K. Rameshkumar

Papers

Total Citations

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About

Dr. K. Rameshkumar is a researcher specializing in welding process monitoring and control, with a particular focus on Gas Metal Arc Welding (GMAW). His major contributions lie in developing intelligent systems for weld defect classification using non-invasive sensing techniques. In his highly cited 2018 work, he pioneered the use of decision tree algorithms to analyze current and voltage signatures from the welding arc, achieving accurate real-time detection of defects. This built upon his foundational 2017 study that established the critical correlation between electrical arc signatures and specific weld flaws, providing a framework for automated quality inspection. These two papers have garnered over 84 citations combined, reflecting their significant impact on advancing non-destructive evaluation in manufacturing. More recently, Dr. Rameshkumar has expanded into human-robot interaction, developing a gesture-controlled vehicle interface for military applications. His work bridges traditional manufacturing process monitoring with emerging fields in autonomous systems, demonstrating versatility in applying signal processing and machine learning techniques across domains. His research continues to influence both industrial welding quality control and human-machine interface design.