Azhana Ahmad
Papers
2
Total Citations
14
H-Index
2
About
Azhana Ahmad is a researcher specializing in autonomous systems, unmanned aerial vehicles (UAVs), and robotic task prioritization. Her work focuses on enhancing the real-time navigational capabilities of UAVs in dynamic indoor environments, a critical challenge for expanding industrial and research applications. Her most-cited paper, "A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles" (2018, 12 citations), evaluates the performance and autonomous maneuvering of UAVs within interactive indoor spaces, contributing foundational insights to local positioning techniques. Additionally, her study "Formulation of Mandatory Task Algorithm Using Task Prioritization Technique" (2018, 2 citations) introduces an algorithmic approach to assist robotic appliances in identifying and executing urgent tasks first, advancing automation in task management. While her citation counts reflect an emerging career, Ahmad’s contributions are notable for bridging theoretical algorithm design with practical autonomous navigation and task execution, offering valuable frameworks for future developments in robotics and UAV systems. Her research holds promise for applications in search-and-rescue, surveillance, and smart home automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2