Neeraj Gupta

Papers

Total Citations

H-Index

About

Neeraj Gupta’s research bridges computer vision and robotics, with a focus on solving real-world challenges in biometric security and healthcare automation. His most cited work, “Robust Face Recognition Under Partial Occlusion Based on Local Generic Features” (2021, 6 citations), addresses a critical limitation in facial recognition systems—handling occlusions caused by masks, glasses, or other obstructions. By leveraging local generic features, Gupta’s method enhances recognition accuracy in unconstrained environments, advancing applications in surveillance, biometric authentication, and robotics. Building on this expertise, Gupta extended his work to healthcare robotics with “Articulated Robot Arm for Garbage Disposal in Hospital Environment” (2023, 3 citations). This project demonstrates a robotic arm designed to segregate and dispose of medical waste, reducing human exposure to hazardous materials in hospital settings. While his citation counts reflect an early-career trajectory, the practical impact of his work is notable: his face recognition research addresses a pressing need in post-pandemic security systems, and his robotic arm contributes to infection control in hospitals. Gupta’s interdisciplinary approach—combining robust feature extraction with robotic manipulation—positions him as an emerging researcher with contributions that directly improve safety and efficiency in both digital and physical environments.