Computer Engineer / Researcher

ABOUT

I am a Computer Engineer, Researcher and Student. I love to work with challenging problems, especially in the field of Machine Learning or Signal Processing. I also love Music, Photography and travelling.



EDUCATION

UNIVERSITY OF FLORENCE
Doctor of Philosophy - PhD in Smart Computing
AI Lab
Advisor: Prof. Paolo Frasconi

From Nov 2019
Florence, Italy

UNIVERSITY OF FLORENCE
MEng in Computer Engineering
Vote: 110/110 Magna Cum Laude

Thesis title: "RFMLS: Radio Frequency Machine Learning System"
Thesis supervisors: Stratis Ioannidis, Paolo Frasconi, Andrew D. Bagdanov.

Apr 2019
Florence, Italy

UNIVERSITY OF FLORENCE
BS in Computer Engineering
Vote: 102/110

Thesis title: "Recognition techniques and their application to the control of moving systems through embedded platforms"
Thesis supervisor: Fabrizio Argenti

Nov 2016
Florence, Italy



RESEARCH

UNIVERSITY OF FLORENCE
Researcher

I collaborate with Prof. Paolo Frasconi and Dr. Valentijn Borghuis in the design, training, and evaluation of innovative generative models and algorithms to generate music genre interpolations and other forms of autonomous music production. Generative models are unsupervised learning techniques that allow one to sample data points from a distribution inferred from a training set. Prominent exampes that have received significant attention in recent years include generative adversarial networks and various kinds of autoencoders. The goal of this research project is the application of Wasserstein autoencoders to the generation of MIDI musical patterns starting from proprietary data made available by the contractor Borgflocken B.V.

May 2019 - Oct 2019
Florence, Italy

NORTHEASTERN UNIVERSITY - SPIRAL LAB
Researcher

Worked with Machine Learning and Signal Processing on a DARPA project called RFMLS (Radio Frequency Machine Learning System), in order to identify wireless devices based only on raw RF transmissions with thousands of devices. Designed the Neural Network Architecture used for the identification task and helped develop the signal processing system needed to extract the right features.

Sep 2018 - Jan 2019
Boston, MA, USA

UNIVERSITY OF FLORENCE
Researcher (Research Scholarship)

Worked on the ”Development of compression and denoising algorithms for images from AS-OCT” project, financed by C.S.O. S.r.l. Designed a custom and efficient compression and denoising algorithm specifically for AS-OCT images and implemented it (C++ No Libraries)

Jul 2017 – Mar 2018
Florence, Italy

MAGENTA S.R.L.
University Reaserch Project

Creation and analysis of Map - Reduce functions for Non Relational Databases (NoSQL) (Public traffic database of the city of Florence)

Jan – Mar 2014
Florence, Italy



PUBLICATIONS

DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms

Restuccia, Francesco and D'Oro, Salvatore and Al-Shawabka, Amani and Belgiovine, Mauro and Angioloni, Luca and Ioannidis, Stratis and Chowdhury, Kaushik and Melodia, Tommaso

arXiv preprint arXiv:1904.07623

2019
ACM MobiHoc Conference

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

Sankhe, Kunal and Belgiovine, Mauro and Zhou, Fan and Angioloni, Luca and Restuccia, Francesco and D’Oro, Salvatore and Melodia, Tommaso and Ioannidis, Stratis and Chowdhury, Kaushik

NEU preprint

2019
IEEE TCCN



EXPERIENCE

ARCAMEMORIE
Software Engineer

(Association for the protection of digital memories of individual citizens) Web Application development and digital archiving system. Management of digital inheritance.

Jan - Oct 2017
Florence, Italy

PROJECT ITALIA S.R.L.
IT Consultant

IT, design and implementation of professional audio-video systems, marketing and sales, multimedia content production.

2015 - 2016
Florence, Italy



AWARDS

SSE CHALLENGE (2nd edition)

Awarded 1st in the SSE Challenge Engineering for Industry 4.0

Jun 2018
Florence, Italy