Tommaso Melodia
William Lincoln Smith Professor,
Electrical and Computer Engineering
Director,
Institute for the Wireless Internet of Things
Office
- 412 ISEC
- 617.373.4159
Research Focus
Modeling, optimization, and experimental evaluation of wireless networked systems; Networked implantable medical systems; Multimedia sensor networks; Secure tactical cognitive radio networks; Underwater networks; Mobile cloud computing
About
Tommaso Melodia (M’07) received the “Laurea” and Doctorate degrees in telecommunications engineering from the University of Rome “La Sapienza,” Rome, Italy, in 2001 and 2005, respectively, and the Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2007.
Between 2007 and 2014 he was an Assistant and then Associate Professor at SUNY Buffalo. In 2014, he joined Northeastern University as an Associate Professor of Electrical and Computer Engineering. His current research interests are in modeling, optimization, and experimental evaluation of wireless networks, with applications to intra-body networks of implantable devices, tactical cognitive radio networks, multimedia sensor networks, and underwater networks.
Prof. Melodia serves in the editorial boards of the IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, IEEE Transactions on Multimedia, and Computer Networks (Elsevier). He received a National Science Foundation CAREER Award, and he coauthored a paper that was recognized as the Fast Breaking Paper in the field of Computer Science by Thomson ISI Essential Science Indicators and a paper that received an Elsevier Top Cited Paper Award.
Honors & Awards
- Association for Computing Machinery (ACM) Distinguished Member
- COE Faculty Fellow
- COE Faculty Research Team Award
- IEEE Fellow
- IEEE Communications Society Distinguished Lecturer
- National Academy of Inventors (NAI) Fellow, 2024
- NSF CAREER Award
- Soren Buus Outstanding Research Award
Research Overview
Modeling, optimization, and experimental evaluation of wireless networked systems; Networked implantable medical systems; Multimedia sensor networks; Secure tactical cognitive radio networks; Underwater networks; Mobile cloud computing
Wireless Networks and Embedded Systems Laboratory
The WINES Lab is designing a new generation of secure, reliable, energy-efficient wireless networked systems with higher intelligence and integration with the physical environment. Focus is on advancing the fundamental understanding of wireless networking. We also design and develop new networked systems, with a cross-layer and cross-disciplinary approach.
Selected Research Projects
- Development towards a Community Research Platform for sub-THz Satellite Communication Networks
- – Co-Principal Investigator, National Science Foundation
- AutoRAN: Automated End-to-End Continuous Testing for Open and Disaggregated Cellular Systems
- – co-Principle Investigator, CHIPS and Science Act
- DigiRAN: High-Fidelity Digital Twins for Interoperability, Security and Performance Testing of Open RAN Systems
- – co-Principle Investigator, CHIPS and Science Act
- Dynamically Adjustable Spectrum Sharing between Ground Communication Networks and Earth Exploration Satellite Systems Above 100 GHz
- – co-Principal Investigator, National Science Foundation
- Resilient-by-Design Data-Driven NextG Open Radio Access Networks
- – co-Principal Investigator, National Science Foundation
- Next-Gen Wireless Networks
- – Principle Investigator, CHIPS and Science Act
- Cognitive Distributed Sensing in Congested Radio Frequency Environments
- – co-Principal Investigator, U.S. Army Research Laboratory
- Smart Seizure Prediction System based on AI-enabled Implantable Sensor Networks
- – Principle Investigator, National Science Foundation
- An Open, Programmable Platform to Conquer the 5G and 6G Wireless Spectrum
- – Co-Principle Investigator, National Science Foundation
- NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE)
- – Co-Principal Investigator, National Science Foundation
- RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community
- – Co-Principal Investigator, National Science Foundation
- Colosseum: Opening and Expanding the World’s Largest Wireless Network Emulator to the Wireless Networking Community
- – Principal Investigator; National Science Foundation & Defense Advanced Research Projects Agency
- MRI: SEANet: Development of a Software-Defined Networking Testbed for the Internet of Underwater Things
