Xiao Chen

Xiao Chen is a Researcher at the Technical University of Denmark (DTU), specializing in advanced testing and digitalization of composite and offshore steel structures for wind energy systems. With a PhD from Nagoya University (2011), his work focuses on structural integrity, fatigue analysis, and Digital Twins for wind turbine blades.

• PhD in Engineering, Nagoya University (2011)
• Senior Researcher (2019–present) and Researcher (2017–2018) at DTU
• Associate Professor (2016–2017) and Assistant Professor (2013–2015) at Chinese Academy of Sciences

His research explores nonlinear buckling, fracture mechanics, and Industry 4.0 technologies for structural health monitoring. Recent publications highlight AI-driven damage detection, thermographic analysis, and finite element modeling of composites. He leads projects like QualiDrone and AQUADA-GO, funded by EUDP and VILLUM FONDEN.

Key article trends include composite fatigue, digital twins, drone-based inspection, and machine learning for structural monitoring. He received the 2022 Best Presentation Award at an international conference.

Projects:

• Villum Experiment Project DiscoverBlaDE
• AQUADA-GO
• QualiDrone
• DARWIN
• RELIABLADE
• RELIfe