Qiang Fang is a Ph.D. candidate in the Computer Vision and Systems Laboratory of Laval University in Quebec City, Canada. As a member of the multipolar infrared vision Canada Chair (MIVIM), his research interests are in deep learning algorithms for defects detection in the nondestructive evaluation of materials by infrared thermography.