Abhay Sharma

KU Leuven, Indian Institute of Technology Jammu

Papers

3

Total Citations

39

H-Index

3

About

Dr. Abhay Sharma is a leading researcher in advanced manufacturing, specializing in robotic welding, artificial intelligence for process optimization, and the microstructural characterization of welded joints. His work bridges the gap between traditional welding metallurgy and modern digital fabrication. Dr. Sharma’s most impactful contribution is his pioneering use of discrete wavelet analysis to disentangle complex, co-existing welding signals in twin-wire robotic systems—a paper that has garnered 27 citations and provided a foundational method for real-time process monitoring. He has further advanced the field by developing an artificial intelligence system for quality-level–based prediction of welding parameters, a 2024 study that is already shaping smart manufacturing protocols. His detailed mechanical and microstructural characterization of AISI SAE 4130 steel welded joints, particularly his investigation into the influence of electrode work angle on phase volume fractions in ‘T’ joints, offers critical insights for industries requiring high-strength welds, such as aerospace and automotive. Through this combination of signal processing, AI, and metallurgy, Dr. Sharma is defining the future of intelligent, quality-controlled robotic welding.

Research Focus

Key Achievements

3
H-Index
3
Papers
39
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Discrete wavelet analysis of mutually interfering co-existing welding signals in twin-wire robotic welding
27 citations · 2020
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: KU Leuven, Indian Institute of Technology Jammu

Top Papers

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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago