El‐Sayed M. El‐kenawy
Higher Institute of Engineering, Applied Science Private University
Papers
4
Total Citations
23
H-Index
3
About
El-Sayed M. El-kenawy is a leading researcher at the intersection of autonomous robotics, artificial intelligence, and human-robot interaction. His work focuses on developing intelligent systems that can navigate complex environments and respond to human emotional states. A cornerstone of his research is the application of reinforcement learning for route planning in autonomous mobile robots, particularly for time-critical applications such as delivering medical supplies in hospitals and emergency settings (2022, 11 citations). He has also pioneered the integration of facial emotion recognition into Ambient Assisted Living (AAL) technologies, enabling smart environments to adapt lighting and other cues to a user’s affective state for improved comfort and engagement (2025, 6 citations). Further contributions include metaheuristic optimization for safe path planning in cluttered environments (2022, 4 citations) and machine learning-based prediction of student attitudes toward robotics in STEM education (2024, 2 citations). Through this diverse body of work, El-kenawy demonstrates a sustained commitment to making robotics more responsive, adaptive, and human-centered.
Research Focus
Key Achievements
Top Papers
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