Francesco Restuccia

Assistant Professor,  Electrical and Computer Engineering

Contact

Office

  • 617.373.3655

Related Links

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.

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 IEEE Senior Membership
  • 2020 ACM SIGMOBILE Research Highlight
  • 2019 Mario Gerla Award in Computer Science

Professional Affiliations

  • IEEE Senior Member
  • ACM 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

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.”

Faculty

Jun 28, 2022

IEEE WoWMoM 2022 Best Paper Award

ECE postdoc Niloofar Bahadori, Jonathan Ashdown, and Assitant Professor Francesco Restuccia received the IEEE WoWMoM 2022 Best Paper Award for “ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning”.

Faculty

Jun 08, 2022

Making 6G Possible: Time Sharing Demonstrated for the First Time in the Terahertz Band

The Institute for the Wireless Internet of Things has developed methods to move beyond the 5G frequencies into the higher terahertz bandwidths needed for 6G.

Faculty

May 26, 2022

Nature Communications Engineering Paper on Dynamic Spectrum Sharing Above 100 GHz

ECE researchers had their research on “Dynamic Spectrum Sharing between Active and Passive Users Above 100 GHz” published in the first issue of Nature Communications Engineering journal.

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. 

View All Related News