Paolo Tasca

Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 39^th cycle (2023-2026)
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

Video presentation

Keywords

Motor control, neuroengineering and rehabilitation engineering

Biomedical signal and image processing

Biography

Paolo Tasca is a PhD candidate in Bioengineering and Medical-Surgical Sciences at Politecnico di Torino. He completed his Bachelor’s degree in Biomedical Engineering in 2020 and his Master’s degree in Biomedical Engineering (Biomedical Instrumentation track) in 2022, graduating with full marks and honors. During his academic training, he was an Erasmus+ student at the Universitat Politècnica de Catalunya (Barcelona, Spain) and was selected for the Alta Scuola Politecnica honors program, jointly organized by Politecnico di Torino and Politecnico di Milano.
Since 2023, he has been conducting research at Politecnico di Torino, first as a research scholar and, since October 2023, as a PhD student. His research focuses on the assessment of mobility and cognition in real-world conditions using wearable and smartphone-based sensors, integrating signal processing, machine learning, and biomechanical modeling. His work aims to develop robust and clinically meaningful digital mobility outcomes.
He is a main contributor to MobGap, an open-source package for digital mobility assessment developed within the European Mobilise-D project, and has contributed to technical validation studies, datasets, and methodological documentation. His research activity has resulted in numerous peer-reviewed publications in international journals and conference proceedings.
He has received several awards for his research, including Best Paper and Young Researcher awards from SIAMOC, international research travel grants, and a Royal Society International Exchange Grant. In 2025, he undertook a visiting research period at Newcastle University, focusing on the real-world assessment of head and trunk movements during walking in people with Parkinson’s disease.

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

MostraNascondi A.A. passati

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)