• About

    Sotiris Skaperas received the B.Sc. degree in mathematics and the M.Sc. degree in statistics and modeling from the Aristotle University of Thessaloniki, Greece, in 2013 and 2016, respectively, and the Ph.D. degree from the Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece, in 2020. He is a Post-doctoral Researcher at the Athena Research and Innovation Center and the University of Macedonia, before that he was a Post-doctoral Researcher at the CY Cergy Paris University, France. His main research interests include anomaly detection, resource allocation/load balancing and wireless communication security in computer networks, using change point and machine learning methods.

  • Selected Papers

    Journal Articles

    • M. Srinivasan, S. Skaperas, M. Mitev, M. S. Herfeh, M. K. Shehzad, P. Sehier, A. Chorti, “Smart Channel State Information Pre-processing for Authentication and Symmetric Key Distillation”, IEEE Transactions on Machine Learning in Communications and Networking, vol. 1, pp. 328-345, 2023.
    • L. Mamatas, V. Demiroglou, S. Kalafatidis, S. Skaperas, V. Tsaoussidis, "Protocol-Adaptive Strategies for Wireless Mesh Smart City Networks", IEEE Network, vol. 37, no. 2, pp. 136-143, 2023.
    • P. Valsamas, S. Skaperas, L. Mamatas, L. M. Contreras, "Virtualization Technology Blending for resource-efficient edge clouds", Computer Networks, vol. 225, pp. 109646, 2023.
    • S. Kalafatidis, S. Skaperas, V. Demiroglou, L. Mamatas, V. Tsaoussidis, "Logically-Centralized SDN-Based NDN Strategies for Wireless Mesh Smart-City Networks", Future Internet, vol. 15, no. 1, pp 19, 2023.
    • S. Skaperas, N. Ferdosian, A. Chorti and L. Mamatas , “Scheduling of Heterogeneous Services by Resolving Conflicts ”, IEEE Access, vol. 10, pp: 36576-36591, 2022.
    • S. Skaperas, L. Mamatas and A. Chorti, “Real-time algorithms for the detection of changes in the variance of video content popularity”, IEEE Access, vol. 8, pp: 30445–30457, 2020.
    • S. Skaperas, L. Mamatas and A. Chorti, “Real-time video content popularity detection based on mean change point analysis”, IEEE Access, vol.7, pp: 142246-142260, 2019.
    • O. Theodosiadou, S. Skaperas and G. Tsaklidis, “Change point detection and estimation of the two-sided jumps of asset returns using a modified Kalman filter”, MDPI, Risks, vol. 5, pp. 15, 2017.

    Conference Proceedings

    • S. kalafatidis, V. DImiroglou, S. Skaperas et al, “Experiments with SDN-based Adaptable Non-IP Protocol Stacks in Smart-City Environments ", in Proc. IEEE Symp. Comput. Commun. (ISCC),
      Rhodes , Greece, Jul., 2022.
    • M. Srinivasan, S. Skaperas, MS Herfeh, and A. Chorti, “Joint localization-based node authentication and secret key generation ", in Proc. IEEE Int. Conf. Commun. (ICC), Seoul, South Korea, 16–20 May 2022.
    • M. Srinivasan, S. Skaperas and A. Chorti, “On the Use of CSI for the Generation of RF Fingerprints and Secret Keys", in Proc. 25th Int. ITG Workshop on Smart Ant. (WSA), French Riviera, France, Nov. 2021.
    • N. Ferdosian, S. Skaperas, A. Chorti and L. Mamatas, “Conflict-aware multi-numerology radio resource allocation for heterogeneous services”, in Proc. IEEE Int. Conf. Commun. (ICC) Workshop on ULMC6GN, Montreal, Canada, 14-23 Jun. 2021.
    • G.A. Nunez Segura, S. Skaperas, A. Chorti, L. Mamatas, C. Borges Magri, “Denial of service attacks detection in software-defined wireless sensor network”, in Proc. IEEE Int. Conf. Commun (ICC) Worskhop on SDN Security, Dublin UK, 7-11 Jun. 2020.
    • P. Valsamas, S. Skaperas, G. Violettas, T. Theodorou, S. Petridou, D. Vardalis, A. Tsioukas and L. Mamatas, “Experimenting with cloud and network orchestration for multi-access edge computing”, Demo Paper, IEEE Wireless Commun. Netw. Conf. (WCNC), Marrakech, Morocco, April 2019.
    • S. Skaperas, L. Mamatas, A. Chorti, “Early video content popularity detection with change point analysis”, in Proc. IEEE Int. Global Commun. (GLOBECOM), Abu Dhabi, UAE, 6-11 December 2018.
    • P. Valsamas, S. Skaperas and L. Mamatas, “Elastic content distribution based on unikernels and change-point analysis”, in Proc. 24th Eur. Wireless Conf. (EW), Catania, Italy, 2-4 May, 2018, pp. 1-7.
    • Theodosiadou O, Skaperas S., Tsaklidis G., and Kugiumtzis D., “Estimating the positive and negative jumps of asset returns via Kalman filtering. Change point detection for the case of Nasdaq index,” 9th Conference in Actuarial Science & Finance, Samos, Greece, 2016.
  • Contact Info & Links

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