Karri Chiranjeevi

Papers

Total Citations

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About

Karri Chiranjeevi is a researcher specializing in the intersection of cloud computing, robotics, and computer vision, with a particular focus on privacy-preserving technologies and secure face recognition systems. His work addresses one of the most pressing challenges in modern robotics: the computational limitations of on-board robotic systems and the security vulnerabilities introduced when offloading processing to cloud environments. Chiranjeevi's most significant contributions center on developing encryption-based frameworks that enable real-time face recognition in cloud robotics without compromising data privacy or security. His 2020 study on deep learning algorithms for secure robot face recognition laid the groundwork for subsequent comparative analyses, exploring how advanced neural network architectures can enhance human-machine interaction while maintaining robust data protection. His 2021 publications, each garnering 12 citations, extended this research by systematically evaluating privacy-preserving methodologies in cloud robotics contexts. With a total citation count approaching 35 across his most prominent works, Chiranjeevi has established a meaningful foothold in the emerging field of secure cloud robotics. His research is particularly relevant for students and practitioners working on autonomous systems, IoT security, and AI-driven human-robot interaction, offering practical frameworks that balance computational efficiency with data privacy imperatives.