- – Principal Investigator, National Science Foundation
Research Centers and Institutes
Department Research Areas
Selected Publications
- Cen, Nan, Guan, Zhangyu, Melodia, Tommaso (2021). Compressed Sensing based Low-Power Multi-view Video Coding and Transmission in Wireless Multi-path Multi-hop Networks. IEEE Transactions on Mobile Computing, ,1-1. 10.1109/TMC.2021.3049797
- F. Restuccia, T. Melodia, PolymoRF: Polymorphic Wireless Receivers Through Physical-Layer Deep Learning, Proceedings of ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), 2020
- S. D’Oro, L. Bonati, F. Restuccia, M. Polese, M. Zorzi, T. Melodia, Sl-EDGE: Network Slicing at the Edge, Proceedings of ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), 2020
- L. Zhang, F. Restuccia, T. Melodia, S. Pudlewski, Jam Sessions: Analysis and Experimental Evaluation of Advanced Jamming Attacks in MIMO Networks, ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Catania, Italy, 2019
- S. D’Oro, F. Restuccia, A. Talamonti, T. Melodia, The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems, IEEE Conference on Computer Communications (INFOCOM) Paris, France, 2019
Feb 19, 2025
Patent for AI-Powered Control of Drone Networks
ECE William Lincoln Smith Professor Tommaso Melodia and Associate Research Professor Salvatore D’Oro were awarded a patent for “Distributed deep reinforcement learning framework for software-defined unmanned aerial vehicle network control.”
Feb 19, 2025
Patent for Automated Control of Drone Swarm Networks
ECE William Lincoln Smith Professor Tommaso Melodia and Associate Research Professor Salvatore D’Oro were awarded a patent for “Software defined drone network control system.”
Feb 07, 2025
Institute for the Wireless Internet of Things Hosts Industry Conference, Showcases Research
The Institute for the Wireless Internet of Things highlighted its leadership role in wireless and smart connected systems research at its two-day conference, “Toward Open 6G Networks.” The institute plays an essential role in fostering partnerships between industry, government, and universities to develop wireless technologies for the future.
Feb 07, 2025
Patent for AI-Driven Wireless Beam Management
ECE Principal Research Scientist Michele Polese, Assistant Professor Francesco Restuccia, and Professor Tommaso Melodia were awarded a patent for “Coordination-free mmWave beam management with deep waveform learning.”
Jan 31, 2025
2024 Stanford University Annual Assessment of Author Citations
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2% of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes those who published a paper in 2024 or later.
Jan 09, 2025
Patent for Improved Management of Cellular Networks
ECE William Lincoln Smith Professor Tommaso Melodia, Associate Research Scientist Leonardo Bonati, and Associate Research Professor Salvatore D’Oro were awarded a patent for “Operating system for software-defined cellular networks.”
Dec 11, 2024
Sun and Melodia Named National Academy of Inventors Fellows
ECE Distinguished Professor Nian Sun and William Lincoln Smith Professor Tommaso Melodia were selected as Fellows of the National Academy of Inventors (NAI). Election as an Academy Fellow is the highest professional distinction awarded solely to inventors.
Nov 26, 2024
Optimizing Wireless Networks With Digital Twins
ECE Principal Research Scientist Pedram Johari and William Lincoln Smith Professor Tommaso Melodia received the Best Paper Award for “TwiNet: Connecting Real World Networks to Their Digital Twins Through a Live Bidirectional Link” at the 2024 IEEE Global Communications Conference.
Nov 26, 2024
Optimizing Wireless Backhaul Networks
ECE Research Scientist Gabriele Gemmi, Assistant Research Professor Michael Polese, and William Lincoln Smith Professor Tommaso Melodia received the Best Paper Award for “Optimizing and Managing Wireless Backhaul for Resilient Next-Generation Cellular Networks” at the 20th International Conference on Network and Service Management (CNSM).
Oct 23, 2024
Patent for Improving O-RAN Efficiency and Flexibility
ECE Associate Research Professor Salvatore D’Oro, William Lincoln Smith Professor Tommaso Melodia, Assistant Research Professor Michele Polese, and Associate Research Scientist Leonardo Bonati were awarded a patent for “Intelligence and learning in O-RAN for 5G and 6G cellular networks.”