معرفی
Hai Zhang is a Research Fellow affiliated with the Computer Vision and Systems Laboratory at Université Laval. His work focuses on interdisciplinary research spanning Computer Vision, Machine Learning, Non-Destructive Testing, and Materials Science. He specializes in developing advanced algorithms for defect detection, image processing, and material analysis leveraging techniques like infrared thermography, terahertz imaging, and deep learning models such as Faster R-CNN and Swin Transformers.
His research also intersects with financial modeling, exploring topics like debt overhang and option compensation. Zhang’s contributions to privacy-preserving distributed learning and optimization algorithms further highlight his expertise in computational methods. He has published extensively on topics including super-resolution imaging, finite element analysis for material inspection, and mathematical theories of electromagnetic phenomena.
Zhang’s work frequently emphasizes practical applications in cultural heritage conservation, medical imaging, and industrial material evaluation. His interdisciplinary approach bridges theoretical advancements with real-world problem-solving, particularly in non-invasive inspection techniques for art, historical artifacts, and engineering materials.
