Abdullah Baihan
Papers
1
Total Citations
8
H-Index
1
About
Abdullah Baihan is a rising researcher in the fields of control systems, meta-heuristic optimization, and micro-robotics. His most notable contribution is the development of a hybrid meta-heuristic algorithm that integrates the Arithmetic Optimization Algorithm (AOA) with Rat Swarm Optimization (RSO) for precise position control of micro-robotic systems using a PID controller. This innovative approach, detailed in his highly cited 2025 paper, has already garnered 8 citations, reflecting its immediate impact on the optimization and robotics communities. By combining two distinct swarm intelligence techniques, Baihan has demonstrated a novel method for enhancing the accuracy and efficiency of micro-robotic control, a critical challenge in precision engineering and biomedical applications. His work bridges the gap between theoretical optimization algorithms and practical robotic control, offering a robust solution for fine-tuning PID parameters. As an emerging scholar, Baihan’s research promises to influence future developments in autonomous systems and intelligent control, marking him as a promising contributor to the advancement of hybrid computational methods in engineering.
Research Focus
Key Achievements
Top Papers
- 1