Dr Zuo Zhu

Dr Zhu is a Postdoctoral Research Fellow in the Vibration Engineering Section. Before joining Exeter, he worked as a Research Fellow at Nanyang Technological University (Singapore). Dr Zhu obtained his BEng and MEng from Dalian University of Technology (China) and PhD from the University of Liverpool (UK), all in Civil Engineering. He now works on an EPSRC programme entitled "Revolutionising Operational Safety and Economy for High-value Infrastructure using Population-based SHM (ROSEHIPS)" (https://pbshm.ac.uk/). He carries out vibration testing on full-scale structures and works on cutting-edge machine learning methodologies based on transfer learning for population-based structural health monitoring.

Dr Zhu performs fundamental and applied research in structural health monitoring. Recent research in this area focuses on the Bayesian approach for system identification of full-scale structures and population-based structural health monitoring. He developed efficient algorithms for Bayesian operational modal analysis in different contexts (e.g., single-setup and multiple-setup data with close modes, structure with TMD), which have been applied to evaluate the performance of landmark structures (e.g., SEG Plaza (China), Rainbow Suspension Bridge (Japan), Clifton Suspension Bridge (UK), etc). Dr Zhu is experienced in full-scale dynamic testing of structures and has contributed to a series of consultancy projects on structural vibration testing of various structural systems (e.g., long-span bridges, footbridges, super-tall buildings, lighthouse, etc) and deep sea sensing. 

Research interests

• Structural Health Monitoring 
• Machine Learning & its application in Civil Engineering 
• System Identification   
• Structural Dynamics   
• Full-scale Vibration Test   
• Operational Modal Analysis   
• Bayesian Method
• Model Updating   
• Vibration Control