معرفی
Andreas Ekelhart is affiliated with the Faculty of Computer Science and the Research Group Security and Privacy. His work focuses on cybersecurity, log analysis, machine learning applications in security, and privacy-preserving technologies. He contributes to the UN Sustainable Development Goals related to infrastructure and innovation.
He is actively involved in research projects such as Adapting Cyber Situational Awareness for Evolving Computing Environments (2023–2026) and the Christian Doppler Labor für Verbesserung der Sicherheit von Informations-prozessen in Produktionssystemen (2020–2024), collaborating with institutions across multiple countries.
His recent publications address cybersecurity challenges in industrial control systems, code obfuscation detection using machine learning, and knowledge graph integration for cybersecurity tasks. He emphasizes interdisciplinary approaches combining AI, data analysis, and cybersecurity.
No scientific awards or grants are explicitly listed in the provided text, but his sustained research output demonstrates active engagement in the field. He is part of collaborative networks focusing on cybersecurity solutions for evolving computing environments.
