Raghi K R | Deep Learning | Research Excellence Award

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Ms. Raghi K R | Deep Learning | Research Excellence Award

Sathyabama University | India

Ms. Raghi K R is a distinguished researcher in the field of Computer Science and Engineering, with expertise spanning Artificial Intelligence, Deep Learning, Machine Learning, Cloud Security, and Web Mining. Her research primarily focuses on developing privacy-preserving and secure computing frameworks, innovative AI and IoT-based solutions for healthcare, smart surveillance, and environmental monitoring, and advancing cloud-based neural network applications. She has made significant contributions to privacy-preserving deep neural network classification over signature cryptosystems in cloud environments and has been recognized for her innovative work in smart healthcare systems, anomaly detection in CCTV surveillance, and real-time data analysis. With 29 citations, an h-index of 4, and an i10-index of 0 (Google Scholar), her research impact is further reflected in her scholarly publications and patents, encompassing AI-driven predictive modeling, blockchain-based data security, and deep learning applications in medical and industrial domains. Dr. Raghi has published extensively in IEEE and other international conferences, including landmark works on Huntington’s disease prediction, touch-free smart home systems, proactive detection of cybersecurity threats, and driver distraction detection. Her research is characterized by integrating theoretical rigor with practical applications, often combining AI, IoT, and cloud computing to solve complex real-world problems. She actively mentors student projects and has guided multiple innovative projects recognized by professional societies. Her work has been cited across numerous documents, demonstrating both the quality and relevance of her contributions in AI, cybersecurity, and cloud computing research. Dr. Raghi K.R has been honored with the Research Excellence Award for her outstanding contributions to advanced computing and AI applications.

Publication Profile

Orcid | Google Scholar

Featured Publications

  • Raghi, K.R., & Sudha, K. (2024). Software development automation using generative AI. International Conference on Emerging Research in Computational Science.

  • Thomas, R.K., Lemuel, C.P., Sanjay, G., Pandeeswaran, C., & Raghi, K.R. (2024). Advanced CCTV surveillance anomaly detection, alert generation and crowd management using deep learning algorithm. 3rd International Conference on Artificial Intelligence for Internet of Things.

  • Devi, S.R., Priya, S.G., Sathi, G., Kumar, S.N., & Raghi, K.R. (2024). Design and development of a touch free smart home controlling system based on virtual reality (VR) technology. International Conference on Intelligent Systems for Cybersecurity (ISCS 2024).

  • Vethavikashini, A.M., Jamal, S.M., & Raghi, K.R. (2024). Huntington’s disease prediction using Xception CNN. 2nd International Conference on Disruptive Technologies (ICDT 2024), 201-208.

  • Raghi, K.R., & Paramarthalingam, A. (2024). Proactive detection of Mirai botnet threats: Leveraging XGBoost for enhanced cybersecurity. IET Conference Proceedings CP900, 34-39.