Francesco Restuccia
Assistant Professor, Electrical and Computer Engineering
Contact
- f.restuccia@northeastern.edu
- 100 Fore Street
Level 1 (The Roux Institute)
Portland, ME 04101
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. 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
Selected Research Projects
- Assured Wireless Operations Through Dynamic Data-Driven Open Radio Access Systems
- – Principal Investigator, Air Force Office of Scientific Research
- Polymorphic Wireless Computing for Ultra-Wideband 6G Spectrum Dominance
- – Principal Investigator, Office of Naval Research
- Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning
- – Principal Investigator, National Science Foundation
- Self-Adaptive Interference-Avoiding Wireless Receiver Hardware through Real-Time Learning-Based Automatic Optimization of Power-Efficient Integrated Circuits
- – Principal Investigator, National Science Foundation
- A Software-Defined Edge Infrastructure Testbed for Full-stack Data-Driven Wireless Network Applications
- – Principal Investigator, National Science Foundation
- RINGS: Internet of Things Resilience through Spectrum-Agile Circuits, Learning-Based Communications and Thermal Hardware Security
- – co-Principal Investigator, National Science Foundation
- Collaborative Research: NeTS: Small: Reliable Task Offloading in Mobile Autonomous Systems Through Semantic MU-MIMO Control
- – PI, National Science Foundation
- Collaborative Research: CCRI: New: RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community
- – co-PI, National Science Foundation
Research Centers and Institutes
Department Research Areas
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
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.”
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 […]
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.”
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.”
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.
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 […]
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.
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.
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.
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.”