Aug 11, 2026
Two paper accepted in IEEE MILCOM 2027.
Shaping the Future of Resilient Distributed Intelligence
Welcome to the Mobile Embedded NeTworked Intelligent Systems laboratory (MENTIS, Latin for "of the mind") website. At MENTIS, we are a team of researchers devoted to continuously disrupting the status quo in artificial intelligence, computer networking and cyber-physical systems.
Principal Investigator:
Francesco Restuccia
Associate Professor of Electrical and Computer Engineering at Northeastern University
Dr. Restuccia’s research reimagines the foundations of resilient distributed intelligence, forging new directions at the convergence of computer networking, artificial intelligence and embedded system design. Dr. Restuccia’s research group is generously supported by a number of projects funded by the National Science Foundation and the Department of Defense.
Dr. Restuccia received the ARO Early Career Award in 2026, the DARPA Young Faculty Award in 2025, the Office of Naval Research Young Investigator Award in 2023, the Air Force Office of Scientific Research Young Investigator Award in 2023, the Mario Gerla Award for Young Investigators in Computer Science in 2019, as well as Best Paper Awards from IEEE INFOCOM 2022, IEEE INFOCOM 2025, IEEE INFOCOM 2026, IEEE WOWMOM 2022 and IEEE WOWMOM 2026. Dr. Restuccia is a Senior Member of IEEE and ACM and has served in the editorial board of Computer Networks, IEEE Transactions on Mobile Computing and IEEE Transactions on Cognitive Communications and Networking.
Learn more about Dr. Restuccia here.
NEWS
Aug 11, 2026
One paper accepted in WACV 2027.
Jan 27, 2026
One paper accepted in IEEE INFOCOM 2026.
Sep 08, 2025
Dr. Restuccia has received the 2025 DARPA Young Faculty Award to research resilient AI/ML.
Jul 26, 2025
Three papers accepted in ACM MobiHoc 2025.
Mar 31, 2025
Our paper on Adversarial MIMO in Wi-Fi has won the IEEE INFOCOM 2025 Best Paper Award.
PROJECTS
CICI: IPAAI: REPAIRT: Securing xApps in Open RANs with Reliable and Principled AI Red-Teaming
DARPA YFA: RADAR: Resource-Aware Dynamic Adaptation for Resilient DNNs in Low-SWaP Tactical Systems
FuSe: Deep Learning and Signal Processing using Silicon Photonics and Digital CMOS Circuits for Ultra-Wideband Spectrum Perception