Sarah Al–Shareeda

Sarah Al-Shareeda works on connected and autonomous vehicle systems, focusing on how vehicles communicate securely and efficiently with each other, the cloud, and 'digital twin' models (virtual replicas of physical networks used for testing and analysis). Her work combines security and privacy techniques (like authentication and pseudonymization) with AI methods for tasks such as traffic analysis, load forecasting, and vehicle tracking. This research is relevant to students interested in vehicular networks, cybersecurity, and applied machine learning for smart infrastructure.

Publication output has grown notably in recent years, rising from occasional papers earlier in the decade to a peak of 8 in 2025, indicating an increasing and active publication pace.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026