Georgios Papadopoulos
Assistant Professor
Research Field: Computer Graphics and Computer Vision
Email:
CV
Georgios Th. Papadopoulos IEEE) received the Diploma and Ph.D. degrees in electrical and computer engineering from the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. He was a Postdoctoral Researcher with the Foundation for Research and Technology–Hellas/Institute of Computer Science (FORTH/ICS) and the Centre for Research and Technology–Hellas/Information Technologies Institute (CERTH/ITI). He is currently an Assistant Professor of computer graphics and computational vision with the Department of Informatics and Telematics, Harokopio University of Athens, Greece. He has published over 100 peer-reviewed research papers in international journals and conference proceedings. His research interests include computer vision, artificial intelligence, machine/deep learning, human action recognition, human-computer interaction, and explainable artificial intelligence. He is a member of the Technical Chamber of Greece.
Selected Publications
- J. Cani, C. Diou, S. Evangelatos, V. Argyriou, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, "Illicit object detection in x-ray imaging using deep learning techniques: A comparative evaluation", IEEE Access, 2026.
- P. Alimisis, I. Mademlis, P. Radoglou-Grammatikis, P. Sarigiannidis, and G. Th. Papadopoulos, "Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions", Artificial Intelligence Review, 2025.
- S. Konstantakos, J. Cani, I. Mademlis, D. I. Chalkiadaki, Y. M. Asano, E. Gavves, and G. Th. Papadopoulos, "Self-supervised visual learning in the low-data regime: a comparative evaluation", Neurocomputing, 2025.
- N. Rodis, C. Sardianos, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos. "Multimodal explainable artificial intelligence: A comprehensive review of methodological advances and future research directions", IEEE Access, 2024.
- G. Th. Papadopoulos, M. Antona, and C. Stephanidis, "Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning", IEEE Access, 2021.
- P. Alimisis, I. Mademlis, P. Radoglou-Grammatikis, P. Sarigiannidis, and G. Th. Papadopoulos, "Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions", Artificial Intelligence Review, 2025.
- S. Konstantakos, J. Cani, I. Mademlis, D. I. Chalkiadaki, Y. M. Asano, E. Gavves, and G. Th. Papadopoulos, "Self-supervised visual learning in the low-data regime: a comparative evaluation", Neurocomputing, 2025.
- N. Rodis, C. Sardianos, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos. "Multimodal explainable artificial intelligence: A comprehensive review of methodological advances and future research directions", IEEE Access, 2024.
- G. Th. Papadopoulos, M. Antona, and C. Stephanidis, "Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning", IEEE Access, 2021.