Georgia Sakellari

Papers

Total Citations

301

H-Index

About

Georgia Sakellari is a leading researcher at the intersection of cybersecurity, cyber-physical systems, and cloud computing, with a particular focus on intelligent transportation. Her pioneering work addresses the critical challenge of securing modern vehicles against sophisticated cyber attacks. In her landmark 2017 paper, "Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning," which has garnered over 270 citations, Sakellari revolutionized the field by demonstrating that the inherent processing limitations of vehicles can be overcome through computational offloading to the cloud. This approach enables the deployment of resource-intensive deep learning models for real-time intrusion detection, a significant leap from the traditional rule-based or lightweight machine learning methods. Her earlier foundational work in 2016 further explored the energy efficiency and performance benefits of this offloading strategy for continuous vehicle monitoring. By effectively merging cloud elasticity with vehicular security, Sakellari has laid the groundwork for safer, smarter autonomous systems, making her a pivotal figure in advancing the resilience of next-generation transportation networks.