SuMi Ryu

Papers

Total Citations

H-Index

About

SuMi Ryu is a researcher focused on industrial automation and anomaly detection within the context of the Fourth Industrial Revolution. Her work centers on identifying irregular behaviors in automated systems, a critical challenge as industries increasingly integrate artificial intelligence, robotics, and the Internet of Things. Her most-cited paper, "A study on detection of anomaly behavior in automation industry" (2018), has garnered a combined 7 citations, reflecting its relevance to the ongoing transformation of manufacturing and industrial processes. By addressing the vulnerabilities and operational risks in smart factories, Ryu contributes to safer, more reliable automation systems. Her research bridges the gap between traditional industrial practices and emerging ICT convergence technologies, offering practical insights for engineers and system designers. While her citation count is modest, her work is foundational for those seeking to implement robust anomaly detection in real-world settings. Ryu’s studies serve as a stepping stone for further exploration into predictive maintenance and cybersecurity in automated environments, making her a valuable voice in the evolving landscape of Industry 4.0.