Vittaldas V. Prabhu

Pennsylvania State University, Marcus (United States)

Papers

8

Total Citations

110

H-Index

7

About

Vittaldas V. Prabhu is a leading researcher at the intersection of smart manufacturing, automation, and service systems engineering. His work focuses on creating resilient, data-driven manufacturing ecosystems through digital twins, Bayesian networks, and robotic automation. Prabhu’s most cited paper (45 citations) pioneers a co-simulation approach for engineering digital twins that train Bayesian networks for fault diagnostics in manufacturing systems, enabling rapid diagnosis and performance assurance. He has also made significant contributions to logistics automation, designing analytical models for AGV-based cross-docking operations (11 citations) that reduce inventory and lead-times. In additive manufacturing, his evaluation of robotic fused filament fabrication systems (21 citations) and personalized robot fabrication (7 citations) demonstrates practical pathways for customer-driven production. Prabhu’s research extends to high-performance robotics, including a linear induction motor-based tool-delivery system (8 citations), and computational modeling for advanced manufacturing processes like EB-PVD (9 citations). His forward-looking work on AI/ML, robotics, and automation in the 21st-century service economy underscores his commitment to transforming service systems. With over 100 citations across his portfolio, Prabhu’s contributions are shaping the future of resilient, intelligent manufacturing and automated logistics.

Research Focus

Key Achievements

7
H-Index
8
Papers
110
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems
45 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Pennsylvania State University, Marcus (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago