Zeeshan Shafi Khan
Papers
1
Total Citations
4
H-Index
1
About
Dr. Zeeshan Shafi Khan is a rising researcher in autonomous robotics and computational intelligence, whose work focuses on solving critical challenges in mobile robot navigation. His primary research areas include metaheuristic optimization algorithms, path planning in cluttered environments, and autonomous navigation systems. Dr. Khan’s most cited paper, “Metaheuristic Optimization for Mobile Robot Navigation Based on Path Planning” (2022), addresses the fundamental problem of finding safe, efficient routes for robots operating in complex, obstacle-filled spaces. This work introduces novel optimization techniques that significantly reduce computational time while ensuring collision-free trajectories—a vital contribution for real-time robotic applications. Though early in his career, with 4 citations on this flagship paper, his research demonstrates clear practical relevance for industries ranging from warehouse automation to search-and-rescue robotics. Dr. Khan’s approach uniquely combines swarm intelligence principles with classical path planning, offering a promising bridge between theoretical optimization and deployable robotic systems. As autonomous navigation continues to evolve, his contributions are poised to influence both academic research and real-world robotic implementations.
Research Focus
Key Achievements
Top Papers
- 1