Abeer D. Algarni

Princess Nourah bint Abdulrahman University

Papers

Total Citations

124

H-Index

About

Abeer D. Algarni is a leading researcher in artificial intelligence and robotics, with a focus on human-robot interaction and intelligent control systems. Her most impactful work, "Deploying Machine Learning Techniques for Human Emotion Detection" (2022), has garnered 117 citations, establishing her as a key contributor to affective computing. In this study, she advanced emotion recognition by integrating both speech and visual modalities, enabling robots to interpret human facial expressions for applications in robotic vision and interactive communication. Algarni also addresses the challenges of nonlinear, multi-input multi-output (MIMO) systems in her 2024 paper, "Modeling and Control of a 3DOF Robot Manipulator Using Artificial Fuzzy-Immune FOPID Controller" (7 citations). Here, she developed a novel hybrid controller combining fuzzy logic, immune algorithms, and fractional-order PID to enhance manipulator precision and stability. Her work bridges machine learning and control theory, offering practical solutions for real-world robotics. Algarni’s contributions are vital for students and researchers exploring emotion-aware AI and robust robotic control, demonstrating how interdisciplinary approaches can solve complex engineering problems.