Dina Saadi Muneam

Papers

Total Citations

H-Index

About

Dina Saadi Muneam is a researcher whose work lies at the intersection of advanced control theory and intelligent robotic systems. Her primary research focuses on developing robust, adaptive control strategies for nonlinear robotic manipulators, particularly through the integration of Sliding Mode Control (SMC) and fuzzy logic. Her most cited paper, "Adaptive Robust Tracking Control of Robotic Manipulator based on SMC and Fuzzy Control Strategy" (2024), introduces a model-free, intelligent control method that enhances the precision and stability of robotic systems in complex, real-world applications. This work has already garnered 5 citations, reflecting its immediate relevance to the control engineering community. Muneam’s contributions are significant for their practical approach to overcoming the challenges of nonlinear dynamics and system uncertainties, offering a pathway to more reliable and autonomous robotic operations. Her research not only advances theoretical frameworks but also provides tangible solutions for industries relying on robotic automation. As a rising voice in her field, Dina Saadi Muneam continues to shape the future of intelligent control systems, making her work essential reading for students and researchers interested in robotics, automation, and adaptive control.