Rashmi Rani Samantaray

Papers

Total Citations

H-Index

About

Rashmi Rani Samantaray is an emerging researcher in the fields of Internet of Things (IoT), embedded systems, and machine learning, with a focused interest in developing practical, low-cost solutions for healthcare and public safety. Her most cited work, "Teleconsultation and Human Parameter Monitoring system using Arduino UNO and NODE MCU" (2022, 7 citations), introduces the "Virtual Doctor" model—a system that remotely monitors vital parameters like heart rate, temperature, and SpO2, while integrating a UVC sterilization unit for enhanced safety. This contribution addresses critical gaps in remote healthcare delivery, particularly relevant in resource-constrained settings. Building on this foundation, Samantaray’s recent work, "Advanced IoT and Machine Learning Solutions for Railway Safety" (2024, 3 citations), proposes a railway track crack detection system using camera-based ML analysis, aiming to prevent accidents through continuous, automated monitoring. While her citation counts reflect a developing career, the practical, problem-driven nature of her research—spanning telemedicine and infrastructure safety—demonstrates a commitment to impactful, real-world applications. Samantaray’s work exemplifies how IoT and AI can be harnessed for accessible, life-saving technologies, positioning her as a promising voice in applied engineering research.