Cinu C. Kiliroor

Vellore Institute of Technology University

Papers

1

Total Citations

96

H-Index

1

About

Cinu C. Kiliroor is a leading researcher at the intersection of artificial intelligence and sustainable waste management, with a primary focus on tackling the pressing challenge of electronic waste (e-waste) in developing nations. Her most impactful work, the 2021 paper "Application of artificial intelligence to enhance collection of E-waste," has garnered 96 citations and proposes a groundbreaking AI-driven solution for household WEEE collection and segregation in India. This research directly addresses the critical gap between the rapid proliferation of electronic devices and the lack of efficient recycling infrastructure, offering a scalable, technology-based approach to improve recovery rates and reduce environmental harm. Beyond this seminal study, Kiliroor’s broader contributions explore how machine learning and data analytics can optimize reverse logistics, automate sorting processes, and incentivize public participation in recycling programs. Her work is particularly notable for its practical, policy-oriented insights, bridging the gap between academic innovation and real-world implementation in resource-constrained settings. By demonstrating how artificial intelligence can transform a traditionally manual and fragmented sector, Cinu C. Kiliroor has established herself as a pivotal voice in the global movement toward a circular economy, inspiring both researchers and practitioners to rethink waste as a valuable resource.

Research Focus

Key Achievements

1
H-Index
1
Papers
96
Total Citations
96
Avg Citations/Paper
🏆 Most Cited Paper
Application of artificial intelligence to enhance collection of E-waste: A potential solution for household WEEE collection and segregation in India
96 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Vellore Institute of Technology University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago