Francesco Restuccia
Orcid: 0000-0002-9498-2302Affiliations:
- Northeastern University, Boston, MA, USA
- Missouri University of Science and Technology, Rolla, MO, USA (former)
According to our database1,
Francesco Restuccia
authored at least 123 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
Comput. Networks, 2025
2024
Evaluating the Impact of Channel Feedback Quantization and Grouping in IEEE 802.11 MIMO Wi-Fi Networks.
IEEE Wirel. Commun. Lett., December, 2024
IEEE Trans. Wirel. Commun., November, 2024
Sensing in Bistatic ISAC Systems With Clock Asynchronism: A signal processing perspective [Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution].
IEEE Signal Process. Mag., September, 2024
SEM-O-RAN: Semantic O-RAN Slicing for Mobile Edge Offloading of Computer Vision Tasks.
IEEE Trans. Mob. Comput., July, 2024
Sub-6-GHz Energy-Detection-Based Fast On-Chip Analog Spectrum Sensing With Learning-Driven Signal Classification.
IEEE Internet Things J., July, 2024
Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges.
CoRR, 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges.
CoRR, 2024
SDR-LoRa, an open-source, full-fledged implementation of LoRa on Software-Defined-Radios: Design and potential exploitation.
Comput. Networks, 2024
Comput. Networks, 2024
Proceedings of the 20th International Conference on Wireless and Mobile Computing, 2024
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024
A Digitally Reconfigurable Low-Noise Amplifier with Robust Input Impedance for Machine Learning-Based Receiver Optimizations.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024
ADA: Adversarial Dynamic Test Time Adaptation in Radio Frequency Machine Learning Systems.
Proceedings of the IEEE Military Communications Conference, 2024
Analyzing Power Correlation Distributions for Dynamic Spectrum Awareness in 5G Networks.
Proceedings of the IEEE Military Communications Conference, 2024
HyperAdv: Dynamic Defense Against Adversarial Radio Frequency Machine Learning Systems.
Proceedings of the IEEE Military Communications Conference, 2024
Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching.
Proceedings of the IEEE INFOCOM 2024, 2024
Proceedings of the IEEE INFOCOM 2024, 2024
OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Toward Wireless System and Circuit Co-Design for the Internet of Self-Adaptive Things.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024
2023
IEEE Commun. Mag., July, 2023
SDR-LoRa: dissecting and implementing LoRa on software-defined radios to advance experimental IoT research.
Dataset, January, 2023
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges.
ACM Comput. Surv., 2023
CoRR, 2023
CoRR, 2023
Proceedings of the 26th International Symposium on Wireless Personal Multimedia Communications, 2023
SiMWiSense: Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals.
Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023
Identification of Stealthy Hardware Trojans through On-Chip Temperature Sensing and an Autoencoder-Based Machine Learning Algorithm.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Hercules: An Emulation-Based Framework for Transport Layer Measurements over 5G Wireless Networks.
Proceedings of the 17th ACM Workshop on Wireless Network Testbeds, 2023
Wi-BFI: Extracting the IEEE 802.11 Beamforming Feedback Information from Commercial Wi-Fi Devices.
Proceedings of the 17th ACM Workshop on Wireless Network Testbeds, 2023
Proceedings of the IEEE Military Communications Conference, 2023
Channel-Adaptive Dynamic Neural Networks for Low-Complexity Distributed Signal Awareness.
Proceedings of the IEEE Military Communications Conference, 2023
SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems.
Proceedings of the IEEE INFOCOM 2023, 2023
A<sup>2</sup>-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems.
Proceedings of the IEEE INFOCOM 2023, 2023
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023
2022
CoRR, 2022
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing.
Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection.
Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022
ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning.
Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022
AiEEG: Personalized Seizure Prediction Through Partially-Reconfigurable Deep Neural Networks.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022
Terahertz communications can work in rain and snow: impact of adverse weather conditions on channels at 140 GHz.
Proceedings of the mmNets@MobiCom 2022: Proceedings of the 6th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems, 2022
SDR-LoRa: dissecting and implementing LoRa on software-defined radios to advance experimental IoT research.
Proceedings of the 16th ACM Workshop on Wireless Network Testbeds, 2022
Proceedings of the IEEE Military Communications Conference, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
DeepCSI: Rethinking Wi-Fi Radio Fingerprinting Through MU-MIMO CSI Feedback Deep Learning.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
2021
DeepFIR: Channel-Robust Physical-Layer Deep Learning Through Adaptive Waveform Filtering.
