Ayman Wahba
Papers
1
Total Citations
8
H-Index
1
About
Ayman Wahba is a researcher whose work sits at the intersection of intelligent control systems and autonomous vehicle technology. His primary research focus involves developing advanced algorithms for vehicular automation, with a particular emphasis on auto-parking systems. Wahba’s most notable contribution is his pioneering work on a "swarm search-based fuzzy control system" for automatic parallel parking, introduced in his 2012 paper. This technique innovatively divides the parking process into two critical stages: first, generating an optimal path trajectory, and second, executing the maneuver. By leveraging swarm intelligence and fuzzy logic, his approach offers a more adaptive and efficient solution to a classic automotive challenge. While his citation count of 8 for this key paper reflects a specialized, early-stage contribution, the work is significant for laying foundational concepts in merging swarm algorithms with real-world vehicular control. Wahba’s research represents a meaningful step toward fully autonomous driving, demonstrating how bio-inspired computing can solve complex, low-speed navigation problems.
Research Focus
Key Achievements
Top Papers
- 1