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Dr Symeon Papadopoulos received the Diploma degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH) in 2004. In 2006, he received the Professional Doctorate in Engineering (P.D.Eng.) from the Technical University of Eindhoven, the Netherlands. Since 2006, he has been working with CERTH as a Research Associate. In 2012, he defended his PhD dissertation on the topic of knowledge discovery from large-scale mining of social media content. His research interests include social network analysis, social media content mining and multimedia indexing and retrieval. He has participated in several EU-funded research projects (PATExpert, WeKnowIt, GLOCAL, SocialSensor) as technical leader.
S. Papadopoulos, Y. Kompatsiaris, A. Vakali, P. Spyridonos. “Community Detection in Social Media”. In Data Mining and Knowledge Discovery, Vol. 24, Issue 3, pp. 515-554, May 2012
L. Aiello, G. Petkos, C. Martin, D. Corney, S. Papadopoulos, R. Skraba, A. Goker, I. Kompatsiaris, A. Jaimes, "Sensing trending topics in Twitter", Transactions on Multimedia, online preprint, IEEE, 2013, doi:10.1109/TMM.2013.2265080
S. Papadopoulos, C. Sagonas, Y. Kompatsiaris, A. Vakali, “Semi-supervised concept detection by learning the structure of similarity graphs”, Advances in Multimedia Modeling, LNCS Volume 7732, pp 1-12, Huangshan, China, January 7-9, 2013 (Best Paper Honorable Mention), doi:10.1007/978-3-642-35725-1_1
S. Papadopoulos, Y. Kompatsiaris, A. Vakali. "A Graph-based Clustering Scheme for Identifying Related Tags in Folksonomies" In Proceedings of DaWaK, LNCS 6263, pp. 65-76, Springer, 2010 link
D. Tsatsou, P. C. Davis, J. Li, I. Kompatsiaris, S. Papadopoulos. "Ontology Construction". Publication number: US20130132442 (A1), USPTO. Publication date: 23/05/2013.