Personal profile


Dr Xuefei Wang currently works as a postdoctoral research associate in mooring analysis and design for offshore wave energy converter (WEC) survivability and fatigue (MoorWEC) project at The University of Manchester, supervised by Prof Peter Stansby and Dr Long Zhang. He is also one of the members of the Wind Turbine Pitch Bearing and Blade Laboratory at the University of Manchester.

His research focuses on investigating advanced data-driven methods including but not limited to time-frequency analysis, intelligent control, machine and statistical learning, system identification methods etc. and their applications in industrial renewable energy area. His particular research interests lie in wind and wave energy applications, for example, wind turbine blades condition assessment and fault diagnosis, fatigue lifetime prediction and wave energy converter design, modelling and analysis.


My group

            A9, The Ferranti Building, The University of Manchester

Memberships of committees and professional bodies

  • Teaching assistant

  • PostGraduate Researcher Representative

  • Dept. Health and Safety Committee member


Dr Wang was born and raised in Shanxi province before heading north to Beijing to study automation science at Beihang University (BUAA) in China. In the third year, he took the opportunity to study abroad as an exchange student at the University of California, Los Angeles (UCLA) learning public management and sociology before coming back to Beijing to complete the final year of his B.Sc. degree. After graduation he went abroad again to Manchester to study Advanced Control and Systems Engineering at the University of Manchester, the city where its study originated. After completing the M.Sc. degree he applied to become a PhD student with the same department, and he was awarded the degree of PhD in late 2022, Manchester. He is now a postdoctoral research associate.

Education/Academic qualification

Doctor of Philosophy, Data-driven methods and their applications in wind energy, The University of Manchester


Master of Science, Advanced Control and Systems Engineering, The University of Manchester


Bachelor of Science in Engineering, Automation Science, Beihang University (BUAA)



  • Control Theory
  • System Identification
  • Data Processing
  • Renewable Energy
  • Structural Health Monitoring
  • Mechanical Analysis
  • fatigue prediction


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  • Neil Munro Prize

    Wang, Xuefei (Recipient), Dec 2018

    Prize: Prize (including medals and awards)