Quazi Ashikur Rahman
Papers
1
Total Citations
7
H-Index
1
About
Quazi Ashikur Rahman is a researcher whose work lies at the intersection of intelligent systems and practical automation, with a particular focus on smart infrastructure and robotics. His most-cited paper, "Smart Car Parking with the assistance of Line Following Robot" (2019, 7 citations), introduces an innovative approach to urban parking challenges by employing line-following robots to autonomously transport vehicles from entry points to designated parking spots. This system aims to enhance time and cost efficiency in indoor parking facilities, demonstrating Rahman’s commitment to solving real-world problems through accessible robotic solutions. His contributions reflect a broader interest in developing automated systems that improve everyday convenience and resource management. While his citation count is modest, the practical relevance of his work—addressing congestion and space optimization in urban environments—highlights his potential for impactful, application-driven research. Rahman’s focus on integrating robotics with smart city concepts positions him as an emerging voice in the field, with future work likely to expand on automation and human-assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1Smart Car Parking with the assistance of Line Following Robot7 citations · 2019