Naglaa F. Soliman

Princess Nourah bint Abdulrahman University

Papers

Total Citations

141

H-Index

About

Naglaa F. Soliman is a leading researcher at the intersection of artificial intelligence, robotics, and human-computer interaction. Her work primarily focuses on three transformative areas: emotion recognition using machine learning, multi-robot task scheduling in cloud environments, and advanced control systems for robotic manipulators. Soliman’s most impactful contribution is her pioneering study on deploying machine learning techniques for human emotion detection, which has garnered 117 citations since 2022. This work explores how facial expressions and speech can be analyzed to enable applications in robotic vision and interactive communication, bridging the gap between human emotional states and machine understanding. She has also advanced cloud-based multi-robot coordination through her PMW algorithm for task scheduling, a critical innovation for autonomous systems managing complex, multi-task environments. Most recently, her development of an artificial fuzzy-immune FOPID controller for 3DOF robot manipulators addresses the challenge of controlling highly nonlinear, coupled systems, offering a robust solution for industrial and service robotics. With a growing citation record and a focus on practical, interdisciplinary challenges, Soliman’s research is shaping the future of intelligent, emotionally aware, and efficiently coordinated robotic systems.