Available Research Topics for XXXVI Cycle (Nov 2020 - Oct 2023)

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
  • Shared control for robotic systems: from pre-planned tasks to autonomous execution [Cotutors: Laura Giarrè]
• Tutor: Paolo Falcone
  • Motion planning and control with safety guarantees for autonomous driving applications [Cotutors: Luigi Biagiotti]
• Tutor: Giovanni Franceschini
  • 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]
• 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
  • Material-to-Device Modeling for Emerging Technologies
• Tutor: Luigi Rovati
  • Advance Optical Methods and technologies for Non-invasive Ophthalmic Instrumentation
• Tutor: Luca Selmi
  • Alternative semiconductor materials and architectures for nanoelectronic devices [Cotutors: Francesco Maria Puglisi, Prof. Paolo Pavan]
• Tutor: Giorgio Matteo Vitetta
  • Tracking of Extended Objects in Multiple-Input Multiple-Output Radar Systems

• Tutor: Domenico Beneventano
  • Pay-as-you go Big Data Integration [Cotutors: Sonia Bergamaschi, Felix Naumann –University of Postdam]
• 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 learning in lifelong scenarios
• Tutor: Michele Colajanni
  • Novel methodologies for the cyber security of the future
• Tutor: Rita Cucchiara
  • Explainable AI in Human AI Interaction [Cotutors: Natalia Díaz-Rodrígue, Inria France]
• Tutor: Francesco Guerra
  • Machine Learning techniques for Databases [Cotutors: Matteo Interlandi (Microsoft)]
• Tutor: Letizia Leonardi
  • Adaptive Middleware for the Internet of Things [Cotutors: Giacomo Cabri, Prof. Franco Zambonelli (DISMI)]
• Tutor: Federica Mandreoli
  • Data Analytics and Machine Learning for P4 medicine
• 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
  • Mobility Data Modelling and Mining for Smart Cities
• Tutor: Roberto Vezzani
  • Computer Vision and Artificial Intelligence for Collaborative Robotic Environments
• Tutor: Marco Villani
  • Multi-level organization of complex systems

• Tutor: Sonia Bergamaschi
  • Artificial Conversational Entity (Chatbot) [Cotutors: ing. Andrea Prandini, dott. Riccardo Martoglia]
• Tutor: Rita Cucchiara
  • Deep Learning and 3D Computer Vision for Fashion industry
• Tutor: Giovanni Franceschini
  • High Efficiency Power Converters based on Wide Bandgap Devices [Cotutors: Andrea Stefano Crinto]
  • High Dynamic full digital control of IPM motors based on magnetic models [Cotutors: Andrea Stefano Crinto]
• Tutor: Francesco Guerra
  • Development, implementation and testing of techniques based on time series and data mining to environmental, hydrological and hydraulic data - Grant by Bacino Distrettuale del fiume Po [Cotutors: dr. ing. Silvano Pecora]
• Tutor: Laura Po
  • Interactive Visualisation Techniques for Complex Data
• Tutor: Luca Selmi
  • Iontronic actuators and nanowire devices for neuron activity stimulation and sensing [Cotutors: Prof. Pierpaolo Palestri, Ing. Denis Brandalise, Ing. J.L. Mele]
• Tutor: Roberto Vezzani
  • Time series analysis for anomaly detection and predictive maintenance in industrial applications - Position reserved to company employee of Posto riservato per dottorato industriale per dipendente Expert Lab
• Tutor: Giorgio Matteo Vitetta
  • Multiple-input multiple-output radars for automotive applications