aero-Engine Safety and Airworthiness. With extensive research on aero-engine systems, numerous patents, and acclaimed awards, he has advanced civil aviation science and technology innovation globally.

Professional Experience

Prof. Shuiting Ding is a renowned expert in aerospace engineering who has dedicated his career to advancing aero-engine safety and airworthiness. He serves as President of the Civil Aviation University of China and has previously held influential roles such as Director of the Ministry of Education’s Advanced Aero-Engine Collaborative Innovation Center and Deputy Head of the Safety and Airworthiness Group for the Two-Aircraft Special Project. His leadership in major national research programs, extensive publications, patented innovations, and recognition through prestigious honors reflect his outstanding contributions to civil aviation science and his enduring impact on aerospace research and education.

Awards and Honors

Prof. Shuiting Ding has earned widespread recognition for his outstanding contributions to aerospace engineering and civil aviation. He has been honored as a Leading Talent in Civil Aviation Science and Technology Innovation and has received the prestigious Feng Ru Aviation Science and Technology Elite Award from the Chinese Society of Aeronautics and Astronautics. In addition, he has been acknowledged as an Outstanding Talent of Tianjin and selected among the Leading Talents of Beijing. His achievements have also been recognized with the State Council Special Allowance, highlighting his remarkable influence and enduring impact on national scientific and technological progress.

Research Focus

Prof. Shuiting Ding has devoted his research to advancing the safety, reliability, and innovation of complex aero-engine systems. His work emphasizes aero-engine safety and airworthiness, addressing critical challenges in the design, testing, and performance of civil aviation engines. He has played a central role in major national projects that push the boundaries of aerospace technology while ensuring safety standards. His research outcomes include influential publications, patents, and monographs that have guided both academic inquiry and practical applications, strengthening the integration of scientific discovery with engineering practice and shaping the development of future civil aviation advancements.

Publication Top Notes

LCA and TEA analyses of bio-jet fuel prepared from Arundo donax

Year: 2025 | Cited by: 1

Conclusion

Prof. Shuiting Ding is a distinguished scholar and leader in aerospace engineering, widely recognized for his pioneering research on aero-engine safety and airworthiness. Serving as President of the Civil Aviation University of China and holding prestigious national roles, he has made significant contributions through extensive publications, patents, and impactful projects. His leadership and innovation have earned him multiple honors, reflecting his influence in advancing civil aviation science and technology, and positioning him as a strong candidate for the Best Researcher Award.