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Dr. Athanasios Psaltis

Postdoctoral Research Associate

  • Diploma in Computer Engineering & Telecommunication Networks, University of Thessaly, Greece (2011)
  • Master of Science, specialized in Game and Media Technology, Dpt of Informatics, Utrecht University, Netherlands (2013).
  • Ph.D. in Electrical and Electronics Engineering, University of West Attica, Greece (2024) - Research Focus: Privacy-preserving AI, computer vision, and federated learning.

Dr. Athanasios Psaltis is a Postdoctoral Researcher at the Information Technologies Institute (ITI) of the Centre for Research and Technology Hellas (CERTH). He has strong background in designing and developing technologies, as well as in designing, developing, and training machine learning algorithms for image and video processing. Since 2015, he has participated in more than 10 research projects, playing an active role in both conducting and coordinating research activities in computer vision technologies, as well as in multimedia data analysis and fusion technologies. His academic work includes more than 25 publications in international scientific journals and conferences, focusing on fields such as computer vision, federated learning, and privacy in Artificial Intelligence.

Recent Publications

Show all (21)

  • A. Kastellos, A. Psaltis, C. Z. Patrikakis, P. Daras, "FedHARM: Harmonizing Model Architectural Diversity in Federated Learning.", In Proceedings of the European Conference on Computer Vision (ECCV 2024), Milan, Italy.
  • A. Psaltis, A. Kastellos, C. Z. Patrikakis, P. Daras, "FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data.",In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 1039-1048), October 2023.
  • A. Psaltis, C. Chatzikonstantinou, C. Z. Patrikakis, P. Daras, "FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning.",In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023, pp. 3463-3472
  • A. Psaltis, C. Z. Patrikakis, P. Daras, "Deep Multi-modal Representation Schemes for Federated 3D Human Action Recognition.", Computer Vision – ECCV 2022 Workshops. ECCV 2022. Lecture Notes in Computer Science, vol 13806. Springer, Cham. https://doi.org/10.1007/978-3-031-25075-0_24
  • G. Kalitsios, L. Lazaridis, A. Psaltis, A. Axenopoulos, P. Daras, "Vision-Enhanced System For Human-Robot Disassembly Factory Cells: Introducing A New Screw Dataset.", IEEE International Conference on Robotics and Computer Vision (ICRCV), September 2022.
Contact
Dr. Athanasios Psaltis
Building A - Office 2.5

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: 2311 257803
Fax: +30 2310 474128
Email: at.psaltis@iti.gr