Our Students

Master's Degree

Mattia Busnelli

Computer Science
email: m.busnelli9-at-campus.unimib.it

About Mattia

Activity performed

  • EMG and respiratory data analyses.

Thesis abstract

Mirko Caglioni

Theory and Technology of Communication
email: m.caglioni2-at-campus.unimib.it

About Mirko

Activity performed

  • Research and study in the field of Motor Imagery based BCIs.
  • EEG experimental paradigm design and development.
  • EEG signal acquisition through wearable devices.

Thesis abstract

The evolution of EEG technologies in the field of BCIs has led to the birth of increasingly sophisticated wearable devices, which allow the collection of electrophysiological data even outside of laboratories, thus in rea-life contexts. Starting from an in-depth analysis of the literature, which shows the processes necessary for the development of an EEG-based BCI, the related techniques of analysis and processing of the acquired data and the application of wearable devices in the field of motor imagery, an experiment is conducted to demonstrate the effectiveness and accuracy of the results of an EEG wearable based BCI system in the areas of motor imagery and speech recognition.

Elisa Cazzaniga

Computer Science
email: e.cazzaniga-at-campus.unimib.it

About Elisa

Activity performed

  • Design and development of an experimental EEG protocol.
  • Acquisition of EEG signals through wearable devices.
  • Study and implementation of machine learning and deep learning models to classify EEG data.

Thesis abstract

BCIs are promising technologies for improving the quality of life of people who have lost the capability to move or speak, by restoring the communication with their environment. In particular, a speech-related BCI provides effective vocal communication strategies for controlling devices through speech commands interpreted from brain signals. An experimental analysis will be carried out for the acquisition of EEG signals through wearable devices, to examine the imagined speech and the motor imagery. Some machine learning and deep learning models will be studied and implemented to classify EEG data.

Anita Guerini

Theory and Technology of Communication
email: a.guerini-at-campus.unimib.it

About Anita

Activity performed

  • Italian MEMEs analyses.

Thesis abstract

Mattia Marchi

Computer Science
email: m.marchi-at-campus.unimib.it

About Mattia

Activity performed

  • Study and development of ML and DL techniques for playlist recommendation.
  • Automatic song selection based on emotive response.

Thesis abstract

The thesis objective is to obtain a system for playlist generation through recommendation based on the users' emotive states. The automatic selection of the playlists and songs will be performed by using ML and DL techniques that should be able to detect the emotive response of the users' and give proper recommendation.

Deborah Micaela Padilla

Theory and Technology of Communication
email: d.padillavaca-at-campus.unimib.it

About Deborah

Activity performed

  • Sound6D.

Thesis abstract

Matteo Parisi

Theory and Technology of Communication
email: m.parisi17-at-campus.unimib.it

About Matteo

Activity performed

  • Italian MEMEs analyses.

Thesis abstract

David Rota

Theory and Technology of Communication
email: d.rota24-at-campus.unimib.it

About David

Activity performed

  • Collaborator for the Sound6D project.
  • Measuring physiological responses to sound, through the use of specific sensors.

Thesis abstract

David's interest lies especially in the study of emotions and personality traits, starting from the physiological responses acquired on subjects listening to specific sounds.

Alex Zanardini

Theory and Technology of Communication
email: a.zanardini2-at-campus.unimib.it

About Alex

Activity performed

  • DAD video analysis.

Thesis abstract

Bachelor's Degree

Alberto Bertagnoli

Computer Science
email: a.bertagnoli1-at-campus.unimib.it

About Alberto

Activity performed

  • Underwater image quality assessment.

Thesis abstract

The quality of underwater images varies differently, therefore the thesis work aims to study the subjective and objective evaluation of underwater images considering the underwater degradation effect and human visual perception schemes.

Alessandro Ferrando

Computer Science
email: a.ferrando2-at-campus.unimib.it

About Alessandro

Activity performed

  • Acquisition and study of physiological data using two different types of devices.

Thesis abstract

Nowadays physiological signals can be acquired with different types of devices. The thesis work main activity is to compare two wearable sensors used for physiological signals acquisition and to analyze them under a technical point of view.

Giorgia Gossi

Statistics
email: g.gossi-at-campus.unimib.it

About Giorgia

Activity performed

  • Underwater image analysis.

Thesis abstract