Tommaso Melodia

William Lincoln Smith Chair 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

  • 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

Selected Publications

  • 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
Kaushik Chowdhury, Tommaso Melodia, and Francesco Restuccia

Faculty

Jul 20, 2021

RFDataFactory: Categorized and Searchable Research Datasets

ECE Professor Kaushik Chowdhury (PI), William Lincoln Smith Chair Professor Tommaso Melodia (co-PI), and Assistant Professor Francesco Restuccia (co-PI) are leading a $1.8M NSF grant, in collaboration with Ashutosh Sabharwal from Rice University, for “RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community.” RFDataFactory aims to make available categorized datasets suitable for research related to machine learning in 5G and beyond networks, and advance fundamental understanding and design tools for accessing, creating, sharing and storing wireless datasets.

Tommaso Melodia

Faculty

Jun 03, 2021

Creating an Ultrasonic Network for Wearable Devices

ECE Professor Tommaso Melodia was awarded a patent for designing an “Ultrasonic network for wearable devices”.

KRI building

Faculty

May 12, 2021

Fostering Innovation through Collaboration

In recent years, the Kostas Research Institute located at the Innovation Campus in Burlington, Massachusetts, added an Expeditionary Cyber & Unmanned Aircraft Systems Lab—the first of its kind in the United States. Ongoing renovations also added 30,000 square feet of entrepreneurial space—the Venture Creation Center, furthering innovation opportunities for engineering faculty, students, and alumni.

student works on wireless rack in data center

Faculty

Apr 16, 2021

Silevitch to Direct New AI Jumpstart Program

ECE Professor Michael Silevitch will lead a new Massachusetts program, AI Jumpstart, to connect small business owners in the state with academic faculty experts to learn how machine learning can grow their companies. Northeastern received a $2.2 million state grant that will be used primarily for high-speed computer equipment and also to provide for faculty consultants, both of which will be available to selected companies to get the pilot effort up and running. Northeastern kicked in an additional $2 million, raising the program’s total value to more than $4 million.

Tommaso Melodia

Faculty

Dec 01, 2020

Using Ultrasonic Signals to Control Biological Devices

ECE Professor Tommaso Melodia was awarded a patent for “Internet-linked ultrasonic network for medical devices.”

Tommaso Melodia

Faculty

Sep 29, 2020

Using Ultrasonic Communication in Implantable Medical Devices

ECE Professor Tommaso Melodia was awarded a patent for creating an “ultrasonic multiplexing network for implantable medical devices”.

Tommaso Melodia and Emrecan Demirors

Faculty

Sep 28, 2020

Network Communications at Acoustical Wavelengths

ECE Professor Tommaso Melodia and ECE Research Assistant Professor Emrecan Demirors were awarded a patent for creating a “Method and apparatus for wireless communications”.

abstract image of digitization

Faculty

Sep 03, 2020

Northeastern’s WIOT to Co-Host First Annual 6G Symposium

Northeastern University’s Institute for the Wireless Internet of Things (WIOT), along with mobile and video technology research and development company InterDigital, is hosting a virtual 6G symposium to create excitement and increase public awareness and engagement in articulating a strong vision for 6G.

Kaushik Chowdhury, Pau Closas, Deniz Erdogmus, Tommaso Melodia, and Yanzhi Wang

Faculty

May 07, 2020

$1M DARPA Grant for Signal Processing in Neural Networks for Wireless IoT

ECE Associate Professor Kaushik Chowdhury, Assistant Professor Pau Closas, Professor Deniz Erdogmus, Professor Tommaso Melodia, and Assistant Professor Yanzhi Wang received $1M funding from DARPA for their project titled Signal Processing in Neural Networks (SPiNN) for Wireless IoT.

abstract cybersecurity graphic

Mar 12, 2020

Cybersecurity: Your Secrets Are Safe With Us

Northeastern researchers are at the forefront of cybersecurity research, protecting everything from the phone in your pocket to the city of the future.

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