IEEE Trans. Wirel. Commun., 2021
Coordinated 5G Network Slicing: How Constructive Interference Can Boost Network Throughput.
IEEE/ACM Trans. Netw., 2021
Toward Polymorphic Internet of Things Receivers Through Real-Time Waveform-Level Deep Learning.
GetMobile Mob. Comput. Commun., 2021
CoRR, 2021
What is a Blockchain? A Definition to Clarify the Role of the Blockchain in the Internet of Things.
CoRR, 2021
IEEE Commun. Mag., 2021
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021
DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
DeepLoRa: Fingerprinting LoRa Devices at Scale Through Deep Learning and Data Augmentation.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
Proceedings of the 19th Mediterranean Communication and Computer Networking Conference, 2021
DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
SteaLTE: Private 5G Cellular Connectivity as a Service with Full-stack Wireless Steganography.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021
Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021
2020
No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments.
IEEE Trans. Cogn. Commun. Netw., 2020
The Implantable Internet of Medical Things: Toward Lifelong Remote Monitoring and Treatment of Chronic Diseases.
GetMobile Mob. Comput. Commun., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Arena: A 64-antenna SDR-based ceiling grid testing platform for sub-6 GHz 5G-and-Beyond radio spectrum research.
Comput. Networks, 2020
Deep Learning at the Physical Layer: System Challenges and Applications to 5G and Beyond.
IEEE Commun. Mag., 2020
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020
Proceedings of the CryBlock@MOBICOM 2020: Proceedings of the 3rd Workshop on Cryptocurrencies and Blockchains for Distributed Systems, 2020
DeepWiERL: Bringing Deep Reinforcement Learning to the Internet of Self-Adaptive Things.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
2019
FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems.
ACM Trans. Sens. Networks, 2019
IEEE Trans. Mob. Comput., 2019
IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility.
IEEE Trans. Mob. Comput., 2019
Machine learning for wireless communications in the Internet of Things: A comprehensive survey.
Ad Hoc Networks, 2019
U-Verse: a miniaturized platform for end-to-end closed-loop implantable internet of medical things systems.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019
Jam Sessions: Analysis and Experimental Evaluation of Advanced Jamming Attacks in MIMO Networks.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019
MillimeTera: Toward A Large-Scale Open-Source mmWave and Terahertz Experimental Testbed.
Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems, 2019
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections.
Proceedings of the 2019 IEEE Military Communications Conference, 2019
Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Hiding Data in Plain Sight: Undetectable Wireless Communications Through Pseudo-Noise Asymmetric Shift Keying.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019
2018
Low-Complexity Distributed Radio Access Network Slicing: Algorithms and Experimental Results.
IEEE/ACM Trans. Netw., 2018
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking.
IEEE Internet Things J., 2018
CoRR, 2018
Proceedings of the 17th IEEE International Conference On Trust, 2018
2017
ACM Trans. Sens. Networks, 2017
Proceedings of the International Conference on Underwater Networks & Systems, 2017
Learning to detect and mitigate cross-layer attacks in wireless networks: Framework and applications.
Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017
2016
ACM Trans. Sens. Networks, 2016
Optimizing the Lifetime of Sensor Networks with Uncontrollable Mobile Sinks and QoS Constraints.
ACM Trans. Sens. Networks, 2016
Accurate and Efficient Modeling of 802.15.4 Unslotted CSMA/CA through Event Chains Computation.
IEEE Trans. Mob. Comput., 2016
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016
2015
Proceedings of the 16th IEEE International Symposium on A World of Wireless, 2015
Preserving QoI in participatory sensing by tackling location-spoofing through mobile WiFi hotspots.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015
2014
Analysis and Optimization of a Protocol for Mobile Element Discovery in Sensor Networks.
IEEE Trans. Mob. Comput., 2014
FIDES: A trust-based framework for secure user incentivization in participatory sensing.
Proceedings of the Proceeding of IEEE International Symposium on a World of Wireless, 2014
2012
Performance analysis of a hierarchical discovery protocol for WSNs with Mobile Elements.
Proceedings of the 2012 IEEE International Symposium on a World of Wireless, 2012
A hybrid and flexible discovery algorithm for wireless sensor networks with mobile elements.
Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012