Daniele Germano
Daniele Germano graduated in Data Science in July 2020 from Sapienza University of Rome. Since 2015, he has been working as a consultant in Analytics and Data Science, collaborating with various companies in the ICT sector. Starting in 2020, he began collaborating with the Department of Molecular Medicine at Sapienza University of Rome to develop Machine Learning and Deep Learning models for processing and analyzing electrical signals in passive Brain-Computer Interface applications. Since November 2023, he has been attending the ABRO PhD program in Bioinformatics. His primary study objective is the development of Artificial Intelligence models for processing and analyzing biosignals. He is affiliated with the Department of Computer, Control, and Management Engineering (DIAG) at Sapienza University of Rome.
Membro di
Ultime pubblicazioni
| A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees in SENSORS | 2023 |
| Unsupervised detection of covariate shift due to changes in EEG headset position: towards an effective out-of-lab use of passive brain–computer interface in APPLIED SCIENCES | 2023 |
| Evaluation of a new lightweight EEG technology for translational applications of passive brain-computer interfaces in FRONTIERS IN HUMAN NEUROSCIENCE | 2022 |
| Validation of a light EEG-based measure for real-time stress monitoring during realistic driving in BRAIN SCIENCES | 2022 |
| Mental Effort Estimation by Passive BCI: A Cross-Subject Analysis in ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY | 2021 |