Biography
Prof. Dr. Mohamed El-Sayed is a distinguished researcher in machine learning and computer vision with over 15 years of experience. As Dean of the Faculty of Computers and AI at Cairo University, he leads initiatives to apply AI to real-world challenges in healthcare, agriculture, and urban planning. His work on precision agriculture and medical AI has been deployed across Egypt with measurable societal impact.
Research Projects
Explainable AI for Medical Diagnosis
ActiveCreating interpretable AI models for medical image analysis and diagnosis that can explain their decision-making process to healthcare professionals.
AI-Powered Agriculture
ActiveDeployed computer vision systems across 50+ Egyptian farms to monitor crop health and optimize irrigation, resulting in 30% yield improvement.
Traffic Optimization System
CompletedImplemented AI-powered traffic management system in Cairo that reduced congestion by 20% and improved air quality.
Selected Publications
Explainable AI for Medical Image Diagnosis in Resource-Constrained Settings
AI-Powered Precision Agriculture for Arid Climates
Deep Reinforcement Learning for Autonomous Systems in Urban Environments
Federated Learning for Privacy-Preserving Medical AI
Expertise
Education
PhD in Computer Science
University of Cambridge
2010
MSc in Machine Learning
ETH Zurich
2006
BSc in Computer Science
Cairo University
2004
Awards & Honors
- Egyptian State Award for Excellence in Engineering Sciences, 2023
- Best Application Paper Award, CVPR 2024
- Distinguished Faculty Award, Cairo University, 2021