Maria Tsampazi

About Me

Maria Tsampazi received her MEng Degree in Electrical and Computer Engineering from the National Technical University of Athens, Greece, in 2021, and her Ph.D. in Electrical Engineering from Northeastern University, Boston, MA, USA, in 2026. She is currently a Scientific Project Manager/Researcher within the I-SENSE Group, Institute of Communication and Computer Systems (ICCS), National Technical University of Athens. Her research interests focus on NextG wireless networks and intelligent resource allocation in Open RAN. She has received 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. Her experience includes collaborations with the US Department of Transportation and Dell Technologies USA, and Canada, as well as industry experience with Nokia Research and Technology in the Greater Chicago Area.

I received my Ph.D. in Electrical Engineering from the Institute for Intelligent Networked Systems at Northeastern University, under the supervision of Prof. Tommaso Melodia. My research focused on Open RAN systems and the experimental evaluation of NextG RANs in O-RAN. I specialized in AI for and on the RAN, as well as network management and optimization. My expertise included AI/ML for RAN optimization, beamforming with Reconfigurable Intelligent Surfaces, and energy efficiency in 5G systems. I had extensive experience with experimental testbeds, system-level simulations, and software-defined radio techniques.

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, N. Neasamoni Santhi, N. Perrotta, F. Dressler, T. Melodia, "ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments," European Wireless, June 2026. [pdf] [bibtex]
• M. Tsampazi, P. Testolina, M. Polese, and T. Melodia, "Satellite-Terrestrial Spectrum Sharing in FR3 through QoS-Aware Power Control and Spatial Nulling," 2026 IEEE International Symposium on Spectrum Innovation (DySPAN), Washington, DC, USA, May 2026. [pdf] [bibtex]
• 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]