Francesco Restuccia

About

My research interests are the design and experimental evaluation of next-generation wireless systems for the Internet of Things (IoT) and 5/6G communications.

My technical expertise includes (i) FPGA-level embedded wireless system design; (ii) machine learning algorithms and frameworks; (iii) wireless communication standards and architectures; (iv) software-defined radio design and development.

I am a member of the Roux Institute and the Institute for the Wireless Internet of Things at Northeastern University.

Selected Publications

• F. Restuccia, T. Melodia, DeepWiERL: Bringing Deep Reinforcement Learning to the Internet of Self-Adaptive Things, Proceedings of IEEE INFOCOM, 2020
• F. Restuccia, T. Melodia, PolymoRF: Polymorphic Wireless Receivers Through Physical-Layer Deep Learning, Proceedings of ACM MobiHoc, October 2020
• S. D’Oro, L. Bonati, F. Restuccia, M. Polese, M. Zorzi, T. Melodia, Sl-EDGE: Network Slicing at the Edge, Proceedings of ACM MobiHoc, October 2020
• S. D’Oro, F. Restuccia, T. Melodia, Toward Operator-to-Waveform 5G Radio Access Network Slicing, IEEE Communications Magazine, 58(4), 2020

Faculty

May 10, 2022

Creating a Wireless Virtual Network Testbed for Adaptive Resource Management

ECE Assistant Professor Francesco Restuccia was awarded a $500K NSF grant for creating “A Software-Defined Edge Infrastructure Testbed for Full-stack Data-Driven Wireless Network Applications.” Researchers will build a wireless virtual network testbed at Saint Louis University, in collaboration with Northeastern University, to evaluate network management solutions that integrate the use of machine learning and artificial intelligence with programmable radios and programmable network switches. 

Faculty

May 04, 2022

WIoT Faculty Win INFOCOM Best Paper Award

ECE Assistant Professor Francesco Restuccia and William L. Smith Professor Tommaso Melodia received the best paper award at the 2022 IEEE International Conference on Computer Communications (IEEE INFOCOM), for their work “ChARM: NextG Spectrum Sharing Through Data-Driven Real-Time O-RAN Dynamic Control”.

Faculty

Apr 20, 2022

$1 Million NSF Award as Part of Resilient and Intelligent Next-Generation Systems Program for Spectrum-Agile IoT Networks

ECE Associate Professor Marvin Onabajo, Professor Yunsi Fei, Assistant Professor Aatmesh Shrivastava, and Assistant Professor Francesco Restuccia were awarded a $1M NSF grant for “RINGS: Internet of Things Resilience through Spectrum-Agile Circuits, Learning-Based Communications and Thermal Hardware Security.”

Faculty

Nov 24, 2021

Using Radio Fingerprinting as an Efficient Authentication Mechanism

William Lincoln Smith Professor Tommaso Melodia, ECE Assistant Professor Francesco Restuccia, and Research Assistant Professor Salvatore D’Oro were awarded a patent for “Real-time channel-resilient optimization of radio fingerprinting.”

Faculty

Nov 04, 2021

Institute of Wireless Internet of Things Part of IARPA Contract

The Institute for the Wireless Internet of Things is participating in an Intelligence Advanced Research Projects Activity (IARPA) contract led by AiRANACULUS®, a Massachusetts-based technology company. The IARPA program is focused on identifying unexpected radio frequency (RF) transmissions to detect attempted data breaches. ECE Professors Kaushik Chowdhury (lead), Tommaso Melodia, and Francesco Restuccia, will work on designing machine learning techniques and support experimental testing for signal analysis and classification.

Faculty

Aug 24, 2021

Using MU-MIMO Controls to Improve Transmission to MAS Edge Servers

ECE Assistant Professor Francesco Restuccia, in collaboration with Marco Levorato from the University of California-Irvine, was awarded a $415K NSF grant for “Reliable Task Offloading in Mobile Autonomous Systems Through Semantic MU-MIMO Control.”

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.

Staff

Nov 22, 2019

Restuccia Wins ISSNAF Mario Gerla Award

ECE Associate Research Scientist Francesco Restuccia was selected by the ISSNAF to receive the 2019 Mario Gerla Award for Young Investigators in Computer Science.

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