Imil Hamda Imran
Papers
4
Total Citations
51
H-Index
2
About
Imil Hamda Imran is a control systems engineer and researcher whose work spans robotics, optimization, and adaptive control. With a career rooted in the design and implementation of intelligent control systems, Imran has made significant contributions to the fields of robotic manipulator control and mobile robotics. His recent research has focused on advancing fractional-order PID (FO-PID) controllers optimized through metaheuristic techniques, most notably his development of an Improved Particle Swarm Optimization (IPSO) algorithm for robotic manipulator systems, which has garnered 24 citations, and a comparative study of FO-PID versus standard PID controllers using Genetic Algorithm optimization, earning 23 citations — both published in 2024. These works reflect his commitment to pushing the boundaries of classical control theory through computational intelligence. Earlier in his career, Imran explored adaptive control strategies for nonholonomic mobile robots using Immersion and Invariance frameworks, and pioneered PID-based speed control implementations across varied terrain conditions. His body of work demonstrates a consistent trajectory from foundational control engineering toward sophisticated, optimization-driven solutions for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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