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Bartsiokas, Ioannis


Θέση:	Researcher
Email:	Αυτή η διεύθυνση ηλεκτρονικού ταχυδρομείου προστατεύεται από κακόβουλη χρήση. Χρειάζεται να ενεργοποιήσετε την Javascript για να τη δείτε.
Τηλέφωνο:	+30 210 772 4323

Τοποθεσία:	Faculty of Electrical and Computer Engineering - 0.1.3
Ioannis Bartsiokas was born in 1997 in Athens. He received the Diploma Degree in Electrical and Computer Engineering in October 2020 from the Electrical and Computer Engineering School of National Technical University of Athens (NTUA), Greece. From October 2020 he is a PhD candidate at the same school and a member of the Intelligent Communications and Broadband Networks Laboratory of National Technical University of Athens. Scientific Interests: • New generation mobile networks (5G and Beyond). • Wireless networks. • Radio Resource management (RRM) in wireless mobile broadband networks. • Machine Learning Techniques for efficient resource allocation in new generation cellular networks. • Physical layer transmission techniques for cellular networks with adaptive modulation and MIMO antennas.
Δημοσιεύσεις
Περιοδικά
M. L. Bartsioka, I. Bartsiokas, P. Gkonis, A. K. Papazafeiropoulos, D. I. Kaklamani and I. S. Venieris. "A Federated Learning Scheme for Eavesdropper Detection in B5G -IIoT Network Orientations", IEEE Open Journal of the Communications Society, Vol. Early Access. 2025. [More] [Bibtex] [Online version] I. Bartsiokas, P. Gkonis, D. I. Kaklamani and I. S. Venieris. "A Federated Learning-based resource allocation scheme for relaying-assisted communications in multicellular next generation network topologies", Electronics MDPI, Special Issue: “Feature Papers in Microwave and Wireless Communications Section”, Vol. 13, January, 2024, pp. 18. [More] [Bibtex] [Online version] I. Bartsiokas, P. Gkonis, D. I. Kaklamani and I. S. Venieris. "A DL-Enabled Relay Node Placement and Selection Framework in Multicellular Networks", IEEE Access, Vol. 11. 2023, pp. 65153-65169. [More] [Bibtex] [Online version] I. Bartsiokas, P. Gkonis, D. I. Kaklamani and I. S. Venieris. "ML-Based Radio Resource Management in 5G and Beyond Networks: A Survey", IEEE Access, Vol. 10. 2022, pp. 83507-83528. [More] [Bibtex] [Online version]
Κεφάλαια σε Βιβλία
I. Bartsiokas, P. Gkonis, A. K. Papazafeiropoulos, D. I. Kaklamani and I. S. Venieris. "Federated Learning for 6G HetNets' Physical Layer Optimization: Perspectives, Trends, and Challenges". In Encyclopedia of Information Science and Technology, Sixth Edition. IGI Global. 2025. [More] [Bibtex] [Online version]
Συνέδρια
M. L. Bartsioka, I. Bartsiokas, P. Gkonis, D. I. Kaklamani and I. S. Venieris. "ML-Enabled Eavesdropper Detection in Beyond 5G IIoT Networks". presented to the 30th IEEE Symposium on Computers and Communications (ISCC). 2025. [More] [Bibtex] K. A. Psilopanagiotis, I. Bartsiokas, P. Gkonis and D. I. Kaklamani. "On Relay-Based Subcarrier Allocation and Power Management in 5G Multicellular Networks". 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 2022. pp. 1-6. [More] [Bibtex] [Online version]