M. Khak Jameii
Papers
1
Total Citations
5
H-Index
1
About
M. Khak Jameii’s research focuses on the intersection of control systems, neural networks, and signal processing, with a particular emphasis on enhancing the performance of pulse induction (PI) systems. In their most-cited work, “Improving the Performance of the PI Systems through the Use of Neural Network” (2010, 5 citations), Jameii addresses a critical limitation in low-cost PI metal detectors—their inability to distinguish between different metal types. By integrating neural network techniques, Jameii’s method enables these systems to classify metals, a breakthrough with direct applications in geology, mine-detecting robotics, and security. This contribution not only improves the functionality of widely used, affordable detectors but also opens new avenues for intelligent sensing in resource-constrained environments. While Jameii’s citation count reflects a niche but impactful area, the work stands out for its practical innovation, bridging classical sensor design with modern machine learning. Their research demonstrates a commitment to solving real-world problems through efficient, accessible technology, making it a valuable reference for engineers and researchers working on embedded systems, pattern recognition, and low-cost automation.
Research Focus
Key Achievements
Top Papers
- 1