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Dr. Fotis Kalaganis

Postdoctoral Research Associate

  • B.Sc. in Informatics, Dpt of Informatics, A.U.TH (2013)
  • M.Sc. in Digital Media and Computational Intelligence, Dpt. of Informatics, A.U.TH (2016)

Fotis Kalaganis graduated from the Dpt. of Informatics of the Aristotle University of Thessaloniki in 2013 and three years later (2016) he received his MSc degree in “Digital Media and Computational Intelligence” from the same institution. During the master’s programme he was awarded for excellence in academic studies. Since 2016, he is a PhD candidate at Aristotle University of Thessaloniki, Dpt. of Informatics. His doctoral research concerns the development of Computational Intelligence algorithms in Neuroscience, emphasizing in Brain-Computer Interfaces. At the same time, he is working as a research associate at CERTH where he mainly develops signal processing and machine learning algorithms for Brain-Computer Interfaces. His research interests include deep learning, complex-valued kernel methods and non-Euclidean geometry with applications in Computational Neuroscience. His scientific work has been published in prestigious peer-reviewed journals and international conferences.

Recent Publications

Show all (23)

  • N. Lazaridis, K. Georgiadis, F. Kalaganis, G. Kordopatis-Zilos, S. Papadopoulos, S. Nikolopoulos, I. Kompatsiaris, "The Visual Saliency Transformer Goes Temporal: TempVST for Video Saliency Prediction.", IEEE Access, August 2024. DOI: 10.1109/ACCESS.2024.3436585
  • V. Oikonomou, K. Geordiadis, F. Kalaganis, S. Nikolopoulos, I. Kompatsiaris, "Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals.", In IEEE Conference on Artificial Intelligence (CAI), Singapore, 2024 pp. 1111-1116. DOI: 10.1109/CAI59869.2024.00200
  • F. P. Kalaganis, K. Georgiadis, V. P. Oikonomou, S. Nikolopoulos, N. A. Laskaris, I. Kompatsiaris, "Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding.", In: Liu, F., Zhang, Y., Kuai, H., Stephen, E.P., Wang, H. (eds) Brain Informatics. BI 2023. Lecture Notes in Computer Science(), vol 13974. Springer, Cham. https://doi.org/10.1007/978-3-031-43075-6_35
  • K. Georgiadis, F. P. Kalaganis, V. P. Oikonomou, S. Nikolopoulos, N. A. Laskaris, I. Kompatsiaris, "Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry.", In: Liu, F., Zhang, Y., Kuai, H., Stephen, E.P., Wang, H. (eds) Brain Informatics. BI 2023. Lecture Notes in Computer Science(), vol 13974. Springer, Cham. https://doi.org/10.1007/978-3-031-43075-6_3
  • K. Georgiadis, F. P. Kalaganis, K. Riskos, E. Matta, V. P. Oikonomou, I. Yfantidou, D. Chantziaras, K. Pantouvakis, S. Nikolopolos, N. A. Laskaris, I. Kompatsiaris, "NeuMa - the absolute Neuromarketing dataset en route to an holistic understanding of consumer behaviour.", Sci Data 10, 508 (2023). https://doi.org/10.1038/s41597-023-02392-9
Contact
Dr. Fotis Kalaganis
Building A - Office 2.2

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257766
Fax: +30 2310 474128
Email: fkalaganis@iti.gr

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