Dr. Kostas Loumponias

Postdoctoral Research Associate

  • BSc Mathematics, AUTH (2009-2013)
  • MSc in Statistics and Modelling, Department of Mathematics, AUTH (2013-2015)
  • Ph.D. in Mathematics, Department of Mathematics, AUTH (2016-2020)

Kostas Loumponias joined the Information Technologies Institute (ITI) of the Center for Research and Technology, Hellas (CERTH) in 2020 as a postdoctoral research fellow.  He has previously worked as a research assistant at VC Lab /ITI-CERTH for three years (2016-2018). His main research interests include hidden states estimation with censored data, social network analysis, predictive analytics and deep learning.

Recent Publications

Show all (11)

  • G. Koutidis, K. Loumponias, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Towards AI-Driven Prediction of Terrorism Risk Based on the Analysis of Localized Web News.", In IEEE Access, vol. 12, pp. 167288-167299, 2024. https://doi.org/10.1109/ACCESS.2024.3485913
  • K. Loumponias, A. Kosmatopoulos, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding.", Deep Learning Theory and Applications. DeLTA 2022. Communications in Computer and Information Science, vol 1858. Springer, Cham. https://doi.org/10.1007/978-3-031-37317-6_1
  • K. Loumponias, S. Raptis, E. Darra, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Forecasting Cyber-Attacks to Destination Ports Using Machine Learning", 9th International Conference on Information Systems Security and Privacy (ICISSP), 22-24 February, 2023, Lisbon, Portugal.
  • A. Kosmatopoulos, K. Loumponias, O. Theodosiadou, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Identification of Key Actor Nodes: A Centrality Measure Ranking Aggregation Approach.", In the Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 10-11 November, 2022, Istanbul, Turkey.
  • K. Loumponias, A. Kosmatopoulos, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "A Faster Converging Negative Sampling for the Graph Embedding Process in Community Detection and Link Prediction Tasks.", In Proceedings of the 3rd International Conference on Deep Learning Theory and Applications - DeLTA; ISBN 978-989-758-584-5; ISSN 2184-9277, SciTePress, pages 86-93. DOI: 10.5220/0011142000003277
Contact
Dr. Kostas Loumponias
Building D (Balkan Center)

Information Technologies Institute
Centre of Research & Technology - Hellas
9th km Thessaloniki - Thermi, 57001, Thessaloniki, Greece
Email: loumponias@iti.gr

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