Amna Eleyan
Papers
1
Total Citations
4
H-Index
1
About
Amna Eleyan is a researcher whose work bridges the fields of manufacturing optimization and intelligent systems. Her key research areas include computer numerical control (CNC) systems, path planning algorithms, and process automation. She is best known for her contributions to improving the efficiency of PCB drilling machines through advanced route optimization. In her most cited work, "Computer Numerical Control-PCB Drilling Machine with Efficient Path Planning – Case Study 2" (2018, 4 citations), Eleyan addresses a critical bottleneck in PCB manufacturing: the suboptimal drilling paths that waste time and energy. By proposing a novel approach to coordinate sequencing, she demonstrates how intelligent path planning can significantly reduce machine travel distance and cycle time, offering practical improvements for industrial automation. Though her citation count is modest, her work speaks to a growing need for smarter, more efficient manufacturing processes—a field with substantial real-world impact. Eleyan’s research is particularly valuable for students and engineers interested in the intersection of robotics, control systems, and operational efficiency, highlighting how even incremental algorithmic improvements can yield tangible gains in production environments.
Research Focus
Key Achievements
Top Papers
- 1