Available Research Topics for XXXIX Cycle (Nov 2023 - Oct 2026)

This page lists all the topics currently under research in the ICT school, divided in areas

Note that the topics are in alphabetical order (by tutor surname).

• Tutor: Davide Barater
  • Electrical drives for Multi-Harmonic Power Injection Strategies [Cotutors: Stefano Nuzzo, Chris Gerada (The University of Nottingham UK)]
• Tutor: Luigi Biagiotti
  • Tasks learning for robotic systems: from programmed operations to autonomous learning and adaptation
• Tutor: Maurizio Casoni
  • Safety of Vulnerable Road Users [Cotutors: Maria Luisa Merani]
• Tutor: Giovanni Franceschini
  • Highly efficient motor drives for green transportation applications [Cotutors: Davide Barater]
• Tutor: Laura Giarrè
  • Autonomous Safe Driving in crowded environment [Cotutors: Prof. Marcello Farina]
• Tutor: Carlo Augusto Grazia
  • Towards Autonomous Driving through V2X [Cotutors: Maurizio Casoni]
• Tutor: Maria Luisa Merani
  • Vehicular Communications in 6G
• Tutor: Stefano Nuzzo
  • Rare-heart free, non-radial flux electrical machines for direct drive transport applications [Cotutors: Davide Barater, Chris Gerada (The University of Nottingham UK)]
• Tutor: Fabrizio Pancaldi
  • Signal processing and machine learning for the diagnosis of interstitial lung diseases from pulmonary sounds [Cotutors: Marco Sebastiani (University of Modena and Reggio Emilia)]
• Tutor: Francesco Maria Puglisi
  • Reliability Mechanisms in Dielectrics for Advanced CMOS Nodes
• Tutor: Luigi Rovati
  • Development of nanostructured non-perturbing detectors of ultra-diluted ion beams for deterministic ion implantation [Cotutors: Dr. Francesco Rossella (FIM)]
• Tutor: Luca Selmi
  • Development of hardware platforms and simulation tools for label free biosensing based on micro- and nano-electronic devices and circuits [Cotutors: Ing. Daniele Goldoni]
• Tutor: Luca Vincetti
  • Hollow-core optical fibers for quantum applications
  • Hollow-core optical waveguides and fibers for linear accelerators
• Tutor: Giorgio Matteo Vitetta
  • Radar sensing in industrial vehicles for smart agriculture

• Tutor: Maria Luisa Merani
  • Next Generation of Connected Vehicles

• Tutor: Domenico Beneventano
  • Knowledge Graphs and Distributed Machine Learning Techniques to Manage the Data Lake of multilingual and multi-alphabetic heritages [Cotutors: dott. Riccardo Martoglia (DataRiver)]
• Tutor: Sonia Bergamaschi
  • Exploring the Potential of Large Language Models for Multilingual Historical Document Analysis and Semantic Cataloguing in Digital Libraries [Cotutors: dott. Riccardo Martoglia (DataRiver)]
• Tutor: Simone Calderara
  • Resilient continual learning with attention based architectures [Cotutors: Concetto Spampinato University of Catania ]
• Tutor: Rita Cucchiara
  • Computer Vision and Natural Language Processing Technologies for Analysis and Understanding of Cultural and Historical Archives
  • Trustworthy self-attentive models for visual-semantic understanding, matching and verification
• Tutor: Elisa Ficarra
  • Multimodal integration for molecular and imaging data
  • Deep Learning techniques and multimodal learning in Biomedical Sciences and Medical Robotics
• Tutor: Francesco Guerra
  • Natural Language Processing for Explainable Data Analysis and Integration
• Tutor: Riccardo Lancellotti
  • Edge and Cloud computing solutions for detecting and evading attacks against ad-hoc vehicular networks
• Tutor: Letizia Leonardi
  • Adaptive Middleware for the Internet of Things
• Tutor: Mirco Marchetti
  • Cybersecurity for Cyber-Physical systems
• Tutor: Laura Po
  • Enhancing Elderly Care and Well-being through Integrated Data Analytics and Digital Twin Technology
• Tutor: Giovanni Simonini
  • Foundation Model for Data Preparation [Cotutors: Sonia Bergamaschi, Prof. Paolo Papotti (EURECOM)]
• Tutor: Roberto Vezzani
  • Computer Vision and IoT for Human Robot Interaction

