MARIA LAURA ACETO

Dottoressa di ricerca

ciclo: XXXII


supervisore: Paolo Di Giamberardino

Titolo della tesi: Advanced methodologies of Automatic Control in biomedical applications: two notable cases

Interesting and useful applications of Automatic Control can be found/discovered in many sectors: one of them is the medical, or better the biomedical area.\newline This work focuses on two notable cases of applications of Automatic Control to biomedical field: the first one is linked to application of multi-agents systems study to epidemiological networks, while the second one deals with the use of a real micro-robotic device.\newline The interest in epidemiological networks is linked to the spread of Covid-19 in Italy and around the world in 2020. The research, carried out during PhD, was already focused on the study of dynamical networks systems but this event led to a focus on applications to real cases of epidemiological networks. The second application arises from the possibility of contributing to find a solution to a real problem, that, if solved, can lead to relevant applications, in biomedical field. Indeed, introduction of robotics, and even more micro-robotics, has led to huge innovations in the medical field, that can be improved and integrated over time.

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