Moamin Alabdullah

Background

About Moamin Alabdullah

As a master thesis student at Heraeus Comvance, I investigate a deep learning-based approach for crack segmentation in a product using CT scan images. This project aims to improve the quality and efficiency of optical fiber production, which is essential for high-speed data transmission and communication. With my educational background and four years of working experience as a biomedical engineer at the Ministry of Health, I have developed strong skills in evaluating medical equipment specification and quantities. I also have two years of experience in Python and Computer vision (deep learning-based).I am passionate about applying my knowledge and skills to solve real-world problems and create innovative solutions that can enhance human health and well-being. I am eager to collaborate with other professionals and researchers who share my vision and values.