Papers

1

Total Citations

218

H-Index

1

About

Dr. Durga Prasad Penumuru is a leading researcher at the intersection of machine learning, computer vision, and advanced manufacturing, with a particular focus on enabling Industry 4.0 through intelligent automation. His most impactful contribution is the development of a machine vision and machine learning framework for the identification and classification of materials, a seminal work published in 2019 that has garnered over 218 citations. This research directly addresses a critical bottleneck in smart factories: the need for rapid, accurate, and non-destructive material sorting and quality control. By integrating convolutional neural networks with industrial imaging systems, Dr. Penumuru’s work provides a scalable, real-time solution that bridges the gap between raw sensor data and actionable manufacturing decisions. His contributions are foundational for autonomous material handling, waste reduction, and adaptive production lines. Beyond this flagship study, his broader research portfolio explores the synergy between deep learning and industrial robotics, consistently pushing the boundaries of how machines perceive and interact with their physical environment. For students and researchers, Dr. Penumuru’s work offers a clear, impactful blueprint for applying AI to solve tangible, high-stakes problems in modern industry.

Research Focus

Key Achievements

1
H-Index
1
Papers
218
Total Citations
218
Avg Citations/Paper
🏆 Most Cited Paper
Identification and classification of materials using machine vision and machine learning in the context of industry 4.0
218 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago