Gary N. Garcia Molina


Dr. Gary N. Garcia Molina was born in Sucre, Bolivia. He received his M.Sc. degree in Electrical Engineering from the Swiss Federal Institute of Technology (EPFL) in 2001. His diploma work was on the application of pattern recognition techniques to speech processing. He then worked as software engineer in the design and implementation of distributed systems for multimedia content broadcasting.

In April 2001 he joint Prof. Ebrahimi’s group as a PhD student, where he was involved in several projects in image, video and biomedical signal processing. He developed an adaptive direct brain-computer communication device with strong emphasis on the models and interpretations of synchronized neural activity. He obtained his PhD degree in 2004.


Journal Articles


T. Ebrahimi; J. Vesin; G. Garcia : Brain-Computer Interface in Multimedia Communication; IEEE Signal Processing Magazine. 2003. DOI : 10.1109/MSP.2003.1166626.
G. Garcia; T. Ebrahimi; J. Vesin : Joint Time-Frequency-Space Classification of EEG in a Brain Computer Interface Application; Eurasip Journal on Applied Signal Processing - Special issue on Neuromorphical Signal Processing 2003. 2003.

Conference Papers


Y. Maret; G. Garcia Molina; T. Ebrahimi : Identification of Image Variations based on Equivalence Classes. 2005.
Y. Maret; G. Garcia Molina; T. Ebrahimi : Images Identification Based on Equivalence Classes. 2005.
U. Hoffmann; G. Garcia; J. Vesin; K. Diserens; T. Ebrahimi : A Boosting Approach to P300 Detection with Application to Brain-Computer Interfaces. 2005.


U. Hoffmann; G. Garcia; J. Vesin; T. Ebrahimi : Application of the Evidence Framework to Brain-Computer Interfaces. 2004.


G. N. Garcia; T. Ebrahimi; J.-M. Vesin : Human-Computer adaptation for EEG based communication. 2003. IEEE Engineering in Medicine and Biology Conference.
G. Garcia; T. Ebrahimi; J. Vesin; A. Villca Roque : Direct Brain-Computer Communication with User Rewarding Mechanism. 2003. p. 221.
G. Garcia; T. Ebrahimi; J. Vesin : Support Vector EEG Classification in the Fourier and Time-Frequency Correlation. 2003. p. 591-594.
G. Garcia; T. Ebrahimi; J. Vesin : Correlative Exploration of EEG Signals for Direct Brain-Computer Communication. 2003. p. 816-819.


G. Garcia; T. Ebrahimi; J. Vesin : Classification of EEG Signals in the Ambiguity Domain for Brain-Computer Interface Applications. 2002.
G. Garcia; T. Ebrahimi : Time-Frequency-Space Kernel for Single EEG-Trial Classification. 2002.



G. Garcia; U. Hoffmann; J. Vesin; T. Ebrahimi : Direct Brain-Computer Communication Through EEG Signals. 2004.


J. Freudiger; G. Garcia; T. Koenig; T. Ebrahimi : Brain states analysis for direct brain-computer communication. 2003.