Summary
Mahmoud Mostapha is a Senior Key Expert in Reconstruction and Image Quality at Siemens Healthineers with eight years of experience developing physics-informed AI for medical imaging. He led research that helped ship Deep Resolve, an AI-powered MR reconstruction technology that accelerates scans by blending deep learning with imaging physics. A PhD candidate at UNC Chapel Hill with a strong academic track record, Mahmoud has developed novel deep generative methods, surface-based convolutional learning, and multi-task frameworks for challenging biomedical imaging problems. His background spans hands-on algorithm development, clinical-grade productization, and teaching large university courses, giving him a rare mix of research rigor and production delivery. Based in New Jersey, he combines expertise in inverse problems, uncertainty quantification, and segmentation to improve diagnostic image quality. Less obvious: his work repeatedly bridges non-Euclidean geometry and practical clinical pipelines, turning advanced manifold methods into deployable tools.
8 years of coding experience
12 years of employment as a software developer
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Mansoura University
Doctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at University of Louisville
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at The University of North Carolina at Chapel Hill
Arabic, English