Thomas Barbera is a PhD student at the Department of Informatics, Systems and Communication (DISCo) of the University of Milano-Bicocca (UniMiB). He obtained his bachelor’s degree and master’s degree in Computer Science at UniMiB respectively in 2021 and 2023.
His main research topics are image and digital signal processing and understanding in the healthcare domain, using primarily machine learning techniques. He is now focusing on analyzing signals obtained from wearable and environmental sensors. In addition, he is involved in the activities of the Anthem research project.
Journal Articles
Proceedings
2026 Alzheimer's disease classification from EEG using a multiscale temporal deep network Zini, S., Barbera, T., Bianco, S., Napoletano, P. (2026). Alzheimer's disease classification from EEG using a multiscale temporal deep network. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 114(1 April 2026) [10.1016/j.bspc.2025.109321].2025 On Using AI for EEG-Based BCI Applications: Problems, Current Challenges and Future Trends Barbera, T., Burger, J., D'Amelio, A., Zini, S., Bianco, S., Lanzarotti, R., et al. (2025). On Using AI for EEG-Based BCI Applications: Problems, Current Challenges and Future Trends. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION [10.1080/10447318.2025.2561185].