Francesco Restuccia

Assistant Professor,  Electrical and Computer Engineering

Contact

Office

  • 617.373.3655

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Research Focus

Next-generation wireless communications, artificial intelligence, embedded systems, wireless security

About

Dr. Restuccia’s research interests are the design and experimental evaluation of next-generation wireless systems. His technical expertise includes (i) embedded system design and implementation; (ii) machine learning algorithms and frameworks; (iii) wireless communication standards and architectures; (iv) software-defined radio design and development.

 

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

Next-generation wireless communications, artificial intelligence, embedded systems, wireless security

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

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.

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

Sep 16, 2022

Designing the Next Generation of AI-Driven Dynamic Spectrum Access Systems

ECE Assistant Professor Francesco Restuccia, in collaboration with Embry-Riddle Aeronautical University (lead) and Florida International University, was awarded a $750K NSF grant for “SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning.” The project will demonstrate a system for spectral situational awareness through radio frequency machine learning.

Faculty

Jul 07, 2022

Rethinking Radio Frequency Integrated Circuits Optimization for the Internet of Things

ECE Assistant Professor Francesco Restuccia and Associate Professor Marvin Onabajo were awarded a $600K NSF grant for “Self-Adaptive Interference-Avoiding Wireless Receiver Hardware through Real-Time Learning-Based Automatic Optimization of Power-Efficient Integrated Circuits.”

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