Hajid Alsubaie
Papers
3
Total Citations
10
H-Index
2
About
Hajid Alsubaie is a rising researcher at the forefront of advanced control systems, with a focus on nano-mechanics and rehabilitation robotics. His work masterfully bridges theoretical control engineering with real-world applications, addressing critical challenges in precision and reliability. Alsubaie’s most impactful contribution is his 2023 study on fault-tolerant terminal sliding mode control, which integrates a disturbance observer to suppress vibrations in non-local strain gradient nano-beams—a pivotal advancement for stabilizing uncertain Euler–Bernoulli nano-beams. This work, garnering 5 citations, demonstrates his ability to solve complex partial differential equations derived from Hamilton’s principle. In rehabilitation robotics, Alsubaie pioneers data-driven approaches: his 2024 paper on Kriging-based Model Predictive Control (3 citations) tackles the fragility of traditional MPC by reducing reliance on exact system models. Complementing this, his 2023 model-free control scheme (2 citations) leverages deep neural networks and real-time observations to enhance the reliability of automated rehabilitation robots. By combining rigorous theoretical foundations with innovative machine learning techniques, Alsubaie is shaping a future where control systems are both robust and adaptive—critical for next-generation medical and nanoscale technologies.
Research Focus
Key Achievements
Top Papers
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