{"id":9,"date":"2022-10-08T06:08:08","date_gmt":"2022-10-08T06:08:08","guid":{"rendered":"http:\/\/gec25.unipi.gr\/?page_id=9"},"modified":"2025-05-27T07:29:09","modified_gmt":"2025-05-27T07:29:09","slug":"speakers","status":"publish","type":"page","link":"http:\/\/gec25.unipi.gr\/?page_id=9","title":{"rendered":"Keynote Speakers"},"content":{"rendered":"\n

Keynote Speakers<\/h2>\n\n\n\n
\n
\n
\"\"
Prof. Eirini Ntoutsi
Full Professor and Chair of Open Source Intelligence at the University of the Bundeswehr Munich (UniBwM), Germany<\/figcaption><\/figure><\/div>\n\n\n\n

Short Bio:<\/strong><\/p>\n\n\n\n

Click Here<\/span><\/span><\/a><\/div>
\n

Bio<\/h2>\n\n\n\n

Prof. Eirini Ntoutsi is Full Professor and Chair of Open Source Intelligence at the University of the Bundeswehr Munich (UniBwM), Germany. Prior to this, she served as Full Professor and Chair of Artificial Intelligence at the Free University of Berlin and as Associate Professor of Intelligent Systems at Leibniz University Hannover. She conducted her postdoctoral research at LMU Munich, initially joining as an Alexander von Humboldt Fellow, and earned her Ph.D. (2008) in Computer Science from the University of Piraeus, Greece. She holds both a Diploma (2001) and a Master\u2019s degree (2003) in Computer Engineering and Informatics from the University of Patras (CEID), Greece. Her research focuses on Artificial Intelligence and Machine Learning, with an emphasis on responsible AI\u2014particularly fairness, explainability, and robustness to real-world challenges such as data imbalances and non-stationarity. She is an active member of the research community, regularly contributing to the organization of scientific events; a recent highlight is her role research track co-chair for ECML PKDD 2025. Her work is supported by national (DFG, Volkswagen Foundation, BMWi, BMBF) and European (ITN, H2020) funding programs.<\/p>\n<\/div>