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: Davide Barater
  • Design of High efficiency and sustainability oriented electrical machines - Grant by Added Scienetific Ltd [Cotutors: Matteo Giacopini]
• Tutor: Domenico Beneventano
  • Deep learning in real-time on the astrophysical data obtained from the Cerenkov CTA Observatory - Grant by INAF - Osservatorio di Astrofisica e Scienza dello Spazio Bologna [Cotutors: Andrea Bulgarelli (INAF)]
• Tutor: Luigi Biagiotti
  • Methods for a novel collaborative robotics: from programming to human skills transfer - Grant by Ideativa
• Tutor: Giacomo Cabri
  • Smart AI for a Sustainble Industry 4.0 Transition - Grant by [Cotutors: Luca Bedogni]
• Tutor: Giovanni Franceschini
  • High Performance rare earth free Electric Motors for a sustainable and greener agriculture - Grant by Emak Group S.p.A. [Cotutors: Claudio Bianchini]
• Tutor: Riccardo Lancellotti
  • CE4D Cloud and Edge computing for the digitization of communication process - Grant by
• Tutor: Laura Po
  • Big Data Analytics and Digital Twin for Traffic Modelling: Boosting energy saving and emission reduction in Smart Cities - Grant by Wiseair S.r.l.
  • Artificial intelligence techniques to tackle urban air pollution - Grant by Wiseair S.r.l.
• Tutor: Francesco Maria Puglisi
  • Neuromorphic Computing Hardware for Low-Power Edge-AI - Grant by
• Tutor: Luigi Rovati
  • Advanced integrated electronic biosensensors for nanoscale entity detection - Grant by Tecnopolo Marco Veronesi Fondazione Democenter [Cotutors: Luca Selmi]
• Tutor: Giovanni Simonini
  • Data-centric AI, Big Data, Data Integration, Energy data, Process optimization - Grant by Datariver [Cotutors: Sonia Bergamaschi]
• Tutor: Giorgio Matteo Vitetta
  • Vehicle-to-everything (V2X) Communications for Green and Reliable Intelligent Transportation Systems – Comunicazioni veicolari per sistemi di trasporto intelligenti, verdi ed affidabili - Grant by CNH Italia [Cotutors: Maria Luisa Merani]

• Tutor: Luigi Biagiotti
  • Tasks learning for robotic systems: from programmed operations to autonomous learning and adaptation
• Tutor: Giovanni Franceschini
  • High reliability and High efficiency electric 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
  • Smart Sensors based on Nanomaterials for advanced Monitoring and Diagnostics
• 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
  • EMI characterization of power unit conversion stages for E-mobility
• 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
  • Deep learning for Multiple Object Tracking and 3D
• Tutor: Rita Cucchiara
  • Trustworthy self-attentive models for visual-semantic understanding [Cotutors: Lorenzo Baraldi, Natalia Díaz-Rodrígue, Inria France]
  • Integration of vision and language for human-robot interaction
  • Object and People Recognition for Personalized Interaction
• 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: Giovanni Simonini
  • Big Data and Artificial Intelligence for Energetic Virtuosity in Local Energy Communities [Cotutors: Sonia Bergamaschi]
• 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 data support and analysis
  • 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: Costantino Grana
  • Digital Transformation and Machine Learning applied to Public Healthcare
  • Digital Transformation and Machine Learning applied to Public Healthcare
• 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