Paolo Tasca

Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 39^th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)

paolo.tasca@polito.it

Profile

PhD

Research topic

Assessment of head, trunk, and lower limbs movements of healthy and neurologically diseased individuals during walking in real-world conditions

Tutors

Research presentation

Poster

Research interests

Motor control, neuroengineering and rehabilitation engineering

Biomedical signal and image processing

Biography

Paolo Tasca was born in Palermo in 1999. After graduating with top marks from the Scientific High School "A. Einstein" in Palermo, he earned a Bachelor's degree in Biomedical Engineering from the University of Palermo in 2020, achieving a final grade of 110/110 with honors. During the final year of his undergraduate studies, he spent six months abroad as part of the Erasmus program at the Universitat Politècnica de Catalunya in Barcelona, Spain.
In 2020, he enrolled in the Master's program in Biomedical Engineering at Politecnico di Torino, graduating in December 2022 with the highest distinction (110/110 cum laude). His thesis, titled "A machine learning approach for spatio-temporal gait analysis based on a head-mounted inertial sensor", focused on developing and validating machine learning methods for estimating walking speed in real-world conditions using data from a single inertial sensor placed on the head.
Alongside his Master’s studies, he was selected for the "Alta Scuola Politecnica" honors program, a joint initiative between Politecnico di Torino and Politecnico di Milano, which he successfully completed in February 2022.
In 2023, he began his academic career at Politecnico di Torino as a research fellow. Since October 2023, he has been a PhD student in the Doctoral Program in Bioengineering and Surgical-Medical Sciences (39th cycle).

Awards and Honors

vincitore della 1ª edizione del Research Travel Award “Maria Grazia Benedetti” promosso dalla Società Italiana di Analisi del Movimento in Clinica (SIAMOC), grazie al progetto di ricerca intitolato: “Real-world Assessment of Upper Body Movements during Walking in People with Parkinson’s Disease”. Il riconoscimento prevede un finanziamento economico per un periodo di ricerca all’estero, che svolgerò presso il Brain and Movement (BAM) Research Group della Newcastle University, dal 1° ottobre al 31 dicembre 2025. (2025)

Teaching

Teachings

Master of Science

Smart measurements in sports and physical activity. A.A. 2024/25, INGEGNERIA BIOMEDICA. Collaboratore del corso

Publications

Latest publications View all publications in Porto@Iris

Audisio, Alessandra; Fortunato, Daniele; Tasca, Paolo; Caruso, Marco; Cereatti, Andrea (2025)
Vertical displacement of the approximated body center of mass during typical daily activities: A transition-based complementary filter method using barometric and inertial data. In: JOURNAL OF BIOMECHANICS, vol. 186. ISSN 0021-9290
Contributo su Rivista
Tasca, P.; Salis, F.; Rosati, S.; Balestra, G.; Mazza, C.; Cereatti, A. (2025)
Estimating Gait Speed in the Real World With a Head-Worn Inertial Sensor. In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 33, pp. 858-867. ISSN 1534-4320
Contributo su Rivista
Tasca, Paolo; Salis, Francesca; Rosati, Samanta; Balestra, Gabriella; Cereatti, Andrea (2023)
A machine learning approach for stride speed estimation based on a head-mounted IMU. In: Eighth National Congress of Bioengineering, GNB, Padova; Italy, 21 - 23 Giugno 2023. ISBN: 9788855580113
Contributo in Atti di Convegno (Proceeding)