AiR-GUC
AI in Radiology – From Pixels to Decisions (joint teaching with GUC)
BMFTR-funded joint teaching seminar between the University of Bonn and the German University in Cairo (2025).
Abstract
This joint teaching activity was developed within a BMFTR-funded international program to strengthen academic exchange and capacity building in artificial intelligence for medical imaging. The course combines lectures, hands-on exercises, and project-based learning, enabling students to work on clinically motivated imaging problems using AI methods.
Perspective
The initiative contributes to sustainable academic exchange between Germany and Egypt and provides a basis for continued joint teaching activities, student exchange, and integration of research-led topics into international curricula.
Selected Interdisciplinary Research with Methodological AI Contributions
In addition to my core research in artificial intelligence for medical imaging and clinical applications, I have contributed to a small number of exploratory interdisciplinary projects in materials science and food science. These activities focused on transferring methodological expertise in data-driven modeling and machine learning to neighboring domains and align with the University of Bonn’s Transdisciplinary Research Areas Sustainable Futures, Modelling, and Life and Health. Together, they demonstrate the transferability of AI methodologies and my engagement in transdisciplinary research initiatives without detracting from my primary research focus.
