Ehab Ghith
Papers
5
Total Citations
62
H-Index
4
About
Ehab Ghith is a control systems and robotics researcher whose work sits at the intersection of intelligent optimization and precision micro-robotics. His research focuses primarily on the application of meta-heuristic and hybrid optimization algorithms to fine-tune PID controllers for micro-robotic systems — technology with profound implications for minimally invasive medical applications such as targeted drug delivery within the human body. Ghith's most impactful contribution, "Tuning PID Controllers Based on Hybrid Arithmetic Optimization Algorithm and Artificial Gorilla Troop Optimization for Micro-Robotics Systems" (2023), has garnered 40 citations, establishing him as a notable voice in intelligent controller design. His body of work systematically benchmarks and advances optimization strategies — including the Sparrow Search Algorithm, Ant Lion Optimizer, and Rat Swarm Optimization — demonstrating consistent improvement over conventional tuning methods like Ziegler-Nichols. Particularly distinctive is his emphasis on real-time implementation, bridging theoretical optimization with practical engineering deployment. With publications spanning from 2021 to 2025 and a growing citation record totaling over 60 citations, Ghith's research trajectory reflects a disciplined and progressive effort to make micro-robotic systems more precise, reliable, and clinically viable — making his work essential reading for engineers and biomedical researchers alike.
Research Focus
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Top Papers
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