Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 41st cycle (2025-2028)
Department of Electronics and Telecommunications (DET)
Adjunct lecturer/Adjunct instructor
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Development of neuroengineering methodologies and AI-based wearable solutions to quantify physiological stress and dual-task effects on motor and cognitive performance in real-world environments.
Tutors
Keywords
Teaching
Teachings
Master of Science
- Neuroengineering. A.A. 2025/26, INGEGNERIA BIOMEDICA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Ghislieri, Marco; Locoratolo, Lorenzo; Sciscenti, Fabrizio; Lanotte, Michele; Rizzi, ... (2026)
Muscle Network of Parkinson's Gait: A 12-Month Longitudinal Analysis Before and After Deep Brain Stimulation Surgery. In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 34, pp. 1947-1960. ISSN 1534-4320
Contributo su Rivista - Ghislieri, Marco; Locoratolo, Lorenzo; Sciscenti, Fabrizio; Knaflitz, Marco; Rizzi, ... (2025)
Improved Dual-Task Interference in Parkinson’s Disease following Deep Brain Stimulation. In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 33, pp. 4624-4635. ISSN 1534-4320
Contributo su Rivista - Locoratolo, Lorenzo; Ghislieri, Marco; Sciscenti, Fabrizio; Lanotte, Michele; Rizzi, ... (2024)
A graph-based approach to study motor coordination in Parkinson’s Disease gait: a longitudinal study to assess the effectiveness of Deep Brain Stimulation neurosurgery. In: 24th National Congress of SIAMOC, Stresa (Italy), 2-5 October 2024, pp. 26-27. ISSN 0966-6362
Contributo in Atti di Convegno (Proceeding)