Somesubhra Panda
Papers
1
Total Citations
3
H-Index
1
About
Dr. Somesubhra Panda is a forward-thinking researcher at the intersection of advanced manufacturing and artificial intelligence, with a primary focus on welding process optimization and occupational health monitoring. His most cited work, "Machine Learning Algorithms to Visualize the Weld Quality and Evaluation of Health Issues during the Welding" (2023), pioneers the application of machine learning to address dual challenges in the welding sector: enhancing weld quality assessment while simultaneously evaluating the health risks faced by welders. By demonstrating how machine learning algorithms can visualize and predict weld integrity, Dr. Panda has opened new pathways for real-time quality control and safer working environments. His research bridges the gap between computational modeling and industrial practice, offering practical solutions that reduce defects and mitigate exposure to hazardous fumes. With growing recognition in the field, Dr. Panda’s contributions are shaping the future of smart manufacturing, where data-driven insights improve both product reliability and worker well-being. His work stands as a vital resource for students and researchers exploring the convergence of AI, materials science, and industrial safety.
Research Focus
Key Achievements
Top Papers
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