M. Meganathan
Papers
1
Total Citations
2
H-Index
1
About
M. Meganathan is a researcher at the forefront of intelligent automation and sustainable engineering, specializing in the integration of robotics, deep learning, and cloud-based systems for environmental solutions. His most cited work, "Intelligent Robotics for Sorting Clothing and Textile Waste Using Cloud-Integrated Recycling Systems and CNN" (2024), tackles the pressing global challenge of textile waste management. In this study, Meganathan introduces a novel framework that combines Convolutional Neural Networks (CNNs) with cloud-integrated recycling systems and autonomous robots to automate the sorting of discarded clothing and textiles. This approach significantly enhances the accuracy and efficiency of waste segregation, reducing reliance on manual labor and improving recycling rates. With 2 citations in its first year, the paper has already attracted attention from researchers in sustainable manufacturing and robotics. Meganathan’s work stands out for its practical, interdisciplinary impact—bridging artificial intelligence, mechanical design, and circular economy principles. His contributions offer a scalable pathway toward smarter, greener industrial systems, making him a rising voice in the field of intelligent recycling and automation.
Research Focus
Key Achievements
Top Papers
- 1