Francesco Restuccia

Assistant Professor,  Electrical and Computer Engineering

Office

  • 670B EXP
  • 617.373.3655

Research Focus

Resilient and Efficient AI/ML, Mobile Computing, FPGAs, Embedded Systems, Wireless Networking

About

Dr. Restuccia’s research aims at creating new and unconventional pathways to push the performance and resilience of mobile computing and networking beyond what is possible today.

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 2025 DARPA Young Faculty Award, 2023 ONR Young Investigator Award, 2023 AFOSR Young Investigator Award, and 2019 Mario Gerla Award in Computer Science, Søren Buus Outstanding Research Award from the College of Engineering, and received Best Paper Awards at IEEE INFOCOM and IEEE WOWMOM. He is a Senior Member of IEEE and ACM and serves in the TPC and editorial boards of several prestigious journals and conferences.

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

  • 2025 DARPA Young Faculty Award
  • 2025 IEEE INFOCOM Best Paper Award
  • 2025 Søren Buus Outstanding Research Award
  • 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

Resilient and Efficient AI/ML, Mobile Computing, FPGAs, Embedded Systems, Wireless Networking

Selected Research Projects

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

Sep 23, 2025

2025 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.

Francesco Restuccia

Faculty

Sep 09, 2025

Restuccia Receives DARPA Young Faculty Award to Study Resilient AI in Autonomous Systems

ECE Assistant Professor Francesco Restuccia received a Young Faculty Award from the Defense Advanced Research Projects Agency (DARPA) that will provide research funding for “RADAR: Resource-Aware Dynamic Adaptation for Resilient DNNs in Low-SWaP Tactical Systems.”

Faculty

Aug 26, 2025

Patent for a Method to Improve Wireless Communication with AI

ECE Assistant Professor Francesco Restuccia and ECE William Lincoln Smith Professor Tommaso Melodia received a patent for “System for frequency sharing in open radio access networks using artificial intelligence.”

Faculty

Aug 06, 2025

Building the Future of AI-Ready Wireless Testbeds

ECE Assistant Professor Francesco Restuccia and ECE Professor & Associate Dean for Research Josep Jornet, in collaboration with Princeton University, Florida International University, and SUNY Polytechnic Institute, were awarded a $200,000 NSF grant for “DHARMA.AI Digital Hardware + Analog-RF for Multifunctional Apertures with AI.”

Francesco Restuccia

Faculty

Jul 29, 2025

Securing the Next-Generation of AI-Driven Cellular Networks

ECE Assistant Professor Francesco Restuccia, in collaboration with Saint Louis University, was awarded a $900,000 NSF grant for “Securing xApps in Open RANs with Reliable and Principled AI Red-Teaming.”

Francesco Restuccia, a professor of electrical and computer engineering, working in a lab.

Faculty

Mar 13, 2025

AI Tool Could Improve Performance of AR/VR Glasses

ECE Assistant Professor Francesco Restuccia and two PhD students developed an AI tool that helps improve the performance of AR/VR applications, which could lead to less bulky and more esthetic AR/VR glasses.

Faculty

Feb 07, 2025

Patent for AI-Driven Wireless Beam Management

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

Jan 31, 2025

2024 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 who published a paper in 2024 or later.

Faculty

Jan 30, 2025

Faculty and Staff Awards 2025

Faculty and staff were recognized at the 27th Annual College of Engineering Faculty and Staff Awards for their exceptional service and dedication in support of students, the COE community, and the university during the 2024-2025 academic year.

Faculty

Jan 14, 2025

Research Uncovers Wi-Fi Security Vulnerability

ECE Assistant Professor Francesco Restuccia is one of several authors of new research that has uncovered a significant security vulnerability in wireless technology found in nearly every Wi-Fi system. The findings will be presented in May at the IEEE International Conference on Computer Communications (INFOCOM).

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