Mohd Mahmeen
Papers
1
Total Citations
9
H-Index
1
About
Mohd Mahmeen is a researcher at the forefront of intelligent medical imaging and autonomous healthcare systems. His work centers on developing collision avoidance and route planning algorithms for autonomous medical devices, particularly in radiography environments. His most-cited paper, "Collision Avoidance Route Planning for Autonomous Medical Devices Using Multiple Depth Cameras" (2022, 9 citations), addresses a critical challenge in modern radiography: enabling intelligent systems to perceive their surroundings and navigate safely without human intervention. By integrating multiple depth cameras, Mahmeen’s approach enhances the autonomy and safety of medical devices, reducing the risk of collisions during patient imaging procedures. This contribution is pivotal as radiography evolves from a static imaging technique into a dynamic, automated process. Mahmeen’s research bridges robotics, computer vision, and healthcare, offering practical solutions for next-generation medical environments. His work not only advances the field of autonomous systems but also underscores the potential for AI-driven devices to improve clinical workflows and patient safety. As medical imaging continues to embrace automation, Mahmeen’s innovations stand as a foundational step toward fully intelligent radiography systems.
Research Focus
Key Achievements
Top Papers
- 1