Lakshmi Pavithran

Vellore Institute of Technology University

Papers

Total Citations

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About

Lakshmi Pavithran is a researcher at the forefront of intelligent manufacturing, specializing in the integration of machine learning with advanced welding processes. Her work focuses on developing data-driven models to optimize weld quality, predict defects, and enhance process automation. Her most-cited paper, "Intelligent welding by using machine learning techniques" (2021), has garnered 43 citations, establishing her as a key contributor to the emerging field of smart welding. This research demonstrates how algorithms can analyze real-time sensor data—such as temperature, voltage, and current—to dynamically adjust parameters, reducing human error and improving consistency in industrial applications. Pavithran’s contributions are particularly notable for bridging the gap between theoretical machine learning models and practical manufacturing challenges, offering scalable solutions for industries like automotive and aerospace. By combining expertise in materials science and computational methods, she has laid groundwork for autonomous welding systems that promise higher efficiency and lower costs. Her work continues to inspire engineers and researchers exploring the intersection of artificial intelligence and traditional fabrication techniques, marking her as a rising voice in Industry 4.0 innovation.