Letizia Bergamasco

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38^th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)

letizia.bergamasco@polito.it

Profile

PhD

Research topic

Early markers to predict the evolution from Mild Cognitive Impairment to Overt Dementia, and support to differential diagnosis of diverse forms of dementia

Tutors

Gabriella Olmo
Claudio Gianni Pastrone
Marco Gavelli

Research presentation

Poster

Research interests

Data science, Computer vision and AI

Life sciences

Biography

Letizia Bergamasco received the B.Sc. degree in Electronics Engineering in 2018 from Politecnico di Torino and the M.Sc. degree in ICT for Smart Societies in 2020, obtaining also a Double Degree from Politecnico di Torino and Politecnico di Milano within the Alta Scuola Politecnica program. Since 2020 she has been a researcher in LINKS Foundation, where she has participated in different research projects at European and regional level, developing software and artificial intelligence solutions for medical and industrial applications. She is currently a PhD Student in Computer and Control Engineering at Politecnico di Torino, in the SMILIES research group, in collaboration with LINKS Foundation. Letizia's main research topic is about early markers of dementia, with the goal of undestanding if the analysis of facial expressions may represent a non-invasive biomarker useful in the early and differential diagnosis of diverse forms of dementia. Other research activities include the development of algorithms for an automatic evaluation of pain and vital parameters in infants using a camera.

Research

Research groups

SMILIES - reSilient coMputer archItectures and LIfE Sciences (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Bergamasco, Letizia; Lattanzi, Marta; Gavelli, Marco; Pastrone, Claudio; Olmo, ... (2024)
Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning. In: 11th International Work-Conference on Bioinformatics and Biomedical Engineering, Meloneras, Gran Canaria (Spain), July 15–17, 2024, pp. 249-263. ISSN 0302-9743. ISBN: 9783031646355
Contributo in Atti di Convegno (Proceeding)
Alberti, Enrico; Alvarez-Napagao, Sergio; Anaya, Victor; Barroso, Marta; Barrué, ... (2024)
AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0. In: SYSTEMS, vol. 12. ISSN 2079-8954
Contributo su Rivista
Viviani, Paolo; Gesmundo, Ilaria; Ghinato, Elios; Agudelo-Toro, Andres; Vercellino, ... (2023)
Deep Learning for Real-Time Neural Decoding of Grasp. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in DatabasesT (ECML PKDD 2023), Turin (Italy), September 18–22, 2023, pp. 379-393. ISSN 0302-9743. ISBN: 978-3-031-43426-6
Contributo in Atti di Convegno (Proceeding)
Bergamasco, Letizia; Gavelli, Marco; Fadda, Carla; Parodi, Emilia; Bondone, Claudia; ... (2023)
Measurement of Acute Pain in the Pediatric Emergency Department Through Automatic Detection of Behavioral Parameters: A Pilot Study. In: 10th International Work-Conference, IWBBIO 2023, Gran Canaria (Spain), July 12–14, 2023, pp. 469-481. ISSN 2366-6323. ISBN: 978-3-031-34952-2
Contributo in Atti di Convegno (Proceeding)
Bellante, Armando; Bergamasco, Letizia; Bogdanovic, Ana; Gozzi, Noemi; Gecchelin, ... (2021)
EMoCy: Towards Physiological Signals-Based Stress Detection. In: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Athens (GRC), 27-30 July 2021, pp. 1-4. ISBN: 978-1-6654-0358-0
Contributo in Atti di Convegno (Proceeding)