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17 November 2021
Virtual Event - 10:00 AM -12:40 PM (GMT +4)

Manolis Koubarakis
Professor at National and Kapodistrian University of Athens


Professor and Director of Graduate Studies in the Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens. He leads the Artificial Intelligence team. He is also Associated Faculty at the Institute of the Management of Information Systems (IMIS) of the “Athena” Research and Innovation Center. 

He holds a Ph.D. in Computer Science, from the National Technical University of Athens, an M.Sc. in Computer Science, from the University of Toronto, and a diploma (B.Sc.) in Mathematics, from the University of Crete. He is a Fellow of EurAI (European Association for Artificial Intelligence) since 2015 and President of the Hellenic Association for Artificial Intelligence. He is a member of the Advisory Board that implements the Hellenic National Strategy for Artificial Intelligence. 

He has published more than 200 papers that have been widely cited (7099 citations and h-index 44 in Google Scholar) in the areas of Artificial Intelligence (especially Knowledge Representation), Databases, Semantic Web and Linked Geospatial Data (especially Earth observation data). 

His research has been financially supported with a total amount exceeding 8 million Euros by the European Commission, the Hellenic Foundation for Research and Innovation, the Greek General Secretariat for Research and Technology, the European Space Agency and industry. Manolis is currently the coordinator of project ExtremeEarth (2019-2021) which develops deep learning and big data techniques for satellite data from the Copernicus program. He also participates in the projects AI4EU (2019-2021, the largest H2020 European project in the area of Artificial Intelligence), AI4Copernicus (2021-2023, as Technical Manager of this project which brings Copernicus data the the AI4EU platform) and DeepCube (2021-2023, where he leads the work on Semantic Data Cubes).

Agenda Sessions

  • ExtremeEarth Case Study: The Execution of a Large-Scale AI Project at for Earth Observation Data