Subhi R. M. Zeebaree
Papers
2
Total Citations
48
H-Index
2
About
Subhi R. M. Zeebaree is a leading researcher at the forefront of intelligent control systems and distributed cloud computing. His work masterfully bridges the gap between advanced control theory and practical robotics, most notably through his highly influential 2022 paper on trajectory tracking for differential drive mobile robots. In this work, which has garnered 36 citations, he introduced a novel nonlinear neural network fractional-order PID controller, tuned by an enhanced fruit fly optimization algorithm, setting a new standard for precision in autonomous navigation. More recently, Zeebaree has turned his focus to the cutting-edge challenges of cloud architecture, proposing a groundbreaking hybrid transactional/analytical processing (HTAP) design for real-time point cloud data in autonomous driving—a paper already accumulating 12 citations since 2024. His contributions are characterized by a rare ability to synthesize complex optimization techniques with real-world application, making his research essential reading for engineers and computer scientists working on everything from mobile robotics to next-generation cloud infrastructure.
Research Focus
Key Achievements
Top Papers
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- 2