Sayantani Das

Papers

Total Citations

H-Index

About

Sayantani Das is a researcher focused on sustainable urban infrastructure and intelligent waste management systems. Her most-cited work, “A Smart Automated Garbage Management System to Replace Human Labour” (2022), addresses India’s critical challenge of managing approximately 0.1 million tons of daily municipal waste—comprising organic matter, plastics, metals, and more. Das proposes an IoT-enabled automated solution designed to reduce human exposure to hazardous waste while improving collection efficiency. With 6 citations, this paper has sparked interest in integrating sensor-based monitoring and automated segregation into municipal frameworks. Her research bridges environmental engineering and smart city technologies, offering practical pathways to replace manual scavenging with dignified, tech-driven alternatives. Das’s contributions are particularly notable for their potential to enhance public health and operational sustainability in rapidly urbanizing regions. Her work stands as a timely intervention at the intersection of automation, sanitation, and social equity, making her a promising voice in the global conversation on waste management innovation.