Adrija Biswas

National Institute of Technology Durgapur

Papers

Total Citations

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About

Adrija Biswas is a leading researcher at the intersection of advanced manufacturing and artificial intelligence, with a primary focus on robotic wire arc additive manufacturing (WAAM). Her most-cited work, "Artificial neural Network-Based approaches for Bi-directional modelling of robotic wire arc additive manufacturing" (2022, 9 citations), introduces a novel framework that leverages artificial neural networks to model the complex, bidirectional relationships between process parameters and material deposition in WAAM. This contribution is pivotal for enabling real-time process optimization and defect prediction, addressing a critical bottleneck in large-scale metal 3D printing. By integrating machine learning with robotic fabrication, Biswas’s research enhances the precision, efficiency, and reliability of additive manufacturing systems. Her work has garnered attention for bridging the gap between data-driven modeling and practical industrial applications, earning her recognition as an emerging voice in smart manufacturing. With a growing citation impact, Biswas continues to push boundaries in adaptive control and digital twin development for robotic welding processes, making her research essential for engineers and scientists seeking to automate and optimize complex manufacturing workflows.