Tommaso Melodia

William Lincoln Smith Professor,  Electrical and Computer Engineering
Director,  Institute for the Wireless Internet of Things

Contact

Social Media

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

  • COE Faculty Fellow
  • COE Faculty Research Team Award
  • IEEE Fellow
  • IEEE Communications Society Distinguished Lecturer
  • 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

A detail view of the radio and server system used for professor Tommaso Melodia's WiNES lab.

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.

WiNES Lab

Selected Research Projects

Research Centers and Institutes

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
Tommaso Melodia

In the Media

May 20, 2024

Test and Measurement: Northeastern’s OTIC Up and Running

ECE William Lincoln Smith Professor Tommaso Melodia was featured in the RCR Wireless article “Test and Measurement: Northeastern’s OTIC up and running.”

Faculty

May 08, 2024

Early Health Alerts From Implanted Medical Devices

ECE Assistant Professor Francesco Restuccia and ECE William Lincoln Smith Professor Tommaso Melodia were awarded a patent for “Embedded networked deep learning for implanted medical devices.”

Faculty

Apr 09, 2024

Advanced Methods in Enforcing Network Slicing Policies

ECE Assistant Research Professor Salvatore D’oro, Assistant Professor Francesco Restuccia, and Professor Tommaso Melodia were awarded a patent for “Methods for the enforcement of network slicing policies in virtualized cellular networks.”

Faculty

Apr 04, 2024

Transforming Wireless Communication With Deep Learning

ECE William Lincoln Smith Professor Tommaso Melodia and Assistant Professor Francesco Restuccia were awarded a patent for “Deep learning-based polymorphic platform.”

Faculty

Feb 26, 2024

Northeastern Joins New Global AI Alliance as a Founding Member

Northeastern joined the AI-RAN Alliance and is the only U.S. university and research institute to serve as a founding member. The alliance will examine and study emerging technology and develop new AI-based mobile networking systems that could shorten development times, increase data speeds, and enable new mobile experiences for consumers.

Faculty

Feb 26, 2024

Northeastern Among Top 100 Universities for Utility Patents

Northeastern University, recognized for its excellence in innovation and entrepreneurship, has once again been named one of the top 100 universities worldwide for securing utility patents by the National Academy of Inventors.

Faculty

Jan 23, 2024

Developing AI-Powered Testing for Next-Gen Cellular Networks

ECE Assistant Research Professor Michele Polese is leading a $2 million project awarded by the Wireless Innovation Fund for “AutoRAN: Automated End-to-End Continuous Testing for Open and Disaggregated Cellular Systems.”

Faculty

Jan 17, 2024

Ganguly and Melodia Elevated to ACM Distinguished Members

COE Distinguished Professor Auroop Ganguly of CEE and William Lincoln Smith Professor Tommaso Melodia of ECE were recognized as Distinguished Members of the Association for Computing Machinery (ACM) for their significant contributions. Ganguly was elevated for foundational advances, sustained service, and entrepreneurial accomplishments in climate data mining and machine learning, and Melodia was recognized for […]

Faculty

Dec 07, 2023

2023 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 […]

Faculty

Nov 30, 2023

Developing Cutting-Edge Testing Technology for 5G Open RAN

ECE Principal Research Scientist Pedram Johari is leading a $2M project awarded by the Wireless Innovation Fund to develop a digital framework for testing 5G Open RAN systems called “DigiRAN: High-Fidelity Digital Twins for Interoperability, Security and Performance Testing of Open RAN Systems.” DigiRAN is a digital framework that enables diverse, low-cost, and automated testing of three core components for 5G Open RAN: interoperability, performance, and security.

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