2022
2021
  • Maria Avramouli, Ilias Κ. Savvas, Georgia Garani and Anna Vasilaki. 2021. Quantum Machine Learning: Current State and Challenges. In 25th Pan-Hellenic Conference on Informatics (PCI 2021), November 26-28, 2021, Volos, Greece. ACM, New York, NY, USA, 8
  • Maria Sabani, Ilias Galanis, Ilias K. Savvas, and Georgia Garani, “Implementation of Shor’s Algorithm and Some Reliability Issues of Quantum Computing Devices”, PCI 2021, Volos, Greece, ACM, New York, NY, USA, 8
  • Ilias P. Galanis, Ilias K. Savvas, and Georgia Garani, “Experimental Approach of the Quantum Volume on Different Quantum Computing Devices”, The 14th International Symposium on Intelligent Distributed Computing – IDC 2021, Italy
  • George K. Adam, Multithreading on reconfigurable hardware: a performance evaluation approach of a multicore FPGA architecture, International Journal of High Performance Systems Architecture, 2021 Vol.10 No.2, pp.105 – 116. DOI: 1504/IJHPSA.2021.119154
  • I. P. Galanis, I. K. Savvas, A. V. Chernov, and M. A. Butakova, “Reliability Testing, Noise and Error Correction of Real Quantum Computing Devices”, IEEE TELFOR journal, 2021, 13(1), pp. 41–46.
  • Adam, G.K.; Petrellis, N.; Doulos, L.T. Performance Assessment of Linux Kernels with PREEMPT_RT on ARM-Based Embedded Devices. MDPI Electronics 2021, 10, 1331. https://doi.org/10.3390/electronics10111331
  • Adam, G.K. Real-Time Performance and Response Latency Measurements of Linux Kernels on Single-Board Computers. Computers 2021, 10, 64. DOI: https://doi.org/10.3390/computers10050064
  • Omiros Iatrellis, Ilias K. Savvas, Panagiotis Fytsilis, and Vassilis C. Gerogiannis, “A two-phase machine learning approach for predicting student outcomes”, Springer Educations and Information Technologies, 26, 69–88 (2021). https://doi.org/10.1007/s10639-020-10260-x
2020
  • I. K. Savvas, A. V. Chernov, and M. A. Butakova, “Experiments with IBM Quantum Devices for Random Number Generation and String Matching”, 28th Telecommunications forum TELFOR 2020, Serbia, Belgrade, November 24-25, 2020. DOI: https://doi.org/10.1109/TELFOR51502.2020.9306624
  • Omiros Iatrellis, Ilias K. Savvas, Panagiotis Fytsilis, and Achilles Kameas, “Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics”, Springer Educations and Information Technologies, 25, 3109–3129 (2020). https://doi.org/10.1007/s10639-020-10105-7
  • Adam, G.K.; Petrellis, N.; Kontaxis, P.A.; Stylianos, T. COTS-Based Real-Time System Development: An Effective Application in Pump Motor Control. Computers 2020, 9, 97. DOI: https://doi.org/10.3390/computers9040097
  • Adam, G.K.; Petrellis, N.; Garani, G.; Stylianos, T. COTS-Based Architectural Framework for Reliable Real-Time Control Applications in Manufacturing. MDPI Applied Sciences 2020, 10, 3228. DOI: https://doi.org/10.3390/app10093228