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.
Joint Time-Frequency-Space Classification of EEG in a Brain Computer Interface ApplicationEurasip Journal on Applied Signal Processing – Special issue on Neuromorphical Signal Processing 2003. 2003. num. 7, p. 713-729.
Identification of Image Variations based on Equivalence Classes2005.
Images Identification Based on Equivalence Classes2005.
A Boosting Approach to P300 Detection with Application to Brain-Computer Interfaces2005.
Application of the Evidence Framework to Brain-Computer Interfaces2004.
Human-Computer adaptation for EEG based communication2003. IEEE Engineering in Medicine and Biology Conference.
Direct Brain-Computer Communication with User Rewarding Mechanism2003. p. 221.
Support Vector EEG Classification in the Fourier and Time-Frequency Correlation2003. p. 591-594.
Correlative Exploration of EEG Signals for Direct Brain-Computer Communication2003. p. 816-819.
Classification of EEG Signals in the Ambiguity Domain for Brain-Computer Interface Applications2002.
Time-Frequency-Space Kernel for Single EEG-Trial Classification2002.
Direct Brain-Computer Communication Through EEG Signals
Brain states analysis for direct brain-computer communication