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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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  • M. Pergantis, P. Xylogiannis, N. Vryzas, S. Papadopoulos, A. Giannakoulopoulos, C. Dimoulas, "UX Evaluation and Best Practices for Social Research Data-Collection Tools: The Case of iMedius FormBuilder.", in Proceedings of the 3rd International Conference of the ACM Greek SIGCHI Chapter (CHIGreece '25), Syros, Greece, September 24, 2025, pp. 165–173, doi: 10.1145/3749012.3749045
  • G. Karantaidis, A. Pantsios, I. Kompatsiaris, S. Papadopoulos, "Few-Shot Class-Incremental Learning for Efficient SAR Automatic Target Recognition.", in Proceedings of the 2025 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 14-17 September, 2025, pp. 1534-1539, doi: 10.1109/ICIP55913.2025.11084636
  • I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation.", in Proceedings of the AEQUITAS Workshop on Fairness and Bias in AI, co-located with ECAI, 2025.
  • A. Skoularikis, S. I. Papadopoulos, S. Papadopoulos, P. C. Petrantonakis, "'Humor, Art, or Misinformation?': A Multimodal Dataset for Intent-Aware Synthetic Image Detection.", in Proceedings of the DHOW 2025 Workshop, co-located with ACM Multimedia, 2025.
  • E. Amarantidou, C. Koutlis, S. Papadopoulos, P. C. Petrantonakis, "Composite Data Augmentations for Synthetic Image Detection against Real-World Perturbations.",in Proceedings of the 33rd European Signal Processing Conference (EUSIPCO 2025), Palermo, Italy, September 2025, pp. 1213-1217.
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