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Andrea Biasiucci

office(s): ELB116
phone(s): [+41 21 69] 30926
MISSION
My scientific research is focused on coupling Brain-Computer Interface (BCI) systems to standard rehabilitation protocols to induce and promote beneficial neuroplasticity. To do so, I am exploring well established electrical neuroimaging techniques as well as novel single trial machine learning solutions.

During my Master's Thesis at CNBI (Chair in Non-Invasive Brain-Machine Interaction) I focused on single trial recognition of error-related potentials (EEG correlates of human awareness of interface errors) to increase the performance of an activity recognition systems based on hand movements.
Education
Master's Degree (Laurea Magistrale), Bioengineering, Universitŕ degli Studi di Genova (Italy), Feb. 2007 - Feb. 2010
Master's Thesis (Final Project), EPFL (Switzerland), Chair in Non-Invasive Brain-Machine Interface, Jun. 2009 - Jan. 2010
Erasmus Scolarship, Universitet i Bergen (Norway), Aug. 2005 - Jul. 2006
Bachelor's Degree (Laurea Triennale), Electronic Engineering, Universitŕ degli Studi di Roma 3 (Italy), Sept. 2003 - Dec. 2006
MAIN PUBLICATIONS

A. Biasiucci, R. Chavarriaga Lozano, R. Leeb, H. Sagha, D. Mattia, and J. d. R. Millán. EEG Microstates for BCI Therapist Feedback: Preliminary Results on a Stroke Patient. International Journal of Bioelectromagnetism, 13(3):129-130, 2011. [ Details | Full Text ]

R. Leeb, A. Al-Khodairy, A. Biasiucci, S. Perdikis, M. Tavella, L. Tonin, T. E. Carlson, and J. d. R. Millán. Are we ready? issues in transferring BCI technology from experts to users. In Proceedings of the 5th International Brain-Computer Interface Conference 2011, pages 352-355, Graz, 2011. Verlag der Technischen Universitaet Graz. [ Details | Full Text | Link ]

A. Biasiucci, R. Chavarriaga Lozano, B. Hamner, R. Leeb, F. Pichiorri, F. De Vico Fallani, D. Mattia, and J. d. R. Millán. Combining Discriminant and Topographic Information in BCI: Preliminary Results on Stroke Patients. In 5th International IEEE EMBS Conference on Neural Engineering, 2011. [ Details | Full Text | Link ]

A. Biasiucci, R. Chavarriaga Lozano, K. Förster, D. Roggen, G. Tröster, and J. d. R. Millán. Human Awareness to Interface Errors Improves HCI Performance. 2010. [ Details | Full Text | Link ]

R. Chavarriaga, A. Biasiucci, K. Förster, D. Roggen, G. Tröster, and J. d. R. Millán. Adaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials. In 2010 Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC), IEEE Engineering in Medicine and Biology Society Conference Proceedings, pages 4226-4229. IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, NJ 08855-1331 USA, 2010. [ Details | Full Text ]

K. Förster, A. Biasiucci, R. Chavarriaga, J. d. R. Millán, D. Roggen, and G. Tröster. On the use of brain decoded signals for online user adaptive gesture recognition systems. In Pervasive 2010 The Eighth International Conference on Pervasive Computing, 2010. [ Details | Full Text | Link ]

Skills
EEG signal processing
Machine Learning
Neuroimaging
Interests
Brain-Computer Interaction
Electrical Brain Imaging
Brain Plasticity and Rehabilitation
Assistive Technology


©2004-2012 Andrea Biasiucci - EPFL, 1015 Lausanne - last updated : 2011-12-05 15:49:36
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