Ashutosh Shrivastava

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Ashutosh Shrivastava is a researcher at the forefront of applying machine learning to advanced manufacturing, with a particular focus on intelligent welding systems. His work bridges the gap between traditional industrial processes and modern artificial intelligence, aiming to enhance precision, efficiency, and safety in welding operations. In his highly cited 2021 paper, "Intelligent welding by using machine learning techniques," Shrivastava systematically explores how algorithms can optimize weld quality, detect defects in real-time, and adapt to variable conditions—a contribution that has garnered 43 citations and growing recognition in the materials joining community. Beyond this, his research portfolio encompasses predictive modeling for process parameters and sensor-based monitoring, demonstrating a commitment to transforming manual, skill-dependent tasks into data-driven, automated solutions. Shrivastava’s impact is evident not only in citation counts but also in the practical relevance of his work for industries seeking to reduce waste and improve reliability. For students and researchers, his studies offer a clear roadmap for integrating AI into manufacturing, making him a notable voice in the evolving field of smart welding.