Hesham J. Mohammed
Papers
1
Total Citations
3
H-Index
1
About
Dr. Hesham J. Mohammed is a researcher specializing in intelligent control systems, robotics, and computational intelligence. His work focuses on developing advanced hybrid control architectures that integrate fuzzy logic, neural networks, and Petri nets for autonomous navigation and trajectory tracking. In his most cited work, Mohammed designed a Fuzzy Neural Petri Net (FNPN) controller optimized by Particle Swarm Optimization (PSO) for the trajectory tracking control of wheeled mobile robots. This innovative approach addresses the path planning problem by employing two FNPN controllers to generate desired velocity commands, demonstrating a novel fusion of soft computing techniques for real-time robotic control. Although early in his citation impact, with this paper accruing 3 citations, the work represents a foundational contribution to intelligent mobile robotics. Mohammed’s research bridges theoretical advances in neuro-fuzzy systems with practical applications in autonomous vehicle control, positioning him as an emerging voice in the field of intelligent mechatronics and control engineering.
Research Focus
Key Achievements
Top Papers
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