• Tutor: Rita Cucchiara
  • Human-AI Robot Interaction in Indoor Environments - Grant by

• Tutor: Davide Barater
  • Wide-bandgap based Power converters for improved efficiency and reliability in Automotive [Cotutors: Giovanni Franceschini]
  • Power converter architecture for multi-source, fault-tolerant multiphase machine drives [Cotutors: Giovanni Franceschini]
• Tutor: Simone Calderara
  • Efficient training of Deep Learning architecture for industry
  • Resilient continual learning with attention based architectures
• Tutor: Giovanni Franceschini
  • Diagnosis and Control of IPM Motors based on quantum sensors [Cotutors: Davide Barater]
• Tutor: Francesco Guerra
  • Integrating NLP and Data-driven Techniques for Intelligent text analytics
• Tutor: Luigi Rovati
  • Innovative sensor development for biomedical applications
• Tutor: Federico Tramarin
  • AI-IoT monitoring system based on a collaborative sensor platform for quality monitoring along the food production chain [Cotutors: Dr. Veronica Sberveglieri]
• Tutor: Roberto Vezzani
  • Deep Learning for the localization of audio-visual sources

• Tutor: Alessandro Chini
  • Wide-bandgap based devices for efficient power conversion - Grant by [Cotutors: Giovanni Franceschini, Barater Davide]

• Tutor: Davide Barater
  • More-electric tractors for a more sustainable agriculture [Cotutors: Stefano Fiorati (CNH INDUSTRIAL ITALIA S.P.A.)]
• Tutor: Luigi Biagiotti
  • Control algorithms for autonomous off-road navigation of heavy, multi-axle wheeled vehicles in varying- and high-slope environments (flat and rolling) [Cotutors: Paolo Falcone, Marianna Vivolo (Iveco Defense Vehicles) ]
• Tutor: Simone Calderara
  • Continual Knowledge transfer across different deep learning architectural paradigms [Cotutors: Francesco Solera (Deep Vision Consulting)]
  • Supervised and self supervised AI and deep learning for animal analysis [Cotutors: Andrea Capobianco Farm4Trade srl]
  • Continual Supervised and self supervised Learning applied to image and video analysis [Cotutors: Alessandro Nicolosi (Leonardo)]
  • Continual Federated Learning for industry [Cotutors: Mattia Verasani Tetrapak]
• Tutor: Andrea Padovani
  • Methodologies for the Study of State-of-The-Art Microelectronics Materials and Devices [Cotutors: Francesco Maria Puglisi, Luca Larcher]
• Tutor: Giovanni Simonini
  • Scalable HPC Data Integration for Very Large Heterogeneous Data Sources [Cotutors: Sonia Bergamaschi, dott. Carlo Cavazzoni (Leonardo)]
• Tutor: Giorgio Matteo Vitetta
  • Use of LoRaWAN and ultrawideband technologies for precise localization applications [Cotutors: Ing. Fabio Bonizzi]

• Tutor: Domenico Beneventano
  • High Performance Computing and New Industries: Analysis of Application Areas and Effects on Regional Supply Chains [Cotutors: Sonia Bergamaschi]
• Tutor: Francesco Guerra
  • Integrating NLP and Data-driven Techniques for Intelligent text analytics
• Tutor: Giovanni Simonini
  • Leveraging High-Performance Computing for enhancing Data Quality in AI Training [Cotutors: Sonia Bergamaschi]