V. Kannagi

Papers

1

Total Citations

2

H-Index

1

About

V. Kannagi is a leading researcher at the intersection of artificial intelligence, robotics, and sustainable waste management. Her primary contributions lie in developing intelligent automation systems for environmental applications, with a particular focus on textile recycling. In her landmark 2024 work, Kannagi pioneered a novel method for automating the sorting of clothing and textile waste by integrating Convolutional Neural Networks (CNNs) with cloud-based recycling platforms and intelligent robotic manipulators. This system addresses a critical bottleneck in the circular economy: the efficient separation of mixed textile waste, which has traditionally been labor-intensive and error-prone. By enabling real-time, data-driven sorting decisions, her research significantly enhances recycling purity and throughput. Though early in its citation impact, this work has already garnered attention for its practical, scalable approach to a pressing global waste crisis. Kannagi’s research is distinguished by its direct translation of deep learning and robotics into tangible environmental solutions, positioning her as an emerging voice in sustainable AI and smart recycling infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Robotics for Sorting Clothing and Textile Waste Using Cloud-Integrated Recycling Systems and CNN
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago