Structural Sensing and Mechanics Group
Lead by Prof. Shenghan ZHANG
Structural Engineering
Structural Health Monitoring
Structural Analysis
Data Science
Current Member
Mengze LYU
(律梦泽)
Post-doctral Fellow
- Ph D – Tongji University
- B. E and M. E – Tongji University
Dr. Meng-Ze Lyu (born in 1994) is a postdoctoral fellow at Department of Civil & Environmental Engineering, Hong Kong University of Science & Technology. He earned his B.Sc. (2015), M.Eng. (2017), and Ph.D. (2022) degrees from Tongji University. His primary research focus lies in stochastic dynamics and reliability analysis. Dr. Lyu’s investigations include the development of dimension-reduced probability density evolution equation (DR-PDEE) for probabilistic responses and reliability analysis of high-dimensional nonlinear stochastic dynamical systems, the analytical and numerical methods for the time-variant extreme value distribution of Markov processes, and the applications in structural seismic safety assessment and design optimization. Dr. Lyu has authored a translated book and published 27 peer-reviewed English journal papers, 2 Chinese journal papers, and 12 chapter /conference full papers, with a total of over 360 citations and a single-paper citation record exceeding 40 (Google Scholar H-index 11). He has been invited to deliver two plenary keynote speeches and four invited talks at international and domestic conferences. He has also been involved in organizing 14 mini-symposia of international conferences. Dr. Lyu serves as the deputy secretary-general of the Committee of Random Vibration of the CSVE since 2023, and was selected for Shanghai Postdoctoral Excellence Program in 2022.
Research Area:
- Stochastic dynamics
- Reliability analysis
- Random vibration
- Uncertainty propagation
- Optimization design
Hobbies: History, Geography, Chinese Classical Poetry, Swimming
Gang ZHAO
(赵刚)
Post-doctral Fellow
- Ph D – Dalian University of Technology
- B. E and M. E – Wuhan University of Technology
Research Area:
- Constitutive relationship of interface
- Defect detection
- Multi-scale modeling, mechanical characterization and structural optimization
- Joining technology of carbon fiber-reinforced composite
Hobbies: Swimming
Sudao HE
(何苏道)
Post-doctral Fellow
- Ph D – Control Theory and Control Engineering, NUAA
- B.E – Nanjing University of Aeronautics and Astronautics (NUAA)
Sudao’s research interests include digital twin with incomplete and unreliable data, and its application in fault diagnosis and structural health monitoring.
Research Area:
- Digital Twin
- Structural Health Monitoring
- Fault Diagnosis
- Machine Learning, especially zero-shot learning, incremental learning and generative learning
Hobbies: Basketball, Fitness, Badminton.
Hanqing ZHANG
(张寒青)
Post-doctral Fellow
- Ph D – Civil Engineering, Tongji University
- B. E – Department of Civil Engineering, Tongji University
Hanqing is currently a post-doctoral fellow in the Structural Sensing and Mechanics Group at the HKUST. She has received her Diploma in Civil Engineering from Tongji University in China (2017). In 2023, she successfully defended the Ph.D. thesis entitled “Data-driven seismic damage evaluation method for shear wall structures”. The main idea of the thesis was to propose a novelty seismic damage evaluation method leveraging Structural Health Monitoring (SHM) data for rapid and accurate post-earthquake safety assessment and decision. From 2021 to 2023, she experienced a two-year visit study to the Chair of Structural Mechanics and Monitoring at ETH Zürich.
Since February 2024, she joined the HKUST to continue her research. Her current research interest lies in the condition assessment of structures adopting SHM data and the post-earthquake performance evaluation for infrastructures. Hopefully, she can contribute to unlocking the potential of seismic damage evaluation by fusing different sensor data and corresponding post-earthquake decision-making frameworks.
Research Area:
- Structural Health Monitoring
- Intelligent Seismic Damage Assessment of Engineered Systems
- Post-earthquake Structural Performance Evaluation
- Structural Vibration Control
Hobbies: Cooking, Hiking, Snowboarding.
Yongquan LI
(李泳全)
Post-doctral Fellow
- Ph D – Zhejiang University
- B. E – Wuhan University of Technology
Research Area:
- Structural Engineering
- Earthquake Engineering
- Structural Integrity
- Precast Reinforced Concrete Structures
Hobbies: Movie, Badminton, Fitness, Reading
Cong CHEN
(陈聪)
Research Assistant
- M. E – Civil Engineering, Lanzhou University
- B.E – Lanzhou Univeristy
Research Area:
- Structural Analysis
- Optical Fiber Sensors
Hobbies: Table tennis, Reading.
Jun CHEN
(陈军)
Ph D. Student
- M. E – Architecture & Civil Engineering, Southeast University
- B.E – Beijing University of Technology
Research Area:
- Structure Mechanism
- Earthquake
- MiC
- Finite Element Method
- Constitutive Model
Hobbies: Badminton, Hiking.
Xuanyi LU
(鲁选一)
Ph D. Student
- M. E – Bridge and Tunnel Engineering, SWJTU
- B.E – Southwest Jiaotong University (SWJTU)
Research Area:
- Structural Engineering
- Optical Fiber Sensors
Hobbies: Basketball, Thriller movies, Pop music.
Zetao Wang
(王泽涛)
Ph D. Student
- M. E – Architectural and Civil Engineering, Tongji University
- B.E – Tongji University
Research Area:
- Structural Dynamics
- Structural Analysis
- Machine Learning
Hobbies: Reading, Movies, Video Games.
Hanpeng Wang
(王汉鹏)
Ph D. Student
- M. E – Disaster Mitigation for Structures, Tongji University
- B.E – Civil Engineering, Southeast University
Research Area:
- Structure Health Monitoring
- Advanced Sensing Technology
Hobbies: Hiking, Films, Bouldering.
Former Member
Daniz TEYMOURI
Former member (2023-2024 Post-doctral Fellow )
- Ph D – Civil Engineering, Hong Kong University of Science and Technology
- B. E and M. E – Iran University of Science and Technology
Daniz is a former post-doctoral fellow in the Structural Sensing and Mechanics Group at the Hong Kong University of Science and Technology. Her specialization is in Data-driven Methodologies for Inverse Problems in Structural Health Monitoring. Her research interests include Virtual Sensing Techniques for Response Reconstruction and System Identification, Uncertainty Quantification in Inverse SHM Problems, and Physics Informed Machine Learning.
In the Structural Sensing and Mechanics group, Daniz focuses on conducting high-caliber research to address Structural Dynamics problems. She strongly believes in teamwork and collaborative research and highly values mentorship and continuous learning. Daniz actively participates in teaching and extracurricular activities and is always available to answer questions.
Research Area:
- Uncertainty Quantification
- Bayesian Inference
- Virtual Sensing
- Finite Element Model Updating
- Probabilistic Machine Learning