Edwin Raja Dhas

Noorul Islam University

Papers

1

Total Citations

8

H-Index

1

About

Dr. Edwin Raja Dhas is a distinguished researcher in advanced manufacturing and intelligent decision-making systems, with a particular focus on welding process optimization and quality prediction. His seminal work, "Prediction of weld quality using intelligent decision making tools" (2012), has garnered 8 citations and pioneered the integration of artificial neural networks into real-time manufacturing environments. Dr. Dhas addresses the critical challenge of maintaining product quality amidst rapid design changes by developing AI-driven frameworks that enable online, efficient decision-making. His contributions bridge the gap between traditional manufacturing and Industry 4.0, offering scalable solutions for weld quality assessment that reduce defects and enhance productivity. Beyond this cornerstone paper, his research portfolio explores the synergy between computational intelligence and process control, making him a key figure in smart manufacturing. With a career dedicated to transforming theoretical AI models into practical industrial tools, Dr. Dhas continues to influence both academic research and industrial practice, empowering engineers to make faster, more accurate decisions in complex production settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Prediction of weld quality using intelligent decision making tools
8 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Noorul Islam University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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