HossamEldin Elsayed

Arab Academy for Science, Technology, and Maritime Transport

Papers

Total Citations

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About

Dr. HossamEldin Elsayed is an emerging leader in the intersection of affective computing and autonomous robotics. His primary research focuses on enhancing **Human-Robot Interaction (HRI)** through advanced **Speech Emotion Recognition (SER)** and improving robotic navigation stability via kinematic modeling. His most impactful work, "Enhancing Human Emotion Classification in Human-Robot Interaction" (2024, 10 citations), tackles a critical gap in SER by proposing a novel acoustic feature set designed to better represent real-world, noisy environments—a significant step toward making robots more emotionally intuitive and responsive. This contribution is foundational for developing socially aware robots capable of understanding human affect. Concurrently, his work on the "Jupiter robot arm" (2025) addresses practical challenges in educational robotics by designing a kinematic model to ensure motion stability during autonomous navigation. Though early in his career, Dr. Elsayed’s research is already shaping how robots perceive human emotion and maintain physical stability, bridging the gap between cognitive and mechanical robotics. His work promises to make future robots not only smarter, but more empathetic and reliable partners in both educational and service settings.