Available Research Topics for XXXIV Cycle (Nov 2018 - Oct 2021)

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: Maurizio Casoni
  • SDN-enable Vehicular Networks
  • Programming of an Application Aware SDN data-plane
• Tutor: Alessandro Chini
  • Characterization of Wide-Band-Gap Semiconductor Power Devices
  • Innovative Architectures for Low-Power Computing and Applications [Cotutors: Paolo Pavan]
• Tutor: Laura Giarrè
  • Multi sensors Localization and navigation for self-driving application
  • Shared control for robotic systems: from pre-planned tasks to autonomous execution [Cotutors: Luigi Biagiotti]
  • Modeling and Control of Automotive Hybrid Systems [Cotutors: Roberto Zanasi]
• Tutor: Luca Pasquali
  • Anisotropic optical and electronic properties of organic thin films for molecular electronics
• Tutor: Luigi Rovati
  • Design and Development of new non-contact screening methods for ocular diseases
  • mHealth: smart sensors, electronics and systems for home-care and well-being [Cotutors: Sonia Bergamaschi]
• Tutor: Luca Selmi
  • Simulation and Characterization of Massively Parallel Electronic Sensing Nano-Devices for the Internet of Things / Internet of Health [Cotutors: Luigi Rovati, Prof. Pierpaolo Palestri]
• Tutor: Luca Vincetti
  • Hollow core optical fibers for industrial applications [Cotutors: F. Benabid – University of Limoges (Fr)]
• Tutor: Giorgio Matteo Vitetta
  • Multiple-input multiple-output radars for automotive applications [Cotutors: Maria Luisa Merani]
  • Bayesian filtering and smoothing, and system identification algorithms: theory and applications to digital communications, localization and navigation.

• Tutor: Domenico Beneventano
  • Data Preparation and Data Enrichment
• Tutor: Sonia Bergamaschi
  • Intelligent Big Data Management and Analysis of Medical Internet devices (mHealth)
  • Pay-as-you go Big Data Integration [Cotutors: Felix Naumann –University of Postdam]
• Tutor: Giacomo Cabri
  • Autonomic computing for Collective adaptive systems
  • Software engineering for industrial software development, verification and validation
• Tutor: Simone Calderara
  • Discovering and debiasing prejudice transfer between data annotation and deep learning models
• Tutor: Rita Cucchiara
  • Visual Intelligence for mobile autonomous robots
  • Human Behavior Understanding by Computer Vision in the Deep Learning Era
  • Computer Vision and Artificial Intelligence for Automotive applications
  • Multimedia Data Learning: Processing, Understanding, Retrieval by new Deep Learning paradigms - Grant by Fondo Sociale Europeo PO 2014-2020 Regione Emilia-Romagna
• Tutor: Costantino Grana
  • Deep learning techniques for skin lesion analysis and automated diagnosis systems
• Tutor: Francesco Guerra
  • Integration of large and open datasets
• Tutor: Riccardo Martoglia
  • Qualitative and quantitative data analysis for effective diffusion, prediction and tweet composition assistance in a Cultural Heritage promotion scenario
  • Approximate querying of (social) graph data
• Tutor: Laura Po
  • Big Data Analytics in a Sustainable Smart City
• Tutor: Marco Villani
  • Dynamical regimes in evolved systems

• Tutor: Sonia Bergamaschi
  • Artificial Conversational Entity (Chatbot) - Grant by QUIX [Cotutors: ing. Andrea Prandini]
• Tutor: Simone Calderara
  • Structured deep learning techniques and application for the future farm - Grant by farm4trade
  • Deep learning deployment in the future farm - Grant by farm4trade [Cotutors: Andrea Capobianco Dondona]
• Tutor: Rita Cucchiara
  • Multimedia and Deep Learning technologies for Video Understanding - Grant by Metaliquid
• Tutor: Laura Giarrè
  • Modeling and Control of Mechatronic Systems [Cotutors: Roberto Zanasi, Luigi Biagiotti]
• Tutor: Luigi Rovati
  • New sensors and electronics for optimal air/gas ratio control for future gas appliances
• Tutor: Luca Vincetti
  • Photonic Technologies for real time monitoring of product quality in manufacturing and agri-food industry [Cotutors: Alessandro Candiani (DNA Phone)]