Yonggang Wang is a doctoral researcher from KU Leuven. He received his master’s degree in China on the topic of nondestructive testing via magneto-optical imaging, a technic detecting defects by capturing images of the abnormal magnetic field when cracks exist in the magnetized oil pipelines. In 2019, he started as a PhD student in the KU Leuven LMSD Research group. Now his focus is using the camera to measure the dynamic properties of mechanical components and systems. Besides traditional modal analysis methods to analyze the vibration modes, he also specializes in image processing and optimization algorithms to extract sub-pixel motion and mode shapes from the camera data.