Ayman El‐Baz

Papers

Total Citations

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About

Ayman El‐Baz is a leading researcher at the intersection of artificial intelligence, cloud computing, and autonomous service robotics, with a focus on creating intelligent systems that enhance safety, accessibility, and education. His major contributions include pioneering cloud-based frameworks for industrial monitoring, where he integrates edge, fog, and cloud architectures with AI to detect thermal anomalies in harsh environments—a critical advancement for predictive maintenance and worker safety. This work, cited 32 times, demonstrates his impact on practical, real-time anomaly detection. El‐Baz also addresses societal challenges through robotics: his highly cited 2021 paper (18 citations) develops AI-powered service robots to assist elderly and disabled individuals with independent shopping, promoting inclusivity. Further, his research on contactless learning activities during pandemics (5 citations) proposes autonomous robots to maintain educational continuity, highlighting his responsiveness to global crises. Notably, El‐Baz’s work is distinguished by its human-centered design, bridging cutting-edge technology with tangible social benefits. His contributions are essential reading for students and researchers interested in applied AI, IoT, and robotics for industrial and assistive applications, showcasing how intelligent systems can transform both workplaces and daily life.