Available Research Topics for XLI Cycle (Nov 2025 - Oct 2028)

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
  • Development of a Mobile Collaborative Robotic Assistant
• Tutor: Alessandro Chini
  • Advanced Characterization of Power Devices
• Tutor: Stefano Nuzzo
  • Rare-heart free, non-radial flux electrical machines for transport applications [Cotutors: Davide Barater]
• Tutor: Pierpaolo Palestri
  • Alternative architectures and materials for nanoelectronic devices [Cotutors: Luca Selmi]
• Tutor: Francesco Maria Puglisi
  • Reliability Mechanisms in Advanced CMOS Nodes [Cotutors: Andrea Padovani]
• Tutor: Luigi Rovati
  • Development of head-mounted technologies and approaches for eye tracking: research and applications [Cotutors: Agostino Gibaldi]
  • Advanced Optical Systems and Vision Science for Enhanced Ophthalmic Diagnostics
• Tutor: Luca Selmi
  • Label free biosensing with nano-electronic devices and circuits [Cotutors: Ing. Jacopo Nicolini]
• Tutor: Giorgio Matteo Vitetta
  • High-mobility target tracking in distributed ISAC systems [Cotutors: Pasquale Di Viesti]
• Tutor: Nicolò Zagni
  • Advanced modelling of novel semiconductor devices

• Tutor: Lorenzo Baraldi
  • Design and training of new multimodal and retrieval-augmented architectures for understanding and generation of textual and visual data
• Tutor: Simone Calderara
  • Modular Deep Learning, model merging and task arithmetic [Cotutors: Angelo Porrello]
• Tutor: Elisa Ficarra
  • Generative AI and Multimodal Integration of text, clinical and molecular data in Digital Pathology [Cotutors: Simone Calderara]
• Tutor: Daniela Gandolfi
  • Resilient, distributed and continuous biologically inspired AI models for high-efficiency applications [Cotutors: Simone Calderara]
• Tutor: Francesco Guerra
  • Explainable Table and Document understanding for NLI
• Tutor: Riccardo Lancellotti
  • Edge computing platforms for the support of complex applications
• Tutor: Mirco Marchetti
  • Innovating cybersecurity through the application of AI
• Tutor: Giovanni Simonini
  • Improving Contextual Understanding in Agentic RAG through Efficient Data Cleaning and Integration Methodologies
• Tutor: Dario Stabili
  • Cybersecurity for Cyber-Physical systems
• Tutor: Roberto Vezzani
  • TinyML and Deep Learning for IoT

• Tutor: Lorenzo Baraldi
  • Generative AI models for Content Understanding and Generation [Cotutors: Massimo Rossini]
  • Multimedia Technologies for Large-Scale AI
• Tutor: Davide Barater
  • Electric drives for green transportation applications [Cotutors: Stefano Nuzzo]
• Tutor: Luigi Biagiotti
  • Context Aware Shared Autonomy for Robotic Manipulation Tasks
• Tutor: Simone Calderara
  • Deep learning for multi modal time series analysis in anomaly detection and predictive maintenance applications - Grant by Safe spa
• Tutor: Stefano Nuzzo
  • High performance control of electric drives in traction application [Cotutors: Davide Barater]
• Tutor: Andrea Padovani
  • Methodologies for the Study of State-of-The-Art Microelectronics Materials and Devices [Cotutors: Francesco Maria Puglisi]
• Tutor: Angelo Porrello
  • Extending Generative AI Systems with Modularity, Efficiency and Compositionality - Grant by [Cotutors: Simone Calderara, Matteo Boschini]
• Tutor: Luca Selmi
  • Device to Circuit Modelling and simulation of Gallium Nitride power devices based on Monte Carlo methodologies [Cotutors: Pierpaolo Palestri]
• Tutor: Giorgio Matteo Vitetta
  • Radar sensing and tracking for extended targets in smart mobility and next generation industry [Cotutors: Pasquale Di Viesti]