头像

Licheng ZHOU

Associate professorDoctoral Supervisor,

Tel:

Email: ctlczhou@scut.edu.cn

Department: School of Civil Engineering and Transportation

Office Location: Transportation Building, No. 381, Wushan Road, Tianhe District, Guangzhou, China

Research Interests: Solid Mechanics
  • Biography
  • Education
  • Admission Information
  • Work Experience
  • Social Position
  • Research Areas
  • Courses Taught
  • Research Project
  • Selected Publications
  • Achievements
  • Patent
  • Honor
  • Software achievement

Biography

Licheng ZHOU, Professor and Doctoral Supervisor, earned his Bachelor's degree from the University of Science and Technology of China in 2010 and his Ph.D. from Peking University in 2015. He is a recipient of the National Natural Science Foundation for Young Scientists (Type B) [formerly the Excellent Young Scientists Fund] (2025). He currently serves as the Vice Chair of the AI Experimental Mechanics Group of the Chinese Society of Theoretical and Applied Mechanics and the Deputy Secretary-General of the Guangdong Society of Theoretical and Applied Mechanics. He also holds editorial board positions, including Youth Editorial Board Member for Acta Mechanica Sinica(JCR Q1), Theoretical and Applied Mechanics Letters(JCR Q2), and Applied Mathematics and Mechanics(Chinese Core), and Editorial Board Member for Experimental Mechanics(Chinese Core). His research focuses on AI-based structural health monitoring technology and the integrated design of electromagnetic wave-transparent/stealth structures, specifically developing AI-driven methods to extract health indicators from monitoring data of large engineering structures and creating efficient multi-objective optimization design methods for electromagnetic/mechanical structures. His work supports major bridges in the Greater Bay Area and relevant national defense units. He has led four National Natural Science Foundation projects, one Guangdong Provincial Natural Science Foundation project, one Guangzhou Science and Technology Plan project, and one China Postdoctoral Science Foundation project, and has participated as a key member in several key national and provincial projects. To date, he has published over 30 SCI papers as first or corresponding author, with several appearing in flagship journals such as Composites Science and Technology, Engineering Structures, and IEEE Transactions on Antennas and Propagation. He has received awards including the Second Prize of the Guangdong Provincial Science and Technology Progress Award and the Second Prize of the Science and Technology Award from the Guangdong Provincial Society of Civil and Architectural Engineering.

Education

  1. Sep 2010-Jul 2015, Ph.D. in Solid Mechanics, Peking University

  2. Oct 2012-Oct 2013, Joint Ph.D. Training in Mechanical Science and Engineering, Nagoya University

  3. Sep 2006-Jul 2010, B.S. in Theoretical and Applied Mechanics, University of Science and Technology of China

Admission Information

WorkExperience

Social Position

Research Areas

1. AI and Robotics-based Structural Health Monitoring Technology
This research direction integrates intelligent robots (such as unmanned aerial vehicles and climbing robots) to achieve intelligent collection of multi-source mechanical response data from engineering structures. It utilizes deep learning algorithms to extract damage-sensitive features correlated with structural health status from spatially and temporally sparse monitoring data, thereafter establishing effective damage identification methods. The outcomes are applicable to the health monitoring of large-scale bridges, high-rise buildings, dams, mechanical equipment, and aerospace structures.
2. AI-driven Integrated Design of Electromagnetic Wave-transparent/Stealth Structures
This research focuses on employing deep learning to establish multi-objective optimization design methods for electromagnetic wave-transparent/stealth structures, addressing the inefficiency and ineffectiveness of traditional design approaches. The results can be applied to the design of key components such as new-generation aircraft smart skins, and radomes for missiles and rockets in the aerospace and defense sectors.

Courses Taught

1. Theoretical Mechanics (Compulsory Course)


2. Experimental Mechanics (Compulsory Course)


3. Machine Learning (Elective Course)

Research Project

Selected Publications

  • Lu, Yonghui; Tang, Liqun; Chen, Chengbin; Zhou, Licheng*; Liu, Zejia; Liu, Yiping; Jiang, Zhenyu; Yang, Bao,Reconstruction of structural long-term acceleration response based on BiLSTM networks,Engineering Structures,2023

Achievements

Patent

Honor

Software achievement