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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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  • C. Koutlis, S. Papadopoulos, "AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization.", in Proceedings of the 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, March 2026.
  • S. Papadopoulos, E. Patsiouras, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, I. Patras, "Unsupervised Object Localization driven by self-supervised foundation models: A comprehensive review.", Image and Vision Computing, 2025, (accepted for publication).
  • E. M. Moussa, I. Sarridis, E. Krasanakis, N. Ramoly, S. Papadopoulos, A. M. Awal, L. Younes, "Face-swapping Based Data Augmentation for ID Document and Selfie Face Verification.", in Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Tucson, AZ, USA, February 28, 2025, pp. 1331–1338, doi: 10.1109/WACVW65960.2025.00156
  • O. Papadopoulou, M. Schinas, R. Corvi, D. Karageorgiou, C. Koutlis, F. Guillaro, E. Gavves, H. Mareen, L. Verdoliva, S. Papadopoulos, "Synthetic Images at MediaEval 2025: Advancing Detection of Generative AI in Real-world Online Images.", in Proceedings of the MediaEval 2025 Workshop, Dublin, Ireland, October 2025, pp. 25–26.
  • I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "MAVias: Mitigate any Visual Bias.", in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, October 2025, pp. 1271–1281.
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