Ioannis Bartsiokas

Division of Information Transmission Systems and Material Technology

Brief Biography

Dr. Ioannis A. Bartsiokas was born in Athens in 1997. He graduated from the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA), where he received his Diploma (M.Eng.) in 2020 and his Doctoral Degree (Ph.D.) in 2023, specializing in next-generation wireless communication networks (5G/B5G) and artificial intelligence (AI) technologies for telecommunication systems. From 2020 to 2023, he served as a Postdoctoral Researcher at the Intelligent Communications and Broadband Networks Laboratory (ICBNet) and the Microwave and Fiber Optics Laboratory (MFOL) of NTUA, where he contributed to the design and development of innovative solutions for 5G/B5G and 6G networks. Since September 2025, he has been a member of the Laboratory Teaching Staff (Ε.ΔΙ.Π.) at the NTUA ECE School, contributing to the teaching of undergraduate and postgraduate courses.

In the past, he has worked as a Wireless Communications Engineer/Researcher with major Greek companies, participating in cutting-edge projects related to communication security and the development of pioneering telecommunication infrastructures. He has contributed numerous scientific publications to prestigious international journals (IEEE Access, Open Journal of the Communications Society, etc.) and leading conference proceedings (VTC, ISCC, PIMRC, etc.), while also being involved in the preparation and evaluation of research proposals.

Furthermore, he is actively engaged in the academic community as a Guest Editor of the special issue “Advances in 5G and Beyond Mobile Communication” in the international scientific journal MDPI Electronics, while also serving as a reviewer for top-tier international journals, such as IEEE Transactions on Wireless Communications. He is a member of the Technical Chamber of Greece (TEE).

Research Interests

• 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

 Publications Link

Courses