Mohamed Saber Rais
Badji Mokhtar-Annaba University, Coburg University of Applied Sciences
Papers
2
Total Citations
17
H-Index
1
About
Dr. Mohamed Saber Rais is a leading researcher at the intersection of autonomous systems, human-robot interaction, and cognitive engineering. His work primarily focuses on developing intelligent decision-making frameworks for autonomous vehicles and understanding the psychological dynamics of human-robot collaboration. His most impactful contribution, "Decision making for autonomous vehicles in highway scenarios using Harmonic SK Deep SARSA" (2022, 16 citations), introduces a novel reinforcement learning algorithm that enhances real-time, safe navigation in complex traffic environments—a foundational step toward trustworthy autonomous driving. In parallel, his study "Effects of Cognitive Load Variation on Anthropomorphism During a Cooperative Human-Robot Pick-and-Place Task" (2024) explores how mental workload influences how humans perceive and interact with robots, offering critical insights for designing more intuitive and socially acceptable robotic assistants. Dr. Rais’s work bridges technical AI advances with human factors, ensuring that autonomous systems are not only efficient but also aligned with human cognitive and emotional needs. His research has significant implications for the future of smart mobility and collaborative robotics, positioning him as a rising voice in human-centered automation.
Research Focus
Key Achievements
Top Papers
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- 2