D. Roja Ramani

Papers

Total Citations

H-Index

About

D. Roja Ramani is an emerging researcher at the intersection of intelligent systems and human-centered computing, with key contributions in agricultural automation and affective computing. Her most cited work, "Agrobot: Agricultural Robot using IoT and Machine Learning (ML)" (2023, 4 citations), addresses critical challenges in modern agriculture by integrating IoT sensors and machine learning algorithms into a robotic platform designed to enhance crop production and textile manufacturing—a vital step toward sustainable, data-driven farming. Building on this foundation, her recent study "Deep Bidirectional LSTM for Emotion Detection through Mobile Sensor Analysis" (2025, 2 citations) explores the cutting-edge domain of emotion recognition, leveraging deep learning to interpret human affective states from mobile sensor data. This work reflects her growing interest in making machines more perceptive of human emotions, with potential applications in mental health, human-computer interaction, and personalized technology. Though early in her career, Roja Ramani’s research demonstrates a clear trajectory from practical agricultural solutions to sophisticated emotional AI, positioning her as a versatile contributor to both applied and theoretical advances in machine learning and IoT.