I have work on showing how numerical methods for modelling and solving real engineering problems is something of great value, from the study of wetlands of international interest to brain models for computer assisted brain surgery.

The biggest academic achievement so far has been to stablish a new technology on a world level to solve the electroencephalography inverse problem, which is to say, the detection of potential generating sources in electroencephalography signals. This was the study I performed during my doctorate program, where I stablished said methodology using a meshless finite element approach, merging anatomical information and temporal lobe epilepsy patient functional information.

My work as a professor and researcher has always been linked to life condition improvement for the people, to the development and growth of our country and the latin american region.

Therefore, I am convinced that scientific research must be rigorous and applied at the same time. Research constitutes a catalyst element of wellbeing and development. As such, the advancement in innovative proposals, in concepts, in appropriate technologies, requires knowledge, commitment and, overall, responsibility inside academic work.

Likewise, I consider that teaching must be always getting feedback from national and international research.

Engineering, in any area, is a living and dynamic concept, grounded both in technique and science, but that must have its output in a practical application always looking to transform the observed reality.