Available Research Topics for XXXVIII Cycle (Nov 2022 - Oct 2025)

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
  • High Performance rare earth free Electric Motors for a sustainable and greener transportation
• Tutor: Alessandro Chini
  • Characterization and modelling of GaN devices for switching application
• Tutor: Giovanni Franceschini
  • Highly efficient motor drives for green transportation applications
• Tutor: Fabrizio Pancaldi
  • Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases
• Tutor: Luca Pasquali
  • Fluoride thin films for 2D electronics
• Tutor: Francesco Maria Puglisi
  • Neuromorphic Computing Hardware for Low-Power Edge-A
• Tutor: Luigi Rovati
  • Optoelectronicmethods and instrumentation for biomedical smart sensors
• Tutor: Luca Selmi
  • Ion-tronic sensors and actuators for the agrifood and neuroscience and sectors [Cotutors: Prof. Pierpaolo Palestri, Ing. Federico Leva, Dr. Ing. J.L. Mele]
  • Nanosecond timescale self-heating effects in advanced FinFET and FDSOI nanoscale MOSFETs [Cotutors: Alessandro Chini]
• Tutor: Luca Vincetti
  • Hollow-core optical fibers for quantum applications
• Tutor: Giorgio Matteo Vitetta
  • Detection and Tracking of the Small Movements of Extended Targets through Mmwave Multiple-Input Multiple-Output Radar Systems

• Tutor: Luigi Biagiotti
  • Extending Robotic Manipulation apabilities by Cooperative Mobile and Flexible Multi-Robot Systems (Co-MiR - Grant by PRIN

• Tutor: Domenico Beneventano
  • Privacy-preserving Big Data Integration [Cotutors: Sonia Bergamaschi]
• Tutor: Sonia Bergamaschi
  • Data Management, analytics and intelligent AI-based knowledge extraction for multilingual and multi-alphabetic heritages
• Tutor: Nicola Bicocchi
  • Software Infrastructures for Smart Cities and Autonomous Systems
• Tutor: Simone Calderara
  • Latent space geometry for incremental knowledge representation
• Tutor: Rita Cucchiara
  • Causal representation learning and modular Artificial Intelligence for human action understanding [Cotutors: Enver Sangineto]
  • Trustworthy self-attentive models for visual-semantic understanding, matching and verification
• Tutor: Elisa Ficarra
  • Deep Learning techniques and multimodal learning in Healthcare
  • Development of deep learning techniques based on Graph Neural Networks for the integration of heterogeneous and multiscale data
• Tutor: Francesco Guerra
  • Natural Language Processing for Explainable Data Analysis and Integration
• 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
  • Graph Data Science and Digital Twin for Urban Mobility Analysis and Planning
• Tutor: Giovanni Simonini
  • Foundational Models for Data Preparation [Cotutors: Sonia Bergamaschi]
• Tutor: Roberto Vezzani
  • Computer Vision and Artificial Intelligence for Human Robot Interaction

• Tutor: Sonia Bergamaschi
  • High Perfomance Data-Integration for AI - Grant by Leonardo
• Tutor: Rita Cucchiara
  • Open World and Few-Shot Object Detection and Semantic Segmentation - Grant by Leonardo

• Tutor: Sonia Bergamaschi
  • Privacy-Preserving Record Linkage for E-Health - Grant by MUR/DM351 and ER [Cotutors: Domenico Beneventano]
• Tutor: Francesco Guerra
  • Data analysis of the criminal and civil trial in order to structure a predictive system of the times of the trial - Grant by MUR/DM351 and Tribunale Modena

• Tutor: Davide Barater
  • Wide-bandgap based Power converters for improved efficiency and reliability - Grant by YESVGAN ECSEL [Cotutors: Giovanni Franceschini]
• Tutor: Rita Cucchiara
  • Cross-modal understanding and generation of Vision and Language content - Grant by PRIN
• Tutor: Giovanni Franceschini
  • High reliable and sustainable Electrical machines for vehicle electrification - Grant by TRANSFORM ECSEL [Cotutors: Davide Barater]
• Tutor: Luigi Rovati
  • Study, design,and realizationof non-invasive sensors for blood analytes usinglow-cost technologies - Grant by Life Elttronica
• Tutor: Luca Vincetti
  • Development of simulation tools for quantum applications of hollow core fibers - Grant by FET open CRYST^3

• Tutor: Davide Barater
  • Design of electric drives for a more sustainable agriculture - Grant by MUR/DM352 and CNH
  • Design of more-electric tractors for a more sustainable agriculture - Grant by MUR/DM352 and CNH
• Tutor: Simone Calderara
  • AI techniques for time series analysis and prediction exploiting structured information - Grant by MUR/DM352 and Ammagamma
  • Novel deep Learning techniques under weakly and uncertain annotation in continuous and batch regime - Grant by MUR/DM352 and Axyon
• Tutor: Rita Cucchiara
  • Document Understanding e Natural Language Processing - Grant by MUR/DM352 and Altilia [Cotutors: Lorenzo Baraldi]
  • Computer Vision technologies for 3D Vehicle digitization and understanding - Grant by MUR/DM352 and Prometeia [Cotutors: Lorenzo Baraldi]
  • Advances in (Self-attentive and semi-supervised) AI Architectures for large scale, explainable Image Retrieval - Grant by MUR/DM352 and Leonardo
• Tutor: Elisa Ficarra
  • Studying host-pathogen interaction via microscopy and Deep Learning: application to antimicrobial resistant bacteria and monoclonal antibodies discovery - Grant by MUR/DM352 and Toscana Life Science
• Tutor: Giovanni Franceschini
  • Novel high performance electric motors by means of additive manufacturing and innovative materials - Grant by MUR/DM352 and RAWPower
  • Power converters for improved efficiency and reliability of electric vehicles - Grant by MUR/DM352 and HPE COXA
• Tutor: Costantino Grana
  • tbd - Grant by MUR/DM352 and Miliaris
• Tutor: Giorgio Matteo Vitetta
  • Use of LoRaWAN and ultrawideband technologies for precise localization applications - Grant by MUR/DM352 and Embit [Cotutors: Maria Luisa Merani]

• Tutor: Sonia Bergamaschi
  • Big Data per processi industriali sostenibili - Position reserved to company employee of Datariver
• Tutor: Alessandro Chini
  • Caratterizzazione e simulazioni TCAD di dispositivi di potenza in nitruro di gallio - Position reserved to company employee of STM
• Tutor: Rita Cucchiara
  • tbd - Position reserved to company employee of DataLogic
  • Deep Learning for Natural Language Processing and Document Understanding - Position reserved to company employee of Altilia
  • AI in Fintech: Semi-supervised Learning for Transactional Time Series and Financtial Data - Position reserved to company employee of Prometeia Associazione [Cotutors: Enver Sangineto]
• Tutor: Luca Vincetti
  • Antennas, ElectroMagnetic Compatibility (EMC) and electromagnetic simulations - Position reserved to company employee of Embit