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Senior Systems Engineer

Qualcomm Technologies Inc.

Wireless R&D in 6G NTN.

Visiting Researcher

Massachusetts Institute of Technology

Development of classical and deep machine learning algorithms for localization and sensing networks. Research carried out under Prof. Win’s supervision.

• Bayesian Neural Networks
• Ray-tracing
• 6G
• Autonomous Vehicles

Visiting Research Scientist

European Organization for Nuclear Research

Implementing and testing the network architecture for the Federated Learning in real and physically separated machines located at CERN, Milan, and Athens.

• Federated Learning
• MQTT
• NVIDIA
• Docker

Student Volunteer

IEEE International Conference on Communications (ICC)

Assisted in organizing conference sessions, provided logistical support to speakers, and facilitated participant engagement during one of the leading global forums for communication technologies.

Student Volunteer

Festival della Mente

Supported the organization of the first European festival dedicated to creativity and thought, helping manage sessions and ensuring a smooth experience for speakers and attendees.

PhD

Politecnico di Milano, Milan, Italy

Information Technology

Score: Honors - Cum Laude

• Thesis: Cooperative Machine Learning Methods in Distributed Systems.

Master Degree

Politecnico di Milano, Milan, Italy

Telecommunication Engineering

Score: Honors - 110L, GPA 29.85/30

• Thesis in collaboration with CERN, CNR, and medical school of Athens. Title: Federated learning architectures and algorithms for diagnostic imaging in healthcare networks.

Bachelor Degree

Politecnico di Milano, Milan, Italy

Computer Science Engineering

Score: Honors - 110L, GPA 29.23/30

• Thesis: Final Examination in Communication Systems.

Roberto Rocca Doctoral Fellowship

Progetto Rocca

Funding for 12 months of research at MIT.

PhD grant

Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR)

Awarded a full PhD scholarship for research in Information Technology at Politecnico di Milano. The grant covers tuition, research expenses, and provides a stipend for living costs.

Master’s Degree with Honors

Politecnico di Milano

Awarded the Master’s Degree in Telecommunications Engineering with Honors for academic excellence.

Bachelor’s Degree with Honors

Politecnico di Milano

Awarded the Bachelor's Degree in Computer Science with Honors for outstanding academic performance.

Best Freshman Award

Politecnico di Milano

Recognized as the best freshman of the academic year 2016/2017 for exceptional performance during the first year of studies.

Weighted Consensus Algorithms in Distributed and Federated Learning

IEEE Transactions on Network Science and Engineering (TNSE)

Location Verification in Next-Generation Non-Terrestrial Networks

IEEE Military Communications Conference (MILCOM)

Sidelink-Enabled Cooperative Localization for xG Non-Terrestrial Networks

IEEE Military Communications Conference (MILCOM)

Integration of 5G and GNSS Technologies for Enhanced Positioning: an Experimental Study

IEEE Open Journal of the Communications Society (OJ-COMS)

Multi-agent Reinforcement Learning for Distributed Cooperative Positioning

IEEE Transactions on Intelligent Vehicles (TIV)

Real-time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking

IEEE Journal on Selected Areas in Communications (JSAC)

A Tutorial on 5G Positioning

IEEE Communications Surveys & Tutorials (COMST)

Split Consensus Federated Learning: an Approach for Distributed Training and Inference

IEEE Access

Cooperative Positioning with Multi-Agent Reinforcement Learning

27th IEEE International Conference on Information Fusion (FUSION)

Empowering 6G Positioning and Tracking with Bayesian Neural Networks

IEEE International Conference on Communications (ICC)

On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks

IEEE Conference on Artificial Intelligence

Pedestrian Positioning in Urban Environments with 5G Technology

IEEE 22th Mediterranean Communication and Computer Networking Conference (MedComNet)

Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning

IEEE Transactions on Signal Processing (TSP)

Deep-Learning-Based Radio Map Reconstruction for V2X Communications

IEEE Transactions on Vehicular Technology (TVT)

Cooperative Deep-Learning Positioning in mmWave 5G-Advanced Networks

IEEE Journal on Selected Areas in Communications (JSAC)

5G Positioning: A Feasibility Analysis with Current Network Deployment

Scientific Reports (Nature)

Cooperative LiDAR Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks

IEEE Transactions on Signal Processing (TSP)

Message Passing Neural Network Versus Message Passing Algorithm for Cooperative Positioning

IEEE Transactions on Cognitive Communications and Networking (TCCN)

Implicit Vehicle Positioning with Cooperative LiDAR Sensing

48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

A Traffic Model Based Approach to Parameter Server Design in Federated Learning Processes

IEEE Communications Letters (COMML)

On the Latent Space of mmWave MIMO Channels for NLOS Identification in 5G-Advanced Systems

IEEE Journal on Selected Areas in Communications (JSAC)

Addressing Data Association by Message Passing over Graph Neural Networks

25th IEEE International Conference on Information Fusion (FUSION)

Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation

IEEE Access

TRUSTroke

Trustworthy prediction of stroke outcome on a Federated Learning infrastructure.

• Partners: Fundacio Hospital Universitari Vall D’Hebron, Fondazione Policlinico Universitario Agostino Gemelli-IRCSS, KU Leuven, CERN, Eurecat Technology Centre, Nora Health, Politecnico di Milano, CNR, Stroke Alliance for Europe, and others.
• Budget: 6M €. Call: HORIZON-HLTH-2022-STAYHLTH-01-two-stage.
• Contribution: Analysis of federated algorithms and their optimization.

Technologies: Tensorflow, Fully-distributed Federated Learning, Asynchronous Federated Learning

HYPER-5G

Development of precise positioning engine using multi-constellation GNSS and 5G observations.

• Partners: Geomatics Research & Development srl, algoWatt SpA, and Politecnico di Milano.
• Budget: 500k € funded by ESA’s Navigation Innovation and Support Program (NAVISP).
• Contribution: Design and implementation of 5G positioning system.

Technologies: Matlab, Rohde & Schwarz scanner

CAFEIN-FL

Federated network platform for the development and deployment of AI-based analysis and prediction models.

• Partners: CERN, CNR, Politecnico di Milano, National and Kapodistrian University of Athens.
• Budget: 135k CHF funded by CERN Knowledge Transfer fund.
• Contribution: Creation of the network architecture and proof-of-work implementation of Federated Learning algorithms.

Technologies: Tensorflow, Personalized Federated Learning

Wireless Communication Group Project

Tracking, with adaptive Beamforming, two mobile terminals in presence of one or more interferers.

Technologies: Matlab, Beamforming

Localization, Navigation and Smart Mobility Group Project

Handling a localization problem by formulating the model, implementing a positioning method, and assessing the related performance in Matlab environment.

Technologies: Matlab, Kalman Filter, Localization Problem

IoT Group Project

Designing and implementing a software prototype for a social distancing application using TinyOS and Node-Red, tested with Cooja. The application is meant to alert users when two people (motes) are close to each other.

Technologies: TinyOS, TOSSIM, Wireshark, MQTT, ThingSpeak, Node-Red, IFTTT

Switching and Routing Group Project

Building an application able to react to the failure of a switch (node) using OpenFlow switches and Ryu as a network controller. Implemented both reactive and proactive failure handling methods.

Technologies: Mininet, Ryu-manager, Python, Failure Detection in Rings