Hany El-Ghaish
Papers
1
Total Citations
2
H-Index
1
About
Hany El-Ghaish is a researcher advancing the intersection of intelligent control systems and sustainable automation, with a primary focus on robotics and adaptive control methodologies. His most-cited work, "An enhanced neuro-adaptive PID sliding mode control for robot manipulators: promoting sustainable automation" (2025), introduces a novel hybrid control framework that integrates neural network adaptation with PID sliding mode techniques. This contribution addresses critical challenges in robot manipulator precision and energy efficiency, offering a pathway toward more sustainable industrial automation. Though early in its citation trajectory, the paper has already garnered 2 citations, signaling growing interest in his approach to bridging classical control theory with modern AI-driven adaptation. El-Ghaish’s research is particularly notable for its emphasis on real-world applicability, targeting the reduction of energy consumption and computational overhead in robotic systems. His work holds promise for sectors ranging from manufacturing to assistive robotics, where robust, adaptive control is essential. As a researcher committed to promoting sustainability through technological innovation, El-Ghaish is establishing a foundation for future advancements in neuro-adaptive control systems that balance performance with environmental responsibility.
Research Focus
Key Achievements
Top Papers
- 1