Omar Alghushairy
Papers
2
Total Citations
16
H-Index
1
About
Omar Alghushairy is a researcher focused on optimizing network resource management and advancing robotic control systems. His work addresses critical challenges in digital infrastructure, particularly network congestion caused by the surge in global internet users—reaching 5.4 billion in 2022—and the strain from social media, automated programs, and peak-time television. His highly cited 2024 paper, "Optimizing the Over and Underutilization of Network Resources During Peak and Off-Peak Hours" (15 citations), proposes strategies to balance network loads, ensuring sensitive services operate efficiently during high-demand periods. This contribution is vital for improving internet reliability and user experience. In robotics, Alghushairy developed the QCASBC algorithm, detailed in "QCASBC: An algorithm for hardware-in-the-loop simulation of 3-link RRR robotic manipulator" (2024, 1 citation). This novel Nonlinear Quick Convergence Adaptive Sliding Backstepping Control enhances trajectory tracking in articulated robotic manipulators using hardware-in-the-loop simulation, demonstrating rapid convergence and robust performance. His work bridges theoretical control methods with practical robotic applications, offering solutions for precision automation. With a focus on real-world impact, Alghushairy’s research addresses pressing issues in network optimization and robotics, making him a promising contributor to these fields.
Research Focus
Key Achievements
Top Papers
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