Available Research Topics for XXXVII Cycle (Nov 2021 - Oct 2024)

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: Luigi Biagiotti
  • Tasks learning for robotic systems: from programmed operations to autonomous learning and adaptation
• Tutor: Giovanni Franceschini
  • High efficiency electric drives based on Wide Bandgap Devices [Cotutors: Davide Barater]
  • High reliability motor drives for green transportation applications [Cotutors: Davide Barater]
• Tutor: Laura Giarrè
  • Learning and prediction of human road users in traffic scenarios for autonomous driving applications. [Cotutors: Paolo Falcone, Luigi Biagiotti]
• Tutor: Fabrizio Pancaldi
  • Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases [Cotutors: Marco Sebastiani (University of Modena and Reggio Emilia), Michail Zervakis (Technical University of Crete, Greece), Emmanouil Spanakis (Foundation for Research and Technology – Hellas, Greece)]
• Tutor: Francesco Maria Puglisi
  • Neuromorphic Computing Hardware for Low-Power Edge-AI
• Tutor: Luigi Rovati
  • Optoelectronic sensors for biomedical instrumentation: theoretical and experimental studies
• Tutor: Luca Selmi
  • Alternative semiconductor materials and architectures for nanoelectronic devices [Cotutors: Francesco Maria Puglisi, Prof. Paolo Pavan]
• Tutor: Luca Vincetti
  • Hollow-core optical fibers for quantum sensing
• Tutor: Giorgio Matteo Vitetta
  • Tracking of Extended Objects in collocated Multiple-Input Multiple-Output Radar Systems

• Tutor: Domenico Beneventano
  • Privacy-preserving Big Data Integration [Cotutors: Giovanni Simonini]
• Tutor: Sonia Bergamaschi
  • Task-driven Big Data Integration [Cotutors: Giovanni Simonini]
• Tutor: Giacomo Cabri
  • Autonomic computing for collective self-adaptive systems
• Tutor: Simone Calderara
  • Few shot and zero shot continual learning
• Tutor: Rita Cucchiara
  • Trustworthy and Explainable AI models for Multimedia applications [Cotutors: Lorenzo Baraldi, Natalia Díaz-Rodrígue, Inria France]
• Tutor: Costantino Grana
  • 2D and 3D Medical Imaging with Deep Learning Techniques
• Tutor: Francesco Guerra
  • Intelligent Techniques and Natural Language Processing for (Explainable) Data Integration
• Tutor: Riccardo Lancellotti
  • Management techniques for edge computing platforms
• Tutor: Federica Mandreoli
  • Data Analytics and Machine Learning for P4 medicine
• Tutor: Mirco Marchetti
  • Cybersecurity for Cyber-Physical systems
• Tutor: Riccardo Martoglia
  • Qualitative and quantitative data analysis for effective diffusion, prediction and tweet composition assistance in a Cultural Heritage promotion scenario
• Tutor: Laura Po
  • Deep learning for Event Extraction from Web Data Streams
• Tutor: Roberto Vezzani
  • Computer Vision and Artificial Intelligence for Human Robot Interaction
• Tutor: Marco Villani
  • Multi-level organization of complex systems

• Tutor: Luigi Biagiotti
  • Predictive methods for the control of cogeneration plant - Grant by CPL Concordia Soc. Coop [Cotutors: dott. Vaccari Alessio]
• Tutor: Simone Calderara
  • Graph neural networks for structured time series prediction in industrial application - Grant by Ammagamma [Cotutors: Cosimo Fiorini]
  • Graph neural networks for structured data support and analysis - Grant by Ammagamma [Cotutors: Cosimo Fiorini]
  • AI and Deep Learning for the future farming - Grant by Farm 4 Trade s.r.l. [Cotutors: Ercole del Negro]
• Tutor: Luigi Rovati
  • Nanotechnology approaches for advances sensing: design, development and applications [Cotutors: Giorgio Sberveglieri]
• Tutor: Roberto Vezzani
  • 3D Human pose estimation in industrial environments - Grant by DIEF Department [thanks to Toyota Motors Europe]- prof. Vezzani