Amal Bukhari

Papers

Total Citations

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About

Amal Bukhari is a rising researcher at the intersection of network optimization and advanced robotics control. Her work addresses two critical challenges in modern engineering: managing internet congestion and enhancing robotic precision. In her highly cited 2024 paper, "Optimizing the Over and Underutilization of Network Resources During Peak and Off-Peak Hours," Bukhari tackles the pressing issue of network congestion caused by the 5.4 billion digital population, social media, and robotic programs. This work, already garnering 15 citations, proposes strategies to balance resource allocation during peak and off-peak hours, ensuring sensitive services operate smoothly. Her second notable contribution, "QCASBC: An algorithm for hardware-in-the-loop simulation of 3-link RRR robotic manipulator," introduces a novel Nonlinear Quick Convergence Adaptive Sliding Backstepping Control algorithm. This innovative approach achieves rapid, stable trajectory tracking for articulated robotic arms using hardware-in-the-loop simulation, demonstrating her skill in bridging theoretical control theory with practical implementation. Though early in her career, Bukhari’s dual focus on network efficiency and robotic control—combined with her ability to produce impactful, application-driven research—marks her as a promising talent in engineering. Her work offers valuable insights for students and researchers interested in optimizing complex systems, from internet infrastructure to autonomous robotics.