Papers
4
Total Citations
67
H-Index
4
About
Gamil Ahmed is an emerging researcher specializing in intelligent control systems, optimization algorithms, and autonomous robotics — fields that sit at the intersection of artificial intelligence and modern engineering. His work has garnered significant attention, accumulating over 67 citations across his published research, reflecting the practical relevance and technical rigor of his contributions. Ahmed's most impactful work centers on advanced controller design for robotic manipulator systems. His studies introduce and benchmark fractional-order PID (FO-PID) controllers optimized through metaheuristic techniques, including Improved Particle Swarm Optimization (IPSO) and Genetic Algorithms (GA). His comparative analyses demonstrate that fractional-order approaches consistently outperform conventional PID controllers in nonlinear robotic systems, offering important guidance for control engineers. Beyond manipulator control, Ahmed has made meaningful contributions to autonomous mobile robot (AMR) navigation, authoring comprehensive review papers that systematically catalogue both classical and heuristic path planning techniques, as well as advanced metaheuristic and cognitive approaches. These reviews serve as valuable reference frameworks for researchers navigating this rapidly evolving field. With publications spanning 2024 to 2026 and a growing citation record, Gamil Ahmed represents a dynamic voice in robotics and intelligent systems research, whose work bridges theoretical innovation with real-world engineering applications.
Research Focus
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