Group
Ph.D. STUDENTS
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M.S. STUDENTS
Guan-Hao Tseng | Development of Earthquake Early Warning | |
Hao-Zhe Lin | Wind Turbine Blade Monitoring | |
Zong-Zhi Lai | Comparison of Data-driven System Identification | |
Shih-Hsiang Lo | Reinforcement Learning for Structural Control | |
Yu-Yi Tseng | Applications of Physics-informed Neural Network in Monitoring | |
Wei-Chi Chen | Application of Unscented Kalman Filter in Monitoring | |
Jyun-Lin Chen | Application of Inerter in Outrigger Building System | |
Yen-Feng Chiang | TBD | |
Qiao-Ying Wang | TBD |
B.S. STUDENTS
Shi-Zhe Huang | Damper Selection of Outrigger Structural System for High-Rise Building | |
Wei-Lun Wu | Monitoring of Long-span Bridge | |
Chih-Hsien Hsu | Generation of Spectrum-compatible Earthquake Waveforms using VAE |
FORMER STUDENTS
Fu-Chung Chi | Derivation of Recursive Subspace Identification and Its Applications on Structural Health Monitoring | |
Wei-Ting Chao | Generating Artificial Earthquake Time History using Conditional Generative Adversarial Networks | |
Tian-Xun Lin | Using Machine Learning Strategies and Method Correction for Data Anomaly Classification in SHM | |
Yi-Xun Lin | Conditional Generation of Artificial Earthquake Time History using Variational Autoencoder | |
Hung-Chun Huang | Development of Post-earthquake Structure Displacement Monitoring Program based on Inertial Measurement Unit Fusion Kalman Filter | |
Yong-Hui Zhong | Optimal Design and Numerical Verification of Mass Dampers in Base-Isolated Buildings | |
You-Jing Li | Modal-based Structural Damage Identification and Classification using Triplet Variational Autoencoders and Machine Learning Techniques | |
Jin-Quan Chen | Theoretical Derivation of Recursive Stochastic Subspace Identification and Its Applications on Structural Health Monitoring | |
Chia-Yu Chou | Using VAE and GAN to Generate Artificial Earthquake Waveforms for Applications in Earthquake Engineering | |
Wei-Ling Chen | Generation of Artificial Earthquake Waveforms using Variational Autoencoder and Generative Adversarial Network |