Research Theme:  Computational Intelligence and Health and Wellbeing Support
            PhD Program in Bioengineering and Robotics

Tutors: Francesco Masulli
Department: DIBRIS (University of Genova)

Description: In the last few years, in the electronic consumer market many low cost sensing devices have become available, including activity-tracking wristbands with accelerometers and monitoring of heart rate, skin conductance and temperature; motion and gesture trackers; eye trackers; and wireless brain activity trackers employing few selected eeg channels. Those sensing devices, possibly integrated with standard computer and mobile phones and tablets, make possible the development of individual health and wellbeing supports, including monitoring of the health state of fragile people, sleep analysis, and serious games for cognitive and physical rehabilitation. The development of new innovative Computational Intelligence techniques (Neural Networks, Evolutionary Computation and Fuzzy Logic) for supervised and unsupervised analysis of the masses of sensor data potentially available is one of the main challenging tasks of this activity. The project will be carried out in the framework of collaborations with clinical partners, with the aim of improving the health assistance and the wellbeing, and to reduce the costs of medical care.

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Requirements: background in computer science, bioengineering, computer engineering, physics or related disciplines.

Reference: Anguera J, et al, Video game training enhances cognitive control in older adults. Nature. 2013 Sep 5;501(7465):97-101.