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English (United Kingdom)

Bartsioka, Maria-Lamprini


Position:	Researcher
Email:	This e-mail address is being protected from spambots. You need JavaScript enabled to view it
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FAX:	0 210 772 4323
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Maria-Lamprini Bartsioka was born in 2001 in Athens, Greece. He graduated in 2024 from the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). Since October 2024 he is a PhD candidate at the School of Electrical and Computer Engineering and a member of the research team at the Intelligent Communications and Broadband Networks Laboratory. She is a member of the Technical Chamber of Greece (TEE). Areas of Scientific Research: • New generation mobile networks (B5G and 6G). • Radio Resource management (RRM) in wireless mobile broadband networks. • Machine, Deep and Federated Learning Techniques for efficient cellular networks. • AI-aided Physical Layer security in B5G/6G networks. • Physical layer transmission techniques for cellular networks with adaptive modulation and MIMO antennas.
Publications
Journals
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. Panopoulos, M.-L. Bartsioka, S. Nikolaidis, S. I. Venieris, D. I. Kaklamani and I. S. Venieris. "A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation", submitted to IEEE Transactions on Machine Learning in Communications and Networking (TMLCN). 2025. [More] [Bibtex]
Conferences
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] I. Panopoulos, M.-L. Bartsioka, S. Nikolaidis, S. I. Venieris, D. I. Kaklamani and I. S. Venieris. "Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT". accepted to the 10th International Conference on Smart and Sustainable Technologies (SpliTech 2025). 2025. [More] [Bibtex]