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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. Kinnas, J. Violos, I. Kompatsiaris, S. Papadopoulos, "Reducing inference energy consumption using dual complementary CNNs.", Future Generation Computer Systems, vol. 165. Elsevier BV, p. 107606, Apr. 2025. doi: 10.1016/j.future.2024.107606
  • I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations.", IEEE Transactions on Pattern Analysis and Machine Intelligence (2024). doi: 10.48550/ARXIV.2304.14252
  • I. Slesinger, E. Yalaz, S. Rizou, M. Gibin, E. Krasanakis, S. Papadopoulos, "Training in Co-Creation as a Methodological Approach to Improve AI Fairness.", Societies, vol. 14, no. 12. MDPI AG, p. 259, Dec. 03, 2024. doi: 10.3390/soc14120259
  • H. Mareen, D. Karageorgiou, G. Van Wallendael, P. Lambert, S. Papadopoulos, "TGIF: Text-Guided Inpainting Forgery Dataset.", Proc. of WIFS 2024.
  • E. Patsiouras, S. Kyriakou Vasileiou, S. Papadopoulos, N. I. Dourvas, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "Integrating AI and Computer Vision for Ballistic and Bloodstain Analysis in 3D Digital Forensics.", In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St Albans, UK, October 21-23, 2024.
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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