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ABOUT US

The MultiMedia Signal Processing (MMSP) Laboratory is a research group of the Department of Informatics, Systems and Communication at the University of Milano-Bicocca.

The MMSP lab is active both in research and teaching activities covering topics mainly related to  human-machine interaction, health and social informatics, computational neuroscience and multimedia data processing.

The laboratory research activity is strongly characterized by collaboration with colleagues from other disciplines, particularly psychology, social sciences, medicine, law and ethics. 

The MMSP  members are active within several research centers, among them:

  • NeuroMi, Milan Center for Neuroscience
  • Me.Te inter-university Research Center on Methods and digital Technologies  for the empowerment and rehabilitation of cognitive and linguistics functions 
  • BReCHS, Bicocca Research Centre in Health Services 

The MMSP laboratory organizes and actively participates in dissemination events addressed especially to high school students and to the population on topics related to human machine interactions and ethics and human rights in the era of AI and new technologies, with a particular focus on neurotechnologies.

OUR MEMBERS

Francesca Gasparini
Laboratory head

Davide Chicco
Assistant Professor

Aurora Saibene
Postdoc Research Fellow

Alessandra Grossi
Research Fellow

Claudia Rabaioli
PhD Student

Giulia Rizzi
Research Fellow

RESEARCH AREAS

Computational neuroscience

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 & Social Informatics

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.

Human-machine interaction

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 data processing

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.

Other projects

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

Collaborations

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.

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