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Dr. Spiridon Nikolopoulos

Researcher B’

  • Dipl. Computer Engineering & Informatics, University of Patras (2002)
  • MSc, Computer Science & Technology, University of Patras (2004)
  • PhD, Semantic multimedia analysis using knowledge and context, Queen Mary University of London (2012)

Dr. Spiros Nikolopoulos received his diploma degree in Computer Engineering and Informatics from the University of Patras in 2002, while in 2004 he received the MSc degree in Computer Science & Technology from the same university. In 2012 he was awarded a PhD by the Electronic Engineering Department of Queen Mary, University of London, for his doctoral thesis on Semantic Multimedia Analysis using knowledge and context. He has been actively engaged in research and development activities from 2000, initially as a research assistant in the university of Patras (2000-2004) and Aristotle University of Thessaloniki (2004-2005), and later on as a research associate (2005-2012) and post-doctoral researcher (2012-2020) when he joined the Multimedia Knowledge and Social Media Analytics Laboratory (MKLab) of the Information Technologies Institute (ITI) in the Centre for Research and Technology Hellas (CERTH). As of mid-2020 he holds the position of Researcher (Grade Β) in the same institute. He has been also a founding member of the spin-off company Infalia (2014), where he is still active.

Recent Publications

Show all (218)

  • F. P. Kalaganis, K. Georgiadis, V. P. Oikonomou, N. A. Laskaris, S. Nikolopoulos, I. Kompatsiaris, "A hybrid neuromarketing approach exploiting EEG graph signal processing and gaze dynamic patterning.", Brain Informatics, vol. 12, September 2025.
  • J. Botz, S. Augustin, A. K. Brem, Z. Khan, S. Nikolopoulos, D. Aarsland, H. Fröhlich and PREDICTOM Consortium, "Risk stratification for the enrichment of potential high-risk groups in a cognitive normal study population.", in Proceedings of the Alzheimer's Association International Conference, Toronto, Canada, July 27-31, 2025.
  • V. P Oikonomou, I. Lazarou, K. Geordiadis, S. Nikolopoulos, I. Kompatsiaris, and the PREDICTOM Consortium, "Are Resting-State EEG Signals the Key to Decoding Functional Brain Networks in Alzheimer’s Disease Spectrum.", in Proceedings of the Alzheimer's Association International Conference, Toronto, Canada, July 27-31, 2025.
  • A. K. Brem, Z. Khan, E. Pickering, J. Botz, J. Mitterreiter, N. J. Ashton, M. Pszeida, B. Huang, S. Brandt, R. Layton, S. Campill, M. T. Gjestsen, P. Tegethoff, F. Cacciamani, S. de Witte, L. Ferré-González, A. J. Mendes, A. B. Solana Sanchez, S. Nikolopoulos, H. Fröhlich, A. Corbett, D. Aarsland and PREDICTOM Consortium, "Prediction of Alzheimer’s disease using an AI driven screening platform: interim results of the PREDICTOM study.", in Proceedings of the Alzheimer's Association International Conference, Toronto, Canada, July 27-31, 2025.
  • A. K. Brem, Z. Khan, E. Pickering, M. T. Gjestsen, J. Mitterreiter, N. J. Ashton, M. Pszeida, B. Huang, S. Brandt, R. Layton, S. Campill, D. Gove, S. Nikolopoulos, A. Corbett, D. Aarsland and PREDICTOM Consortium, "Prediction of Alzheimer’s disease using an AI driven screening platform: interim results on feasibility, usability and acceptability of home-based assessments in the PREDICTOM study.", in Proceedings of the Alzheimer's Association International Conference, Toronto, Canada, July 27-31, 2025.
Contact
Dr. Spiridon Nikolopoulos
Building A - Office 0.7

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257752
Fax: +30 2310 474128
Email: nikolopo@iti.gr