Francesco Restuccia

Assistant Professor,  Electrical and Computer Engineering

Office

  • 617.373.3655

Research Focus

Mobile computing, machine learning, wireless communications, embedded systems

About

Dr. Restuccia’s research is supported by research grants from the National Science Foundation and the Department of Defense. He is the recipient of the 2023 ONR Young Investigator Award, 2023 AFOSR Young Investigator Award, and 2019 Mario Gerla Award in Computer Science, and received Best Paper Awards at IEEE INFOCOM and IEEE WOWMOM. He is a Senior Member of IEEE and ACM.

Education

  • PhD in Computer Science, Missouri S&T, 2016
  • MS in Computer Engineering, University of Pisa, 2011
  • BS in Computer Engineering, University of Pisa, 2009

Honors & Awards

  • 2023 AFOSR Young Investigator Award
  • 2023 ONR Young Investigator Award
  • 2022 IEEE WOWMOM Best Paper Award
  • 2022 IEEE INFOCOM Best Paper Award
  • 2021 Communications of the ACM Research Highlight
  • 2020 ACM SIGMOBILE Research Highlight
  • 2019 Mario Gerla Young Investigator Award

Professional Affiliations

  • IEEE Senior Member
  • ACM Senior Member

Research Overview

Mobile computing, machine learning, wireless communications, embedded systems

Research Centers and Institutes

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

Nov 29, 2023

Protecting Wireless Systems from Adversarial Attacks

ECE William Lincoln Smith Professor Tommaso Melodia, Assistant Professor Francesco Restuccia, and Assistant Research Professor Salvatore D’oro were awarded a patent for “Neural network for adversarial deep learning in wireless systems.”

Francesco Restuccia

Faculty

Sep 25, 2023

Designing New Chips for AI-Enabled Spectrum Perception

ECE Assistant Professor Francesco Restuccia; in collaboration with Arjuna Madanayake from Florida International University, Vishal Saxena from the University of Delaware, and Jia Di from the University of Arkansas; was awarded a $2M NSF grant for “FuSe: Deep Learning and Signal Processing using Silicon Photonics and Digital CMOS Circuits for Ultra-Wideband Spectrum Perception.”

Faculty

Aug 11, 2023

Developing Secure Next-Generation Cellular Networks

ECE Assistant Professor Francesco Restuccia, William Lincoln Smith Professor Tommaso Melodia, and Khoury Associate Professor Alina Oprea were awarded a $900K NSF grant for “Resilient-by-Design Data-Driven NextG Open Radio Access Networks.”

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

Dec 16, 2022

Restuccia Receives AFOSR Young Investigator Award to Advance Future Data Driven Wireless Systems

Francesco Restuccia, assistant professor of electrical and computer engineering (ECE) and member of the Institute for the Wireless Internet of Things and the Roux Institute, has been awarded an Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award to establish the theoretical foundations of next-generation dynamic data driven wireless systems.

Faculty

Nov 02, 2022

2022 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 percent 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 […]

Francesco Restuccia

Faculty

Sep 26, 2022

Restuccia Receives ONR YIP Award for 6G Spectrum Dominance

ECE Assistant Professor Francesco Restuccia was awarded an Office of Naval Research Young Investigator Program Award for “Polymorphic Wireless Computing for Ultra-Wideband 6G Spectrum Dominance.” The project will lay the foundations of a new paradigm named polymorphic wireless computing for 6G wireless systems.

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