S Kabaleeswaran
Papers
1
Total Citations
2
H-Index
1
About
S Kabaleeswaran is a rising researcher at the forefront of intelligent automation and sustainable waste management, with a core focus on integrating robotics, cloud computing, and deep learning to solve pressing environmental challenges. His most cited work, "Intelligent Robotics for Sorting Clothing and Textile Waste Using Cloud-Integrated Recycling Systems and CNN," introduces a novel framework that combines Convolutional Neural Networks (CNNs) with cloud-integrated robotic systems to automate the sorting of textile and clothing waste—a critical step toward circular economy practices. This paper has already garnered 2 citations, signaling early impact in the field. Kabaleeswaran’s contributions lie in bridging artificial intelligence with practical, scalable recycling solutions, demonstrating how intelligent robotics can transform waste management from a labor-intensive process into an efficient, data-driven operation. His work not only advances the technical frontier of automated sorting but also addresses a major global environmental issue, making him a promising voice in sustainable engineering and applied robotics.
Research Focus
Key Achievements
Top Papers
- 1