Available Research Topics for XL Cycle (Nov 2024 - Oct 2027)

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]
• Tutor: Luigi Biagiotti
  • Multimodal Control of Robotic Systems Based on Vocal, Visual, and Force Interaction
• Tutor: Maurizio Casoni
  • SDN and IoT for Industry 5.0 [Cotutors: Carlo Augusto Grazia]
• Tutor: Alessandro Chini
  • Advanced Characterization of Wide-Band-Gap Devices
• Tutor: Giovanni Franceschini
  • Highly efficient motor drives for green transportation applications [Cotutors: Davide Barater]
• Tutor: Carlo Augusto Grazia
  • Towards Autonomous Driving through V2X [Cotutors: Maurizio Casoni]
• Tutor: Maria Luisa Merani
  • Federated Learning for the Protection of Vulnerable Road Users
• Tutor: Stefano Nuzzo
  • Rare-heart free, non-radial flux electrical machines for transport applications [Cotutors: Davide Barater]
• Tutor: Pierpaolo Palestri
  • Modeling and simulation of Gallium Nitride power devices using Monte Carlo transport approaches
• Tutor: Francesco Maria Puglisi
  • Reliability Mechanisms in Advanced CMOS Nodes [Cotutors: Andrea Padovani]
• Tutor: Luigi Rovati
  • Advanced Optical Systems and Vision Science for Enhanced Ophthalmic Diagnostics
• Tutor: Luca Selmi
  • Design of electronic devices and circuits for sustainable IoT components
• Tutor: Giorgio Matteo Vitetta
  • Radar sensing for extended targets

• Tutor: Domenico Beneventano
  • Enhancing Privacy-Preserving Data Integration with Data Fusion and Federated Learning [Cotutors: Julián Salas Piñón]
• Tutor: Nicola Bicocchi
  • Digital Twin Continuum: a Key enabler for Cyber Physical Environments
• Tutor: Simone Calderara
  • Modular Deep Learning, model merging and task arithmetic
• Tutor: Elisa Ficarra
  • Multimodal Integration of text, clinical and molecular data in Digital Pathology
• Tutor: Francesco Guerra
  • Explainable Table and Document understanding for NLI
• Tutor: Riccardo Lancellotti
  • Edge computing platforms for the support of complex applications
• Tutor: Letizia Leonardi
  • Adaptive Middleware for the Internet of Things
• Tutor: Mirco Marchetti
  • Cybersecurity for Cyber-Physical systems
• Tutor: Laura Po
  • Leveraging Large Language Models for Event Extraction and Synthetic Dataset Creation [Cotutors: Federica Rollo, Prof. David Villares]
• Tutor: Giovanni Simonini
  • Hybrid Vector-Relational Query Processing for AI Applications
• Tutor: Roberto Vezzani
  • TinyML and Deep Learning for IoT

• Tutor: Lorenzo Baraldi
  • Multimedia Technologies for Digital Transformation
• Tutor: Davide Barater
  • Power converter architecture for vehicle to grid integration [Cotutors: Giovanni Franceschini]
  • Highly efficient controls of Electric drives for transportation electrification [Cotutors: Stefano Nuzzo]
• Tutor: Sonia Bergamaschi
  • Big Data methodologies for Large Language and Machine Learning Models: Querying and understanding Tables through Machine Learning - Grant by Leonardo SpA [Cotutors: Carlo Cavazzoni, Georgia Koutrika]
• Tutor: Luigi Biagiotti
  • Human-Multi-Robot Interaction: An Application to Upper Limb Rehabilitation
• Tutor: Simone Calderara
  • Federated and continual learning for privacy oriented efficient learning systems with application in industry and healthcare
  • Deep learning for multi modal time series analysis in anomaly detection and predictive maintenance applications
• Tutor: Rita Cucchiara
  • AI and multimodal Foundation models: Analysis, designing, and training of new multimodal architectures for understanding and generation of textual and visual data [Cotutors: Lorenzo Baraldi]
  • Automatic Cataplexy Detection through Video Analysis [Cotutors: Vittorio Cuculo, Prof. Giuseppe Plazzi]
  • Large-Scale Multimodal and Trustworthy Learning for Companies and Public Administration [Cotutors: Marcella Cornia, Enver Sangineto]
• Tutor: Francesco Guerra
  • Development of Large Language Models for Intrinsic Business Value Analysis Based on Multimodal Data - Grant by DM 630/2024, Mission 4, Component 2, Investment 3.3 for research activities at ONE T S.r.l. [Cotutors: Del Buono Francesco]
• Tutor: Laura Leal-Taixe
  • Video dynamic scene understanding [Cotutors: Rita Cucchiara]
  • 4D reconstruction and perception [Cotutors: Rita Cucchiara]
• Tutor: Stefano Nuzzo
  • High Performance Electric Motors for more sustainable transportation systems [Cotutors: Davide Barater]
• Tutor: Andrea Padovani
  • Methodologies for the Study of State-of-The-Art Microelectronics Materials and Devices [Cotutors: Francesco Maria Puglisi]
• Tutor: Luca Selmi
  • Embedded FPGA System for Digital Printing Applications - Grant by Projecta [Cotutors: Ing. Michele Muzzarelli, Prof. Simone Benatti, Prof. Alessandro Bertacchini]