Pooja Nagpal

Papers

Total Citations

H-Index

About

Pooja Nagpal’s research bridges biometric security and computational nutrition, with a focus on artificial intelligence and machine learning. Her early work, “Biometric Techniques and Facial Expression Recognition—A Review” (2012, 5 citations), provides a foundational overview of biometric authentication methods, emphasizing the growing demand for automated physical characteristic verification and the specific challenges of facial expression recognition. This review helped contextualize biometric systems for emerging applications. More recently, Nagpal has advanced into AI-driven health analytics, as seen in her 2023 paper “Artificial Intelligence and Machine Learning Approaches for Understanding Food and Nutrients” (3 citations), which explores how computational models can decode dietary patterns and nutrient interactions. This work signals her shift toward applying machine learning to personalized nutrition, a field with significant potential for public health impact. While her citation counts are modest, Nagpal’s trajectory from biometrics to AI in food science demonstrates interdisciplinary versatility, and her recent contributions align with growing interest in data-driven wellness. Her research offers a bridge between technical authentication systems and the emerging frontier of intelligent nutrition, making her a researcher to watch in the convergence of AI, health, and human-computer interaction.