Scholar
Eirini Ntoutsi
Google Scholar ID: RdA9uxYAAAAJ
Professor of Open Source Intelligence at the Bundeswehr University Munich, RI CODE, L3S
Citations & Impact
Citations
3,711
H-index
22
i10-index
47
Publications
20
Co-authors
75
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Paper 'A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective' accepted at IEEE Big Data 2025; attending the kick-off meeting of the new project DzDa (Deutsches Zentrum für digitale Aufgaben in der Hochschullehre); gave a talk on The Multifaceted Nature of Bias in AI - Implications for Generalization, Fairness, and Robustness at the AI Fairness Cluster meeting in Brussels.
Research Experience
- Leading the Artificial Intelligence & Machine Learning (AIML) group; previously worked at Freie Universität Berlin and Leibniz Universität Hannover / L3S Research Center; currently part of the Department of Computer Science and Research Institute CODE for cybersecurity and smart data at Bundeswehr University Munich (UniBwM).
Background
- Research interests include AI systems that are technically robust, resilient to biases, data imbalances, distribution shifts, adversarial attacks, and other real-world challenges; socially responsible AI with a focus on fairness, explainability, and accountability.
