The Multimedia Signal Processing Laboratory is active in research and teaching in the field of multimedia signal processing and applications. The main research activities are based on the development of algorithms and methods to process digital signals, from multimedia (audio, images and video), to physiological ones (EEG, Galvanic Skin Response, Heart rate, and so on).
Machine learning, genetic programming and optimization algorithms are the main techniques used to process and analyze the data.


The main research areas of the Multimedia Signal Processing Laboratory are image quality assessment, image complexity perception, affective signal processing, electroencephalographic signal processing, and misogyny and sexism detection in multimedia.


The Multimedia Signal Processing Laboratory proposes numerous research activities for Bachelor's and Master's Degree students in its main research areas.
Numerous activities involve an experimental phase, during which the students may approach new technologies for physiological signal acquisition.
Moreover, many projects have been proposed to provide a multidisciplinary approach to different research fields.