Northeastern University Wireless Networks and Embedded Systems Lab



News

I am on the faculty job market! Please find my CV here.

Biography

I am an Associate Research Scientist with the Department of Electrical and Computer Engineering at Northeastern University in Boston, MA, working with Tommaso Melodia.
I earned my Ph.D. in Computer Science from Missouri University of Science and Technology in December 2016. My PhD advisor was Sajal K. Das.
I received my B.S. and M.S. in Computer Engineering with highest honors from University of Pisa, Italy in 2009 and 2011, respectively. I also held a research position at the National Research Council of Italy, where I worked with Marco Conti. My M.S. advisor was Giuseppe Anastasi.

Research Interests

My research interests are the design and experimental evaluation of next-generation AI-based embedded wireless systems for the Internet of Things (IoT) and 5/6G communications. My technical expertise includes (i) FPGA-level embedded wireless system design; (ii) machine learning algorithms and frameworks; (iii) wireless communication standards and architectures; (iv) software-defined radio design and development.

Publications

Book Chapters

  • J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia and T. Melodia, "Neural Networks for Signal Intelligence: Theory and Practice," Machine Learning for Future Wireless Communications, John Wiley and IEEE, November 2019, ISBN: 9781119562252.

  • F. Restuccia, S. D'Oro, L. Zhang, and T. Melodia, "The Role of Machine Learning and Radio Reconfigurability in the Quest for Wireless Security," Proactive and Dynamic Network Defense, pp. 191-221, Springer, May 2019, ISBN: 9783030105976. [pdf] [bibtex]

Articles in Journals

  • A. Coletta, G. Maselli, M. Piva, D. Silvestri, and F. Restuccia, "My SIM is Leaking My Data: Exposing Self-Login Privacy Breaches in Smartphones," submitted for publication, IEEE Security & Privacy Magazine, 2020. [pdf] [bibtex]

  • S. D'Oro, L. Bonati, F. Restuccia and T. Melodia, "Coordinated 5G Network Slicing: How Constructive Interference Can Boost Network Throughput," submitted for publication, IEEE/ACM Transactions on Networking, 2020. [pdf] [bibtex]

  • K. Sankhe, M. Belgiovine, F. Zhou, L. Angioloni, F. Restuccia, S. D'Oro, T. Melodia, S. Ioannidis, and K. Chowdhury, "No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments," IEEE Transactions on Cognitive Communications and Networking, 2019. [pdf] [bibtex]

  • S. D'Oro, F. Restuccia, and T. Melodia, "Toward Operator-to-Waveform 5G Radio Access Network Slicing," to appear in IEEE Communications Magazine. [pdf] [bibtex]

  • J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia, and T. Melodia, "Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey,", Ad Hoc Networks, Volume 93, October 2019. [pdf] [bibtex]

  • L. Zhang, F. Restuccia, T. Melodia, and S. Pudlewski, "Taming Cross-Layer Attacks in Wireless Networks: A Bayesian Learning Approach," IEEE Transactions on Mobile Computing, Vol. 18, No. 7, July 2019. [pdf] [bibtex]

  • S. D'Oro, F. Restuccia, T. Melodia, and S. Palazzo, "Low-Complexity Distributed Radio Access Network Slicing: Algorithms and Experimental Results," IEEE/ACM Transactions on Networking,, Vol. 26, No. 6, December 2018. [pdf] [bibtex]

  • F. Restuccia, P. Ferraro, S. Silvestri, S.K. Das, and G. Lo Re, "IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility," IEEE Transactions on Mobile Computing, Vol. 18, No. 7, July 2019. [pdf] [bibtex]

  • F. Restuccia, P. Ferraro, T.S. Sanders, S. Silvestri, S.K. Das, and G. Lo Re, "FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems," ACM Transactions on Sensor Networks, Volume 15, Issue 1, January 2019. [pdf] [bibtex]

  • F. Restuccia, S. D'Oro, and T. Melodia, "Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking," to appear, IEEE Internet of Things Journal, Vol. 5, Is. 6, December 2018. [pdf] [bibtex]

  • F. Restuccia, N. Ghosh, S. Bhattacharjee, S.K. Das, and T. Melodia, "Quality of Information in Mobile Crowdsensing: Survey and Research Challenges," ACM Transactions on Sensor Networks, Vol. 13, Is. 4, No. 34, December 2017. [pdf] [bibtex]

  • F. Restuccia, S.K. Das, and J. Payton, "Incentive Mechanisms in Participatory Sensing: Survey and Research Challenges," ACM Transactions on Sensor Networks, Vol. 12, Is. 2, No. 13, February 2016. [pdf] [bibtex]

  • F. Restuccia and S. K. Das, "Optimizing the Lifetime with QoS of Sensor Networks with Uncontrollable Mobile Sinks," ACM Transactions on Sensor Networks, Vol. 12, Is. 1, No. 2, March 2016. [pdf] [bibtex]

  • D. De Guglielmo, F. Restuccia, G. Anastasi, M. Conti, and S.K. Das, "Accurate and Efficient Modeling of 802.15.4 Unslotted CSMA/CA through Event Chains Computation," IEEE Transactions on Mobile Computing, Vol. 15, No. 12, 2016. [pdf] [bibtex]

  • F. Restuccia, G. Anastasi, M. Conti, S. K. Das, "Analysis and Optimization of Protocol for Mobile Element Discovery in Sensor Networks," IEEE Transactions on Mobile Computing, Vol. 13, No. 9, 2014. [pdf] [bibtex]

