Nabihah Ahmad
Papers
1
Total Citations
3
H-Index
1
About
Nabihah Ahmad is a researcher focused on embedded systems, robotics, and FPGA-based implementations, with a particular interest in autonomous systems and their practical applications. Her most-cited work, "Autonomous Lawnmower using FPGA implementation" (2016), demonstrates her ability to bridge hardware design and real-world robotics by developing a self-operating lawnmower that leverages FPGA technology for efficient control and navigation. This project highlights her contribution to creating intelligent, low-cost autonomous solutions that can operate in environments unsuitable for humans, showcasing the potential of reconfigurable computing in everyday tasks. While her citation count is modest, her work represents a foundational step in applying FPGA-based logic to autonomous robotics, inspiring further research in embedded automation. Ahmad’s research underscores the importance of integrating hardware acceleration with robotic autonomy, offering a practical pathway for students and researchers interested in the intersection of digital design, control systems, and field robotics.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Lawnmower using FPGA implementation.3 citations · 2016