PhD Student and Research Assistant
Wireless Networks and Embedded Systems Laboratory
Department of Electrical and Computer Engineering
Northeastern University
Office: 640B1 EXP, 815 Columbus Ave, Boston, MA 02120
Mail:
409 Dana Research Center, 360 Huntington Ave., Boston, MA 02115
Email: tsampazi.m@northeastern.edu
Maria Tsampazi received her Master of Engineering (MEng) Degree in Electrical and Computer Engineering from National Technical University of Athens, Greece in 2021. She is a PhD candidate at the Institute for the Wireless Internet of Things at Northeastern University under the supervision of Prof. Tommaso Melodia. Her research interests focus on NextG wireless networks and intelligent resource allocation in Open RAN.
Wireless Communications
Wireless Spectrum Sharing
Resource Allocation
Network Optimization
O-RAN
AI/ML
M. Tsampazi, and T. Melodia, "System-Level Experimental Evaluation of Reconfigurable Intelligent Surfaces for NextG Communication Systems" arXiv:2412.12969 [cs.NI], pp. 1-16, December 2024. [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" arXiv:2405.04395 [cs.NI], 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, in press, 2024. [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]
M. Tsampazi, "Energy Efficient Multi-User Communications Aided by Reconfigurable Intelligent Surfaces and UAVs", Diploma Thesis, National Technical University of Athens, Greece, June 2021.