Students
Chiara Albisani *
Advisor: Andrew D. Bagdanov
Topics: Artificial intelligence, computer vision, image processing
Gabriele Magrini
Advisor: Pietro Pala
Topics: Artificial intelligence, computer vision (vincolata LEONARDO spa)
Mojtaba Taherkhani
Advisor: Cosimo Antonio Prete
Topics: Multi-agent deep learning, medical imaging, and time series analysis
*Pegaso fellows **Industrial PNRR
Lorenzo Agnolucci *
Advisor: Marco Bertini
Topics: Improving visual quality of videos and images with deep learning
Leonardo Bacciottini
Advisor: Giuseppe Anastasi
Topics: Quantum Internet protocols and technologies.
Filippo Costanti
Advisor: Monica Bianchini
Topics: Siamese neural networks for the alignment of Coronavirus protein sequences
Guido Gagliardi *
Advisor: Mario Cimino
Topics: Affective Computing and eXplainable Artificial Intelligence
Giada Simionato
Advisor: Gigliola Vaglini
Topics: Artificial Intelligence and Machine Learning for Swarm Robotics and Multi-Agent Systems
*Pegaso fellows **Industrial PNRR
Antonio L. Alfeo * (PhD 2019)
Advisors: Gigliola Vaglini, Mario Cimino
Thesis: Using computational stigmergy for swarm- based data sensing and analysis: from samples to intelligent agents
Matteo Barbetti
Advisor: Lucio Anderlini
Topics: Smart Computing Techniques applied to Medical Physics, Nuclear Physics and Particle Physics.
Marco Barsacchi * (PhD 2019)
Advisors: Gigliola Vaglini, Beatrice Lazzerini, Alessio Bechini
Thesis: Fuzzy Methods for Machine Learning. A big data perspective
Alessandro Betti (PhD 2020)
Advisor: Marco Gori
Thesis: A Variational Framework for Laws of Learning
Marco Biagi * (PhD 2019)
Advisor: Enrico Vicario
Thesis: New methods for quantitative evaluation of Markov regenerative models
Alessandro Bondielli
Advisor: Francesco Marcelloni
Topics: Rumour Detection, Fake News Verification and Sentiment Analysis on Social Media Platforms.
Chiara Caiazza *
Advisor: Alessio Vecchio
Topics: Network Monitoring and Management in the Future Internet
Samuele Capobianco * (PhD 2020)
Advisors: Simone Marinai, Kim Marriott
Thesis: Deep Learning Methods for Document Image Understanding
Lisa Graziani
Advisor: Marco Gori
Topics: Affective features extraction and integration into conversational agents
Hajer Guerdelli
Advisors: Stefano Berretti, Walid Barhoum
Topics: Joint program with Tunis University
Niccolò Iardella * (PhD 2019)
Advisor: Giovanni Stea
Thesis: Design and experimental evaluation of resource allocation algorithms in 4G/5G networks
Gullelala Jadun
Advisors: Maurice ter Beek, Alessio Ferrari
Topics: Model transformation and property preservation in rigorous software development
Farnam Khalili Maybodi
Advisor: Roberto Giorgi
Topics: Developing scalable and adaptive computing architectures for applications such as Cyber Physical and Artificial Intelligence Systems with focus on reconfigurability and energy efficiency
Abdullah Khan
Advisors: Beatrice Lazzerini, Luciano Serafini
Topics: Event Detection in Soccer Videos
My Kieu
Advisor: Andrew D. Bagdanov
Topics: Convolutional Neural Networks for identification problems
Vincenzo Laveglia (PhD 2019)
Advisor: Edmondo Trentin
Thesis: Fuzzy Methods for Machine Learning. A big data perspective.
Tommaso Levato (PhD 2020)
Advisor: Marco Sciandrone
Thesis: Algorithms for l_0-Norm Optimization Problems
Giuseppe Marra * (PhD 2020)
Advisor: Marco Gori
Thesis: Bridging Symbolic and Subsymbolic Reasoning with MiniMax Entropy Models.
Stefano Martina (PhD 2020)
Advisor: Paolo Frasconi
Thesis: Classification of Cancer Pathology Reports with Deep Learning Methods
Domenico Minici *
Advisor: Marco Avvenuti
Topics: Smart Wearable Systems for Personalized Healthcare
Maurizio Palmieri (PhD 2020)
Advisors: Giuseppe Anastasi, Cinzia Bernardeschi
Thesis: Co-Simulation and Verification of Cyber-Physical Systems Using Logic Models
Carlo Puliafito * (PhD 2020)
Advisors: Giuseppe Anastasi, Enzo Mingozzi
Thesis: Companion Fog Computing: Migrating the Fog Service to Support IoT Device Mobility
Marco Rasori * (PhD 2020)
Advisor: Gianluca Dini
Thesis: Security & Privacy in Smart Cities and Industrial IoT
Riccardo Reali *
Advisor: Enrico Vicario
Topics: Quantitative Analysis and Software Architectures for Manufacturing Districts
Alberto Rossi *
Advisors: Franco Scarselli, Monica Bianchini
Topics: Deep learning for biomedical image analysis
Francesco Santoni *
Advisors: Enrico Vicario, Laura Carnevali
Topics: Quantitative evaluation of stochastic models for Industry 4.0
Alessandro Sestini
Advisor: Andrew D. Bagdanov
Topics: Reinforcement learning applied to video games
Mustafa Toprak *
Advisors: Andrea Passarella, Chiara Boldrini
Topics: Online Social Network Analysis
Mohammad Amin Zadenoori *
Advisors: Paolo Frasconi, Enrico Vicario
Topics: Machine learning methods for quantitative evaluation
Andrea Zugarini
Advisor: Marco Maggini
Topics: Natural language processing with emphasis on the applications of conversational agents