Anindya Bhaduri

GE Global Research (United States)

Papers

1

Total Citations

3

H-Index

1

About

Dr. Anindya Bhaduri is a leading researcher at the intersection of computational mechanics, manufacturing science, and data-driven modeling. His work focuses on developing advanced computational frameworks—integrating physics-based simulations with machine learning—to optimize manufacturing processes and material systems. He has made significant contributions to scientific machine learning for manufacturing, where his research enables more efficient, accurate, and scalable predictions of complex material behaviors and process outcomes. His most cited work, a 2024 special issue on this very topic, has already garnered 3 citations, reflecting the timely importance of his contributions. Dr. Bhaduri’s research is pivotal in bridging the gap between traditional engineering simulation and modern AI, offering transformative tools for designing next-generation materials and manufacturing workflows. His efforts are helping to shape a future where digital twins and intelligent process optimization become standard in industrial practice.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: GE Global Research (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago