Francesco Restuccia
Assistant Professor, Electrical and Computer Engineering
Office
- 617.373.3655
Related Links
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
Selected Research Projects
- FuSe: Deep Learning and Signal Processing using Silicon Photonics and Digital CMOS Circuits for Ultra-Wideband Spectrum Perception
- – Principal Investigator, National Science Foundation
- Resilient-by-Design Data-Driven NextG Open Radio Access Networks
- – Principal Investigator, National Science Foundation
- 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
Apr 09, 2024
Advanced Methods in Enforcing Network Slicing Policies
ECE Assistant Research Professor Salvatore D’oro, Assistant Professor Francesco Restuccia, and Professor Tommaso Melodia were awarded a patent for “Methods for the enforcement of network slicing policies in virtualized cellular networks.”
Apr 04, 2024
Transforming Wireless Communication with Deep Learning
ECE William Lincoln Smith Professor Tommaso Melodia and Assistant Professor Francesco Restuccia were awarded a patent for “Deep learning-based polymorphic platform.”
Feb 26, 2024
Northeastern Among Top 100 Universities for Utility Patents
Northeastern University, recognized for its excellence in innovation and entrepreneurship, has once again been named one of the top 100 universities worldwide for securing utility patents by the National Academy of Inventors.
Dec 07, 2023
2023 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% 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 those […]
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.”
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.”
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 $900,000 NSF grant for “Resilient-by-Design Data-Driven NextG Open Radio Access Networks.”
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.”
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.”