Gary N. Garcia Molina

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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.

PUBLICATIONS

Journal Articles

2003

Brain-Computer Interface in Multimedia Communication

T. Ebrahimi; J. Vesin; G. Garcia 

IEEE Signal Processing Magazine. 2003. Vol. 20, num. 1, p. 14-24. DOI : 10.1109/MSP.2003.1166626.

Joint Time-Frequency-Space Classification of EEG in a Brain Computer Interface Application

G. Garcia; T. Ebrahimi; J. Vesin 

Eurasip Journal on Applied Signal Processing – Special issue on Neuromorphical Signal Processing 2003. 2003. num. 7, p. 713-729.

Conference Papers

2005

Identification of Image Variations based on Equivalence Classes

Y. Maret; G. Garcia Molina; T. Ebrahimi 

2005. 

Images Identification Based on Equivalence Classes

Y. Maret; G. Garcia Molina; T. Ebrahimi 

2005. 

A Boosting Approach to P300 Detection with Application to Brain-Computer Interfaces

U. Hoffmann; G. Garcia; J. Vesin; K. Diserens; T. Ebrahimi 

2005. 

2004

Application of the Evidence Framework to Brain-Computer Interfaces

U. Hoffmann; G. Garcia; J. Vesin; T. Ebrahimi 

2004. 

2003

Human-Computer adaptation for EEG based communication

G. N. Garcia; T. Ebrahimi; J-M. Vesin 

2003. IEEE Engineering in Medicine and Biology Conference.

Direct Brain-Computer Communication with User Rewarding Mechanism

G. Garcia; T. Ebrahimi; J. Vesin; A. Villca Roque 

2003.  p. 221.

Support Vector EEG Classification in the Fourier and Time-Frequency Correlation

G. Garcia; T. Ebrahimi; J. Vesin 

2003.  p. 591-594.

Correlative Exploration of EEG Signals for Direct Brain-Computer Communication

G. Garcia; T. Ebrahimi; J. Vesin 

2003.  p. 816-819.

2002

Classification of EEG Signals in the Ambiguity Domain for Brain-Computer Interface Applications

G. Garcia; T. Ebrahimi; J. Vesin 

2002. 

Time-Frequency-Space Kernel for Single EEG-Trial Classification

G. Garcia; T. Ebrahimi 

2002. 

Reports

2004

Direct Brain-Computer Communication Through EEG Signals

G. Garcia; U. Hoffmann; J. Vesin; T. Ebrahimi 

2004

2003

Brain states analysis for direct brain-computer communication

J. Freudiger; G. Garcia; T. Koenig; T. Ebrahimi 

2003