Chandra Nath
Papers
1
Total Citations
6
H-Index
1
About
Chandra Nath is a leading voice in sustainable manufacturing, with a primary focus on remanufacturing and the application of machine learning to advance the circular economy. His most cited work, "Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey" (2024), has already garnered 6 citations, establishing a foundational framework for integrating AI into the remanufacturing process. Nath’s research demonstrates how data-driven models can optimize the return of end-of-use products to a 'like new' condition, significantly reducing resource consumption and energy waste. By bridging the gap between advanced computational techniques and traditional manufacturing, he is pioneering more affordable and environmentally sustainable alternatives to new product creation. His contributions are critical for industries seeking to minimize their carbon footprint while maintaining economic viability. As a researcher, Nath is not only advancing theoretical knowledge but also providing actionable pathways for a greener, more efficient industrial future, making his work essential reading for students and professionals in sustainable engineering and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1