Ibrahim Zeidan
Papers
1
Total Citations
2
H-Index
1
About
Ibrahim Zeidan is a researcher specializing in multi-robot systems, task scheduling, and optimization algorithms. His work addresses critical challenges in coordinating autonomous robots, particularly the task allocation problem where multiple robots must efficiently assign and execute simultaneous requests. Zeidan’s most notable contribution is the application of Water Wave Optimization—a nature-inspired metaheuristic—to task scheduling in multi-robot environments, introduced in his 2021 paper. This approach improves performance parameters like execution time and resource utilization, offering a novel solution to scheduling bottlenecks. While his citation count is currently modest, his research lays important groundwork for scalable, real-time coordination in robotics. Zeidan’s work is particularly relevant for students and researchers exploring swarm robotics, distributed systems, or optimization techniques, as it bridges theoretical algorithms with practical multi-agent challenges. His focus on adaptive scheduling methods holds promise for advancing autonomous systems in manufacturing, logistics, and disaster response.
Research Focus
Key Achievements
Top Papers
- 1