Ibraheem Kasim Ibraheem
Papers
24
Total Citations
1,002
H-Index
11
About
Ibraheem Kasim Ibraheem is a distinguished researcher specializing in autonomous robotics, intelligent control systems, and swarm-based optimization algorithms. His work sits at the intersection of artificial intelligence and robotics engineering, with a particular focus on mobile robot navigation, path planning, and advanced control design. Ibraheem has made transformative contributions to the field of autonomous mobile robotics, most notably through his development of hybrid optimization frameworks. His 2020 paper on multi-objective path planning using a hybrid PSO-MFB algorithm has garnered 243 citations, while his aging-based Ant Colony Optimization approach for grid-based path planning has accumulated 194 citations — establishing him as a leading voice in intelligent navigation research. His innovative integration of fractional-order PID controllers with neural networks and swarm intelligence techniques, including fruit fly and particle swarm optimization, further demonstrates his ability to bridge theoretical control theory with practical robotic applications. Beyond mobile robotics, Ibraheem has contributed meaningfully to teleoperated systems, pneumatic muscle actuators, parallel robot trajectory control, and EMG-based human-machine interfaces. His 2019 work on Myo armband-driven robotic arms highlights his interest in human-centered robotics. With a body of work exceeding 900 cumulative citations, Ibraheem has established himself as a prolific and impactful figure shaping the future of intelligent autonomous systems.
Research Focus
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