Alejandro Ojeda received the B.S degree in Control Engineering in 2006 from Polytechnic University of Havana (CUJAE) and in 2009 the M.S. degree in Neurophysics and Neuroengineering from the National Center for Scientific Research, Havana, Cuba. Currently, he is working towards the Ph.D. degree at the Electrical and Computer Engineering Department, University of California San Diego (UCSD), La Jolla. His research interests include Bayesian methods for EEG source imaging, neural motor control, and biophysical modelling and identification of large scale neural systems. He is currently a research scientist at Syntrogi Inc., a San Diego based Neurotechnology company.
TBME, Featured ArticlesReal-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG
Tim R. Mullen, Christian Kothe, Yu Mike Chi, Alejandro Ojeda, Trevor Kerth, Scott Makeig, Tzyy-Ping Jung, Gert Cauwenberghs
In recent years, there have been significant advances in wearable, mobile, dry-electrode electroencephalography (EEG) systems. These are yielding exciting new possibilities for scientific research, clinical diagnostics and therapeutics, and brain-computer interfaces (BCI) outside the clinic or laboratory. However, these systems... Read more
Posted on 22 OCT 2015