Ioannis (Yiannis) Sarridis

I received both my bachelor’s and master’s degrees from the Department of Informatics at Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2018 and 2020, respectively, and my Ph.D. in Informatics and Telematics from Harokopio University of Athens in 2026. I am currently a Postdoctoral Researcher with the Centre for Research and Technology Hellas, Thessaloniki, Greece. My research interests include AI fairness, face recognition, AI at the edge, computer vision, and deep learning. To date, I have authored 18 publications, including 9 first-author conference papers and 2 first-author journal articles, with two of the first-authored works published in top-tier venues, i.e., IEEE International Conference on Computer Vision (ICCV) and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

news

Apr 01, 2026	I have successfully defended my PhD on the topic of fairness-aware machine learning for multimedia data.
Sep 09, 2025	Three papers on bias assessment and mitigation in visual data has been accepted for publication. MAVias: Mitigate any Visual Bias, ICCV 2025 (link) BAdd: Bias Mitigation through Bias Addition, ICCV 2025 Workshops, (link) VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation, ECAI 2025 Workshops (link)
Nov 05, 2024	The first journal paper related to my PhD research was published in the IEEE Transactions on Pattern Analysis and Machine Intelligence. I. Sarridis, C. Koutlis, S. Papadopoulos and C. Diou, “FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations” in IEEE Transactions on Pattern Analysis & Machine Intelligence, doi: 10.1109/TPAMI.2024.3487254. Paper: link Code: link

selected publications

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MAVias: Mitigate Any Visual Bias

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

DOI Bib

@article{Sarridis2024TPAMI,
  author = {Sarridis, Ioannis and Koutlis, Christos and Papadopoulos, Symeon and Diou, Christos},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title = {{FLAC}: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations},
  year = {2024},
  volume = {},
  number = {},
  pages = {1-13},
  keywords = {Prevention and mitigation;Artificial intelligence;Training;Data models;Mutual information;Accuracy;Visualization;Representation learning;Predictive models;Minimization;Bias mitigation;fairness;mutual information},
  doi = {10.1109/TPAMI.2024.3487254},
}