A.M. Ibrahim
Papers
1
Total Citations
2
H-Index
1
About
Dr. A.M. Ibrahim is a leading researcher in mobile robotics and computational intelligence, with a primary focus on developing advanced path-planning algorithms for autonomous navigation. Their most-cited work, "Optimizing Navigation in Mobile Robots: Modified Particle Swarm Optimization and Genetic Algorithms for Effective Path Planning" (2025, 2 citations), introduces a novel hybrid approach that combines modified particle swarm optimization with genetic algorithms to generate collision-free, time-efficient, and shortest-distance routes for mobile robots. This contribution addresses critical challenges in real-world robotic navigation, balancing computational efficiency with safety constraints. Dr. Ibrahim's research bridges the gap between theoretical optimization techniques and practical deployment, offering scalable solutions for dynamic environments. Though early in their citation trajectory, their work has already attracted attention from peers exploring swarm intelligence and evolutionary computation. By integrating multi-objective optimization into path planning, Dr. Ibrahim has laid a foundation for future advances in autonomous systems, including warehouse logistics and search-and-rescue operations. Their innovative methodology stands as a promising step toward more intelligent and adaptable mobile robots.
Research Focus
Key Achievements
Top Papers
- 1