Huda T Najem

About

Huda T. Najem is a leading researcher in intelligent control systems and robotics, with a primary focus on fuzzy logic control, optimization algorithms, and parallel robot dynamics. Her most cited work, "Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot" (2021, 63 citations), introduces a novel approach to trajectory tracking for 3-RRR planar parallel robots. By integrating an Interval Type-2 Fuzzy Logic Controller (IT2FLC) with a bio-inspired social spider optimization algorithm, she significantly enhances control precision and robustness compared to traditional Type-1 Fuzzy Logic Controllers. This work demonstrates her ability to bridge nature-inspired metaheuristics with advanced fuzzy systems, achieving superior performance in complex robotic applications. Najem’s contributions are pivotal for advancing adaptive control in nonlinear, uncertain environments, with direct implications for industrial automation and precision robotics. Her research has garnered substantial attention, reflecting its impact on both theoretical developments and practical implementations in intelligent control.

Research Focus

Key Achievements

Top Papers

1. 1
   Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot

   63 citations · 2021

Key Collaborators

Contact & Links