Suhad Qasim G. Haddad

University of Technology, University of Technology - Iraq

Papers

Total Citations

H-Index

About

Suhad Qasim G. Haddad is a researcher specializing in intelligent control systems, robotics, and optimization algorithms, with a particular focus on advancing the performance of robot manipulators through sophisticated control methodologies. Her work sits at the intersection of classical control theory and modern computational intelligence, demonstrating a consistent commitment to solving complex engineering challenges in robotic systems. Haddad's most notable contributions center on the application of sliding mode control (SMC) and Particle Swarm Optimization (PSO) to robotic systems, particularly the widely studied PUMA 560 robot manipulator. Her 2021 paper on intelligent swarm algorithms for optimizing nonlinear sliding mode controllers, which has garnered 14 citations, introduces a fast and accurate framework for tuning robust controllers capable of handling high-order nonlinear dynamic systems. Complementing this, her 2020 study on PID and sliding mode controller design using PSO algorithms, cited 10 times, addresses one of robotics' most persistent challenges — achieving stable, optimized control performance. Together, these works reflect Haddad's broader mission to bridge intelligent optimization techniques with practical robotic control, offering meaningful contributions to researchers and engineers working to improve automation reliability and precision.