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Name
Hsiu-Chen Wen
Position
Assistant Professor
Contact
Office Number：410 Civil Engineering Building
Tel：03-2654230
E-mail： hcwen@cycu.edu.tw
Educational Background
Ph.D., Department of Civil and Construction Engineering, National Taiwan University of Science and Technology
M.S., Department of Civil and Construction Engineering, National Taiwan University of Science and Technology
B.S., Department of Civil Engineering, Chung Yuan Christian University
Professional Experience and Service
Postdoctoral Researcher, Department of Civil and Construction Engineering, National Taiwan University of Science and Technology (Sep. 2023 – Jul. 2026)
Assistant Engineer Intern, Taiwan Kumagai Co., Ltd. (Mar. 2014 – Sep. 2015)
Committee Member, Research and Development Committee, Chinese Taipei Tunnelling Association (Apr. 2026 – Present)
Committee Member, Youth Committee, Chinese Taipei Tunnelling Association (Apr. 2026 – Present)
Committee Member, Tunnel Safety Management Committee, Chinese Taipei Tunnelling Association (Mar. 2024 – Present)
Executive Secretary, Awards Committee, Chinese Taipei Tunnelling Association (Apr. 2019 – Dec. 2021)
Visiting Ph.D. Student, Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, USA (Jul. 2017 – Dec. 2017)
Journal Reviewer, KSCE Journal of Civil Engineering and Earthquake Spectra
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Professional Training and Certification
- Certificate of Completion, MTS Hardware Concepts and 793 Software, MTS Systems Corporation
Expertise and Research Fields
- Rock Mechanics, Tunnel and Slope Engineering
- Numerical Analysis in Geotechnical Engineering
- Spatial Variability and Uncertainty Analysis of Geomaterials
- Soil Dynamics and Soil Liquefaction
- Urban Geohazards and Artificial Intelligence Applications
Future Research Directions
- umerical Analysis and Soil–Structure Interaction of Tunnels, Slopes, and Underground Structures
- Dynamic Soil Behavior, Soil Liquefaction, and Earthquake Geotechnical Engineering
- Spatial Variability, Uncertainty, and Random Field Analysis of Geomaterials
- Monitoring, Prediction, Numerical Simulation, and Risk Assessment of Urban Road Subsidence and Underground Pipeline Hazards
- Applications of Artificial Intelligence, Machine Learning, and Data-Driven Methods in Geotechnical Engineering
