MMSP

We know just a little about our brains. In this research area we try to approach brain-related information considering both traditional neural data, such as electroencephalographic signals, and data that allow a better understanding on brain conditions, such as speech.
We are also very attentive to treating novel technologies not only from the perspective of computer scientists and as tools ameliorating people's lives, but also as potential threats to fundamental human rights.

Health informatics regards the application of computational techniques to medical data of patients, such as electronic health records (EHRs).
Through social informatics, we aim at analyzing social and demographic data to better understand poverty and participation of elderly in the society.

The multidisciplinary field of Human-Machine Interaction (HMI) mainly pertains the biridirectional interaction of human and machines in different application contexts.
We mainly focus on motor imagery and inner speech based brain-computer interfaces, mood and emotion detection and monitoring, and speech emotion recognition (SER).

Multimedia content has become pervasive. In this research area we mainly focus on the detection of hateful content, especially misogynistic, in viral contents such as memes. Moreover, we work towards the understanding of novel learning approaches by analyzing video lectures and provide a better insight on the user perceived interest in visual contents.

During the years, we have been involved in many projects such as Longevicity, Ampel,  Age-IT and more recently PREDICTOR project.

To nurture our ideas and having dear the possibility of looking at different research topics with a multidisciplinary eyes, we are always open to new collaborations.
We have close collaborations with computer scientists, psychologists, clinicians, mathematicians, engineers, law and ethics experts.