Assistant of Department Head | Wuhan University of Technology | China
Short Biography 🌟
Selby Liu Yingqi is a dedicated researcher and educator in the field of Structural Engineering, specializing in resilient seismic design and modular construction. With a robust academic background from HKU and WHUT, he has excelled in both research and practical applications of engineering principles.
Profile:
ORCID
Education 📚
Selby Liu Yingqi earned his PhD in Structural Engineering from The University of Hong Kong (HKU), where he was recognized for his outstanding contributions as a Teaching Assistant and achievements in academic competitions. Prior to his doctoral studies, he completed both his Master’s and Bachelor’s degrees in Road & Railway Engineering and Road & Bridge Engineering respectively at Wuhan University of Technology (WHUT).
Experience 💼
Selby Liu Yingqi’s professional journey includes roles as Assistant Professor at WHUT and Honorary Research Associate Professor at HKU. His research has spanned various projects such as the Long-term Behavior of Modular Integrated Construction (MiC) and Resilient Seismic Design for Precast Segmental Bridge Columns.
Research Interests 🌐
His research interests primarily focus on resilient seismic design, modular construction techniques, and the application of intelligent technologies in bridge engineering, aiming to enhance structural resilience and sustainability.
Awards 🏆
Selby Liu Yingqi has been recognized with multiple awards throughout his academic career, including the Outstanding Teaching Assistant Award and the 2nd Runner-up in the Three Minute Thesis (3MT) competition at HKU.
Publications 📄
- Resilience-Based Design for Next-Generation Bridge Design and Construction Workshop, Structures (SCI), 2021
- Seismic Assessment of Existing Bridges in Regions of Low to Moderate Seismicity, CIC project, HKU
- Long-term Behavior of MiC Concrete Buildings, Modular Integrated Construction Laboratory (MiCLab), HKU
- Study on the Structural Force of Primary Lining in Shallow Buried Bias Tunnel based on Back Analysis Method, Master Thesis, WHUT
- Integrated Application of Intelligent Operation and Maintenance Technology for Hong Kong-Zhuhai-Macao Bridge, Shenzhen Research Institute of HKU