Umberto Mosca

Ph.D. candidate in Intelligenza Artificiale , 40^th cycle (2024-2027)
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

umberto.mosca@polito.it

Profile

PhD

Tutors

Research interests

Biomedical signal processing

Life and medical sciences

Machine learning

Machine learning for biomedical data interpretation

Rem sleep behaviour disorder

Sleep disorders

Wearable devices

Skills

ERC sectors

LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence

LS7_12 - Health care, including care for the ageing population

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

LS5_11 - Neurological and neurodegenerative disorders

SDG

Goal 3: Good health and well-being

Teaching

Teachings

Bachelor of Science

Informatica. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Informatica. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

Research

Research groups

SMILIES - reSilient coMputer archItectures and LIfE Sciences (DAUIN)

Research projects

Projects funded by competitive calls

RBD automatic detection through HRV, (2024-2026) - Componente gruppo di Ricerca
Corporate-funded and donor-funded research

Publications

Latest publications View all publications in Porto@Iris

Gazzanti Pugliese Di Cotrone, Michele Antonio; Akhtar, Nidà Farooq; Patera, Martina; ... (2025)
Early Detection of Dysphagia Signs in Parkinson’s Disease: An Artificial Intelligence-Based Approach Using Non-Invasive Sensors. In: SENSORS, vol. 25. ISSN 1424-8220
Contributo su Rivista

Society and Enterprise

Patents and other intellectual properties

Metodo per la determinazione di condizioni di sonno RBD per diagnosi malattie degenerative. national Software
Inventors: Umberto Mosca