
Assistant Professor with time contract
Department of Control and Computer Engineering (DAUIN)
- Member of Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab
Profile
Research interests
Biography
I am currently an Assistant Professor (RTD-A) at the Department of Computer and Control Engineering, Politecnico di Torino, working on Machine Learning, Wearable Sensors, Data Analytics, Human Activity Recognition (HAR), and Internet of Medical Things (IoMT). I obtained my Bachelor's (B.Sc.) and Master's (M.Sc.) degrees in Biomedical Engineering from the Politecnico di Torino in 2015 and 2018, respectively. I obtained my Ph.D. in Computer Engineering in January 2023 with a thesis on wearable sensors and artificial intelligence for Parkinson's disease monitoring. My research interests include telemedicine, machine learning, motion analysis, and neurodegenerative disorders. In particular, I focus on the use of wearable technology and artificial intelligence for monitoring elderly subjects and people with neurological disorders.
Scientific branch
(Area 0009 - Industrial and information engineering)
Skills
ERC sectors
SDG
Editorial boards
- PLOS ONE (2023-), Editorial board member
- FRONTIERS IN DIGITAL HEALTH (2023-), Editorial board member
- FRONTIERS IN NEUROLOGY (2023-), Guest Editor of magazine or editorial series
- ELECTRONICS (2022-), Guest Editor of magazine or editorial series
Conferences
- SAI Future of Information and Communication Conference (4/4/2024-5/4/2024), Program committee
- EAI International Conference on Pervasive Computing Technologies for Healthcare (27/11/2023-28/11/2023), Program committee
- International Conference on Intelligent Computing and Next Generation Networks (17/11/2023-18/11/2023), Program committee
- IEEE International Biomedical Instrumentation and Technology Conference (9/11/2023-10/11/2023), Program committee
- ACM International Symposium on Wearable Computers (11/9/2023-15/9/2023), Program committee
- IEEE International Conference on ICT Solutions for eHealth (9/7/2023-12/7/2023), Program committee
- IEEE International Conference on Digital Health (2/7/2023-8/7/2023), Program committee
- IEEE International Symposium on Computer Based Medical Systems (22/6/2023-24/6/2023), Program committee
Teaching
Courses of Study Boards
- Collegio di Ingegneria Biomedica. Componente invitato
Teachings
PhD
- Machine Learning in Healthcare: From Theory to Practice. A.A. 2023/24, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
Master of Science
- Challenge@PoliTo by Firms - Students from the future. A.A. 2021/22, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
Bachelor of Science
- Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Sigcha, Luis; Borzi', Luigi; Amato, Federica; Rechichi, Irene; Ramos-Romero, Carlos; ... (2023)
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 229, Part A. ISSN 0957-4174
Contributo su Rivista - Demrozi, F.; Borzi', L.; Olmo, G. (2023)
Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases. In: ELECTRONICS, vol. 12. ISSN 2079-9292
Contributo su Rivista - Borzi', Luigi; Sigcha, Luis; Olmo, Gabriella (2023)
Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease. In: SENSORS, vol. 23. ISSN 1424-8220
Contributo su Rivista - Borzi', Luigi (2023)
Wearable sensors and artificial intelligence for monitoring of Parkinson's disease. relatore: OLMO, Gabriella; , 35. XXXV Ciclo, P.: 211
Doctoral Thesis - Sigcha, Luis; Domínguez, Beatriz; Borzi', Luigi; Costa, Nélson; Costa, Susana; Arezes, ... (2022)
Bradykinesia Detection in Parkinson’s Disease Using Smartwatches’ Inertial Sensors and Deep Learning Methods. In: ELECTRONICS, vol. 11. ISSN 2079-9292
Contributo su Rivista