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DISI, Dept. Computer and Information Sciences - University of Genoa (ITALY)

Our organisation type is:: University

We are active in the following Technologies: human-machine-interface, sensors-actuators, software-web-networks, tele-monitoring

Action type: Research, Development, Studies

Applications: Health & wellness, Safety, security, privacy, Information and learning, Home care, Mobility

The MaLeNa (Machine Learning and Natural) Computing Group operates at the Department of Computer and Information Sciences (DISI), University of Genoa and deals computational models inspired by the natural systems including evolutionary algorithms, neural networks, molecular computing and quantum computing, In recent decades, many of these models have been successfully applied by the MaLeNa Computing Group to solving complex problems of image and signal analysis, classification, clustering, variable selection, data visualization, data mining and information fusion., in collaboration with many scientific and industrial partners.

The group has been awarded of the 2008 Pattern Recognition Society Award for the article: M. Filippone, F. Camastra, F. Masulli, S. Rovetta, "A survey of kernel and spectral methods for clustering", Pattern Recognition, 41, pp. 1. 176-190, 2008.

At present the MaLeNa Computing Group is involved in the project “Machine Learning methods applied to an experiment in Ambient Assisted Living at the Special Unit for Dementia of RSA Galliera “ ( that is aimed at the intelligent analysis of behavior on the basis of sensed data obtained from the interaction of the individual with the assistive environment. We will make use of sensors of various kinds (e.g., ultra-sound, RFID, video, blood pressure, temperature), that will be installed in the pilot plant (the Special Unit for dementia of the Galliera Hospital in Genoa-Italy). Data will be concentrated, mined using Machine Learning and Computational Intelligence methods, and made available to the medical and paramedic staff interactivelity on video screens, tablets and smart phones. The expected results of the project are: (a) allowing the constant monitoring of the health of the subject; (b) increasing the security; (c) optimizing the work of the paramedical staff.


Address for contacts:

Prof. Francesco Masulli

DISI Dept Computer and Information Sciences

University of Genova

Via Dodecaneso 35

1614 +39 010353 66046 Genoa (ITALY)

tel +39 010353 6604

fax +39 010353 6699

skype id: masulli




Contact details


Prof. Francesco Masulli
Phone: + 39 010 353 6604


DISI - University of Genova
Via Dodecaneso 35, 16166 Genova