Tommaso Melodia

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.

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

Faculty

Mar 27, 2023

Building A Connection Between Commanders and Directors

ECE William Lincoln Smith Professor Tommaso Melodia is one of ten local directors to be inducted into the Hanscom Air Force Base Honorary Commander and Director program, which pairs military-connected commanders and directors with civic counterparts to foster relationships, collaborate and share ideas, and build rapport between key community members and senior leaders at Hanscom […]

Faculty

Mar 22, 2023

Improving Wireless IoT Signals Across Communication Channels

ECE Research Assistant Professor Salvatore D’Oro, William Lincoln Smith Professor Tommaso Melodia, and Assistant Professor Francesco Restuccia were awarded a patent for “Device and method for reliable classification of wireless signals.”

Faculty

Mar 22, 2023

Integrating Deep Learning Algorithms to Enable Real-Time Spectrum-Driven Decision-Making

ECE Assistant Professor Francesco Restuccia and William L. Smith Professor Tommaso Melodia were awarded a patent for “Real-time cognitive wireless networking through deep learning in transmission and reception communication paths.” Abstract Source: USPTO Apparatuses and methods for real-time spectrum-driven embedded wireless networking through deep learning are provided. Radio frequency, optical, or acoustic communication apparatus include […]

Faculty

Mar 02, 2023

Beam Management in mmWave Networks Using Deep Waveform Learning

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.”

Faculty

Feb 09, 2023

Transmitting and Receiving Underwater Ultrasonic Signals

ECE Assistant Professor Francesco Restuccia, Research Assistant Professor Emrecan Demirors, and Professor Tommaso Melodia were awarded a patent for “Underwater ultrasonic communication system and method.”

Faculty

Nov 18, 2022

COE Researchers Honored at Annual BPLA Invented Here!

The Boston Patent Law Association (BPLA) hosted its annual Invented Here! contest and honored COE inventors who help further innovation not only in our region but worldwide.

In the Media

Oct 04, 2022

Forget about 5G phones — here comes 6G

At Northeastern University, which has been at the forefront of earlier wireless advances, the first 6G project is taking off. The school’s Institute for the Wireless Internet of Things (directed by ECE Professor Tommaso Melodia) last month won backing from the Department of Defense to develop the new tech under an initiative dubbed “Open6G.” (Featured […]

Faculty

Sep 20, 2022

Northeastern in Top 100 Universities with U.S. Utility Patents

For the seventh consecutive year, Northeastern University has appeared in the National Academy of Inventors (NAI) list of Top 100 Universities that were granted U.S. utility patents in 2021, cementing it as a world leader in academia and research.

Faculty

Aug 17, 2022

Predicting Seizures in Epilepsy Patients

ECE Professor Tommaso Melodia and Principal Research Scientist Pedram Johari, in collaboration with Joseph Neimat from the University of Louisville, Jorge Jimenez from the Georgia Institute of Technology, and Doug Pham from Microchip Technology Inc., received a $550K NSF Partnerships for Innovation – Research Partnerships (PFI-RP)  grant for “Smart Seizure Prediction System based on AI-enabled Implantable Sensor Networks.”

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