Summary
Ramy Zeineldin is an Assistant Professor and medical AI researcher with nine years of experience building explainable, vision-driven systems for surgery and medical robotics. He earned a summa cum laude doctorate from KIT for work on AI-guided neurosurgery, followed by postdoctoral roles at FAU and Reutlingen where he developed intraoperative planning and robotic support tools. His publications in top venues (MedIA, IEEE TBME, MICCAI) and awards — including the KIT Best Doctoral Dissertation Award and 1st place in the MICCAI BraTS Challenge — underscore a track record of high-impact, reproducible research. He co-founded an embedded systems and medical vision lab and a tech nonprofit, bridging academic research with practical assistive and clinical prototypes. Known for combining embedded systems prototyping with state-of-the-art deep learning, he actively supervises students and leads funded projects to translate AI into surgical and diagnostic workflows.
9 years of coding experience
9 years of employment as a software developer
Doctor's Degree, Biomedical/Medical Engineering, Doctor's Degree, Biomedical/Medical Engineering at KIT Informatik
Biological and Medical Visualization, Biological and Medical Visualization at Bio+Med+Vis Spring School
Master’s Degree, Computer Vision and Artificial Intelligence, Master’s Degree, Computer Vision and Artificial Intelligence at Faculty of Electronic Engineering, Menoufia University
University College London
Arabic, English, German, French