Northeastern University Wireless Networks and Embedded Systems Lab
Matteo Bordin

Matteo Bordin

Ph.D. Student in Computer Engineering

Institute for the Wireless Internet of Things

Department of Electrical and Computer Engineering
Northeastern University

Office: 460 ISEC, 805 Columbus Ave, Boston, MA 02120
Mail: 409 Dana Research Center, 360 Huntington Ave, Boston, MA 02115

Email: bordin.m@northeastern.edu

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Biography

Matteo is a Ph.D. student in Computer Engineering at the Institute for the Wireless Internet of Things at Northeastern University, under Prof. Tommaso Melodia. He received his B.S. in Computer Engineering in Computer Science and his M.S. in ICT for Internet and multimedia - Cybersystems from University of Padova in 2019 and 2021, respectively while on 2020 he spent his winter semester as exchange student at Technical university of Denmark (DTU). Proficient in Python and C++, with expertise in machine learning and data analysis for 5G/6G and O-RAN systems. He has developed applications and models to improve network performance, reduce operational costs, and optimize communication. His experience includes implementing Deep Reinforcement Learning models for energy savings in 5G and developing a time-series machine learning model to predict critical network alarms. He also contributed to open-source projects for digital twin frameworks and worked on optimizing UAV 5G communication. (Check Publications section for further details)

Research Interests

  • Software-defined Networking for Wireless

  • Internet of Things

  • Non-terrestrial 5G/6G UAV Networks

Publications

  • T. Ropitault, M. Bordin, P. Testolina, M. Polese, P. Johari, N. Golmie, T. Melodia, "Enabling Site-Specific Cellular Network Simulation Through Ray-Tracing-Driven ns-3," IEEE Consumer Communications & Networking Conference (CCNC) 2026, Las Vegas, January 2026. [pdf] [bibtex]

  • M. Bordin, M. S. Holla, S. Velumani, S. D'Oro, T. Melodia, "5G Aero: A Prototyping Platform for Evaluating Aerial 5G Communications," IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2025, Istanbul (Türkiye), September 2025. [pdf] [bibtex]

  • M. Bordin, A. Lacava, M. Polese, F. Cuomo, T. Melodia, "Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN," IEEE Consumer Communications & Networking Conference (CCNC) 2025 (demo paper), Las Vegas, January 2025. Best Demo Award Runner-up [pdf] [bibtex]

  • M. Bordin, A. Lacava, M. Polese, S. Satish, M. A. Nittoor, R. Sivaraj, F. Cuomo, T. Melodia, "Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN," IEEE Consumer Communications & Networking Conference (CCNC) 2025, Las Vegas, January 2025. [pdf] [bibtex]

  • A. Sheshashayee, M. Bordin, P. Brach del Prever, D. Villa, H. Cheng, C. Petrioli, T. Melodia, S. Basagni, "Experimental Evaluation of the Performance of UAV-assisted Data Collection for Wake-up Radio-enabled Wireless Networks," Proceedings of IEEE Vehicular Technology Conference (VTC) Spring, Singapore, June 2024. [pdf] [bibtex]

  • A. Lacava, M. Bordin, M. Polese, R. Sivaraj, T. Zugno, F. Cuomo, T. Melodia "ns-O-RAN: Simulating O-RAN 5G Systems in ns-3" Proceedings of the 2023 Workshop on ns-3, WNS3 ’23, (New York, NY, USA), p. 35–44, Association for Computing Machinery, June 2023 [pdf] [bibtex]

  • M. Bordin, M. Giordani, M. Polese, T. Melodia, and M. Zorzi, "Autonomous Driving From the Sky: Design and End-to-End Performance Evaluation", Proceedings of the IEEE GLOBECOM Workshop on 6G Communication Systems (NetMan6G), Rio de Janeiro, Brazil, December 2022. [pdf] [bibtex]

Thesis

  • M. Bordin, M. Giordani, M. Polese, "Autonomous driving from the sky: study, design and evaluation of communication techniques between UAVs and autonomous cars", M.S. Thesis, University of Padova, October 2021.

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