Articles in Conference Proceedings

  • F. Restuccia and T. Melodia, "DeepWiERL: Bringing Deep Reinforcement Learning to the Internet of Self-Adaptive Things," to appear in Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Beijing, China, April 2020. [pdf] [bibtex]

  • A. Al-Shawabka, F. Restuccia, S. D'Oro, T. Jian, B. Costa Rendon, N. Soltani, J. Dy, K. Chowdhury, S. Ioannidis and T. Melodia, "Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting," to appear in Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Beijing, China, April 2020. [pdf] [bibtex]

  • R. Guida, N. Dave, F. Restuccia, E. Demirors and T. Melodia, "U-Verse: A Miniaturized Platform for End-to-End Closed-Loop Implantable Internet of Medical Things Systems", in Proceedings of ACM Conference on Embedded Networked Sensor Systems (ACM SenSys), New York, NY, 2019. [pdf] [bibtex]

  • M. Polese, F. Restuccia, A. Gosain, J. M. Jornet, S Bhardwaj, V. Ariyarathna, S. Mandal, K. Zheng, A. Dhananjay, M. Mezzavilla, J. Buckwalter, M. Rodwell, X. Wang, M. Zorzi, A. Madanayake and T. Melodia, "MillimeTera: Toward A Large-Scale Open-Source mmWave and Terahertz Experimental Testbed," in Proceedings of ACM Workshop on Millimeter-Wave Networks and Sensing Systems (mmNets), ACM MobiCom, Los Cabos, Mexico, Oct. 2019. [pdf] [bibtex]

  • K. Sankhe, F. Restuccia, S. D'Oro, T. Jian, Z. Wang, A. Al-Shawabka, J. Dy, T. Melodia, S. Ioannidis, and K. Chowdhury, "Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections," in Proceedings of IEEE/AFCEA Military Communications Conference (MILCOM), Norfolk, VA, November 12-14, 2019. [pdf] [bibtex]

  • F. Restuccia, S. D'Oro, A. Al-Shawabka, M. Belgiovine, L. Angioloni, S. Ioannidis, K. Chowdhury and T. Melodia, "DeepRadioID: Real-Time Channel-Resistent Optimization of Deep Learning-based Radio Fingerprinting Algorithms," Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), Catania, Italy, July 2019. [pdf] [bibtex]

  • L. Zhang, F. Restuccia, T. Melodia and S.M. Pudlewski, "Jam Sessions: Analysis and Experimental Evaluation of Advanced Jamming Attacks in MIMO Networks," Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), Catania, Italy, July 2019. [pdf] [bibtex]

  • F. Restuccia and T. Melodia, "Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop," Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Paris, France, May 2019. [pdf] [bibtex]

  • S. D'Oro, F. Restuccia, A. Talamonti, T. Melodia, "The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems," Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Paris, France, May 2019. [pdf] [bibtex]

  • S. D'Oro, F. Restuccia, T. Melodia, "Hiding Data in Plain Sight: Undetectable Wireless Communications Through Pseudo-Noise Asymmetric Shift Keying," Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Paris, France, May 2019. [pdf] [bibtex]

  • F. Restuccia, E. Demirors and T. Melodia, "iSonar: Software-defined Underwater Acoustic Networking for Amphibious Smartphones," in Proceedings of the ACM International Conference on Underwater Networks & Systems (ACM WUWNet), Halifax, Canada, November 2017. [pdf] [bibtex]

  • L. Zhang, F. Restuccia, T. Melodia, and S. Pudlewski, "Learning to Detect and Mitigate Cross-layer Attacks in Wireless Networks: Framework and Applications," Proceedings of the IEEE Conference on Communications and Network Security (IEEE CNS), Las Vegas, NV, USA, Oct. 2017. [pdf] [bibtex]

  • F. Restuccia and S. K. Das, "Lifetime Optimization with QoS of Sensor Networks with Uncontrollable Mobile Sinks," Proceedings of the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (IEEE WoWMoM), Boston, MA, USA, June 2015 (Acceptance Rate 19.3%). [pdf] [bibtex]

  • F. Restuccia, A. Saracino, S. K. Das, and F. Martinelli, "Preserving QoI in Participatory Sensing by Tackling Location-spoofing Attacks through Mobile WiFi Hotspots," Proceedings of the IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom), IQ2S Workshop, St. Louis, MO, USA, March 2015. [pdf] [bibtex]

  • F. Restuccia and S. K. Das, "FIDES: A Trust-based Framework for Secure User Incentivization in Participatory Sensing," Proceedings of the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (IEEE WoWMoM), Sydney, NSW, Australia, June 2014 (Acceptance Rate: 20.17%). [pdf] [bibtex]

  • F. Restuccia, G. Anastasi, M. Conti, S. K. Das, "Performance Analysis of a Hierarchical Discovery Protocol for WSNs with Mobile Elements," Proceedings of the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (IEEE WoWMoM), San Francesco, CA, USA, June 2012 (Acceptance Rate: 19.45%). [pdf] [bibtex]

  • K. Kondepu, F. Restuccia, G. Anastasi, M. Conti, "A Hybrid and Flexible Discovery Algorithm for WSNs with Mobile Elements," Proceedings of the IEEE International Symposium on Computers and Communications (IEEE ISCC), Cappadocia, Turkey, June 2012. [pdf] [bibtex]

Service

Teaching

  • EECE 5698 - Wireless Sensor Networks and the Internet of Things (Spring 2018, for graduate students)

Links