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Dr. Symeon Papadopoulos

Researcher B’

  • Dipl. Electric and Computer Engineering, Aristotle University of Thessaloniki - AUTh (2004)
  • Professional Doctorate in Engineering in Information & Communication Technologies, Technical University of Eindhoven - TU/e (2006)
  • Master’s in Business Administration, Blekinge Institute of Technology-BTH (2009)
  • PhD Degree in Computer Science, Aristotle University of Thessaloniki (2012)

Dr. Symeon Papadopoulos is a Principal Researcher with the Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece. He holds an electrical and computer engineering diploma from the Aristotle University of Thessaloniki, a Professional Doctorate in Engineering from the Technical University of Eindhoven, a Master’s in Business Administration from the Blekinge Institute of Technology and a PhD in Computer Science from the Aristotle University of Thessaloniki. His research interests lie at the intersection of multimedia understanding, social network analysis, information retrieval, big data management and artificial intelligence. Dr. Papadopoulos has co-authored more than 40 papers in refereed journals, 10 book chapters and 130 papers in international conferences, 3 patents, and has edited two books. He has participated in and coordinates a number of relevant EC FP7, H2020 and Horizon Europe projects in the areas of media convergence, social media and artificial intelligence. He is leading the Media Analysis, Verification and Retrieval Group (MeVer, https://mever.iti.gr), and is a co-founder of the Infalia Private Company, a spin-out of CERTH-ITI.

Recent Publications

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  • S. Fabbrizzi, X. Zhao, E. Krasanakis, S. Papadopoulos, E. Ntoutsi, "Studying bias in visual features through the lens of optimal transport.", Data Min Knowl Disc (2023). https://doi.org/10.1007/s10618-023-00972-2
  • D. Giomelakis, O. Papadopoulou, S. Papadopoulos, A. A. Veglis, "Verification of News Video Content: Findings from a Study of Journalism Students.", Journalism Practice, 17:5, 1068-1097. DOI: 10.1080/17512786.2021.1965905
  • I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "Towards Fair Face Verification: An In-depth Analysis of Demographic Biases.", BIAS 2023 ECML/PKDD Workshop. https://doi.org/10.48550/arXiv.2307.10011
  • E. Krasanakis, S. Papadopoulos, I. Kompatsiaris, "JGNN: Graph Neural Networks on native Java.", SoftwareX, Volume 23, 2023, 101459. https://doi.org/10.1016/j.softx.2023.101459
  • L. Cuccovillo, B. Ionescu, G. Kordopatis-Zilos, S. Papadopoulos, A. Popescu, "MAD ’23 Workshop: Multimedia AI against Disinformation.", In Proceedings of the 2023 ACM International Conference on Multimedia Retrieval (ICMR '23). Association for Computing Machinery, New York, NY, USA, 676–677. https://doi.org/10.1145/3591106.3592303
Contact
Dr. Symeon Papadopoulos
Building D (Balkan Center) - Office 0.08

Information Technologies Institute
Centre of Research & Technology - Hellas
9th km Thessaloniki - Thermi, 57001, Thessaloniki, Greece
Tel.: +30 2311 257772
Email: papadop@iti.gr

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