Maria Tsampazi

About Me

Maria Tsampazi received her MEng Degree in Electrical and Computer Engineering from National Technical University of Athens, Greece in 2021. She is a Ph.D. Candidate in Electrical Engineering at the Institute for the Wireless Internet of Things at Northeastern University, Boston, MA, USA. Her research interests focus on NextG wireless networks and intelligent resource allocation in Open RAN. She has been the recipient of student awards sponsored by the US National Science Foundation, the IEEE Communications Society and Northeastern University, and is a 2024 recipient of the US National Spectrum Consortium Women in Spectrum Scholarship. She has previously collaborated with both government and industry, including organizations such as the US Department of Transportation and Dell Technologies. She is currently an intern with the Nokia Standards and Radio Interface Group, based in the Greater Chicago Area.

I am a fourth-year PhD candidate and Research Assistant at the Institute for the Wireless Internet of Things at Northeastern University, under the supervision of Prof. Tommaso Melodia. My research focuses on Open RAN systems and the experimental evaluation of NextG RANs in O-RAN. I specialize in AI for and on the RAN, as well as network management and optimization. My expertise includes AI/ML for RAN optimization, beamforming with Reconfigurable Intelligent Surfaces, and energy efficiency in 5G systems. I have extensive experience with experimental testbeds, system-level simulations, and software-defined radio techniques. Additionally, I possess strong technical skills in Python, MATLAB, TensorFlow, and more.

Articles in Journals

• M. Tsampazi, and T. Melodia, "System-Level Experimental Evaluation of Reconfigurable Intelligent Surfaces for NextG Communication Systems," IEEE Transactions on Vehicular Technology, pp. 1–16, in press, April 2025. [pdf] [bibtex]
• M. Polese, L. Bonati, S. D'Oro, P. Johari, D. Villa, S. Velumani, R. Gangula, M. Tsampazi, C. Robinson, G. Gemmi, A. Lacava, S. Maxenti, H. Cheng, and T. Melodia, "Colosseum: The Open RAN Digital Twin," IEEE Open Journal of the Communications Society, pp. 1–13, August 2024. [pdf] [bibtex]
• P. Brach del Prever, S. D'Oro, L. Bonati, M. Polese, M. Tsampazi, H. Lehmann, and T. Melodia, "PACIFISTA: Conflict Evaluation and Management in Open RAN" IEEE Transactions on Mobile Computing, pp. 1–12, May 2024. [pdf] [bibtex]
• M. Tsampazi, S. D'Oro, M. Polese, L. Bonati, G. Poitau, M. Healy, M. Alavirad, and T. Melodia, "PandORA: Automated Design and Comprehensive Evaluation of Deep Reinforcement Learning Agents for Open RAN," IEEE Transactions on Mobile Computing, pp. 1–18, in press, 2024. [pdf] [bibtex]

Articles in Conference Proceedings

• M. Tsampazi, M. Polese, F. Dressler, T. Melodia, "O-RIS-ing: Evaluating RIS-Assisted NextG Open RAN," Proceedings of IEEE International Conference on Computer Communications (INFOCOM) Wkshps, NG-OPERA , London, United Kingdom, May 2025. [pdf] [bibtex]
• M. Tsampazi, S. D'Oro, M. Polese, L. Bonati, G. Poitau, M. Healy, T. Melodia, "A Comparative Analysis of Deep Reinforcement Learning-based xApps in O-RAN," Proceedings of IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023. [pdf] [bibtex]
• M. Diamanti, M. Tsampazi, E.E. Tsiropoulou, S. Papavassiliou, "Energy Efficient Multi-User Communications Aided by Reconfigurable Intelligent Surfaces and UAVs," Proceedings of IEEE International Conference on Smart Computing (SMARTCOMP), Irvine, California, August 2021. [pdf] [bibtex]