Razaz Waheeb Attar
Princess Nourah bint Abdulrahman University, University of Business and Technology
Papers
3
Total Citations
23
H-Index
2
About
Razaz Waheeb Attar is a rising researcher at the intersection of artificial intelligence, human–robot interaction (HRI), and industrial visual intelligence. His work centers on developing trustworthy, high-accuracy AI systems for real-world applications, from emotion recognition to autonomous safety. Attar’s most cited paper, “A Novel Emotion Recognition System for Human–Robot Interaction Using Deep Ensemble Classification” (2025, 16 citations), introduces a deep ensemble approach that significantly improves the classification of human emotions from digital inputs, with direct implications for adaptive robotics, mental health monitoring, and intelligent customer service. He further advances industrial AI with his work on “Optimized trustworthy visual intelligence model for industrial marble surface anomaly detection” (2025, 5 citations), where he addresses the critical need for reliable defect detection in manufacturing, ensuring product quality through robust, transparent models. Attar also explores adversarial security in autonomous driving, as seen in his study on LiDAR spoofing attacks (2025, 2 citations). His contributions are notable for bridging the gap between cutting-edge AI research and practical, safety-critical deployments, earning him early recognition as a promising voice in trustworthy AI and HRI.
Research Focus
Key Achievements
Top Papers
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