Nihar M. Ranjan

Papers

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About

Nihar M. Ranjan is a researcher whose work bridges artificial intelligence and practical, human-centered technology. His primary research areas include deep learning for natural language processing and intelligent systems for everyday life. Ranjan’s most influential contribution is his 2017 paper, "Document Classification using LSTM Neural Network," which has garnered 18 citations. This work addresses the critical challenge of automatically categorizing the rapidly growing volume of electronic documents, demonstrating how Long Short-Term Memory networks can effectively learn from labeled data to predict document categories—a foundational task in modern information retrieval and text mining. More recently, Ranjan has explored the intersection of robotics and pet care in his 2023 paper, "Robotic Day-Care for Pets using Sensors and Raspberry Pi." This project tackles the modern problem of pet care in busy households by designing a smart, sensor-driven gadget that facilitates human-robot interaction. By combining accessible hardware like the Raspberry Pi with practical software design, Ranjan’s work exemplifies how academic research can directly address real-world needs, making technology more responsive to daily life.