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Dr. Spiridon Nikolopoulos

Researcher C’

  • 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 C) 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 (173)

  • A. Dragomir, I. Lazarou, M. S. Seet, S. Nikolopoulos, I. Kompatsiaris, A. Bezerianos, "Neural Correlates of Human-Machine Trust in Autonomous Vehicles Context.", In: Bountis, T., Vallianatos, F., Provata, A., Kugiumtzis, D., Kominis, Y. (eds) Chaos, Fractals and Complexity. COSA-Net 2022. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-37404-3_17
  • 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.", 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.", Brain Informatics. BI 2023. Lecture Notes in Computer Science(), vol 13974. Springer, Cham. https://doi.org/10.1007/978-3-031-43075-6_3
  • V. Alepopoulos, M. Grammatikopoulou, I. Lazarou, L. Mpaltadoros, S. Nikolopoulos, V. P. Oikonomou, T. G. Stavropoulos, M. Tsolaki, I. Kompatsiaris and the RADAR-AD Consortium., "First insights exploring Activities of Daily Living performance captured through activity sensors in a Smart Home Environment as an indicator of cognitive decline: A cross-sectional Analysis.", AAIC 2023, 16-20 July. https://alz.confex.com/alz/2023/meetingapp.cgi/Paper/71138
  • M. Grammatikopoulou, G. Giannios, A. Chytas, M. Zachariadou, G. Nikolaidis, P. Natsiavas, S. Nikolopoulos, I. Kompatsiaris, "Paving the way for safer e-prescription: Presentation of the PrescIT platform.", ICIMTH 2023, 1-3 July.
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

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