S R Alah Karam
Papers
3
Total Citations
81
H-Index
3
About
S. R. Alah Karam is a researcher specializing in intelligent manufacturing, sensor-based process monitoring, and automated surface finishing technologies. Their work sits at the intersection of robotics, signal processing, and quality control, with a particular focus on advancing robot-assisted polishing from labor-intensive manual operations toward reliable, automated systems. Alah Karam's most significant contributions lie in developing sophisticated sensor monitoring frameworks for polishing processes. Their 2016 study on signal processing and pattern recognition for surface roughness assessment — the most cited work with 38 citations — demonstrated how multiple sensor data streams could be effectively analyzed to evaluate product quality in real time. Complementing this, their 2015 research on acoustic emission monitoring introduced feature extraction techniques that capture subtle process signatures, earning 28 citations and establishing a foundation for non-invasive quality assessment. A third notable contribution explored cognitive decision-making strategies within multi-sensor environments, reflecting an interest in bringing higher-level intelligence to automated manufacturing workflows. Collectively, Alah Karam's research has garnered over 80 citations, underscoring meaningful influence within the precision manufacturing and industrial automation communities. Their body of work offers valuable insights for researchers and engineers seeking to bridge the gap between manual craftsmanship and dependable robotic finishing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3