SKOLKOVO INNOVATION CENTER, MOSCOW, RUSSIA
APRIL 16, 2019
SKOLKOVO INNOVATION CENTER, MOSCOW, RUSSIA | APRIL 16, 2019

Alexei Ossadtchi

professor, Higher School of Economics

Alexei Ossadtchi is a leading Russian scientist in the field of Neuroimaging. He is currently a Professor and Director of the Center for Bioelectric Interfaces at the National Research University Higher School of Economics. Dr. Ossadtchi holds a Ph.D. degree in Electrical Engineering from the University of Southern California (2003), where he developed approaches for automatic identification of epileptogenic regions in multi-focal epilepsy. These methods are being applied to non-invasively collected magnetoencephalographic (MEG) data for improved diagnostic accuracy of patients with epilepsy. Dr. Ossadtchi continued this research in Russia; he developed efficient solutions to the interpretation of MEG and electroencephalography (EEG) based neuroimaging. His hardware tools and software algorithms were applied to the analysis of brain activity in both healthy subjects and patients suffering from neurological conditions. 

The other direction of Dr. Ossadtchi's research is the development of of bi-directional brain-computer interfaces (BCIs) -- both non-invasive and invasive -- that enable neural control of robotic devices, such as intelligent hand prosthesis and exoskeletons.  These BCIs are intended for functional restoration and neurorehabilitation of disabled individuals.   Dr. Ossadtchi  taught several courses at top US and Russian universities, dedicated to mathematical methods in multimodal neuroimaging. He authored more than forty publications in high-impact international journals specialized in methods for functional neuroimaging and their real-time applications, such as BCIs and neurofeedback. In addition to academic background, Dr. Ossadtchi has an extensive business experience. He was a Senior Scientist for twelve years at Source Signal Imaging Inc., San Diego, CA, where he developed the EMSE Software Suite, a verstaile data analysis tool for multimodal neuroimaging.

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