Researchers from the Advanced Center for Electrical and Electronic Engineering, AC3E, Patricio Orio, Wael El Deredy, Marcelo Soto, and Christian Rojas, were awarded the Regular Fondecyt granted by the National Research and Development Agency, ANID, for the development of their respective scientific-technological projects.
With them, there are now 38 active projects, led by Center researchers, funded by this fund that seeks to promote scientific-technological basic research in the various areas of knowledge.
One of the selected works is “Electric Vehicle Powertrains Based on Fractional Power DC-DC Converters”, led by Dr. Christian Rojas, with the support of co-researcher and academic from the University of Frontera, Héctor Young. “Receiving the award of this Regular Fondecyt fills me with deep gratitude, firstly towards ANID for recognizing my research in power electronics and to the Department of Electronics together with AC3E, for supporting me with the necessary infrastructure to develop this type of project. It is a recognition of the work and dedication of 13 years in the area of power electronics and energy conversion at UTFSM,” he highlighted.
Another of the winning projects is the “Network control model and optimization of non-invasive brain electrical stimulation for the rehabilitation of cortical lesions”, by researcher Dr. Wael El Deredy. It is an international collaboration with BioCruces Bizkaia (Basque Country) and the University of Manchester (United Kingdom), which uses concepts of dynamic systems and control theory to implement a brain network model, adaptive and physiologically realistic, of the interaction between electrical stimulation parameters and brain oscillations, in order to develop a mechanistic understanding of the interaction and optimize the administration of brain stimulation.
Researcher Dr. Patricio Orio, was another of the AC3E scientists to win this fund with his work “Emergence of collective behavior in learning neuronal networks”, which hopes to bring ideas that are being developed in neuroscience and the study of neuronal dynamics, to the field of machine learning in artificial neural networks. “It is a great joy to receive the support that the Regular Fondecyt means, a recognition that the research ideas we are developing can have an impact on knowledge. With this, we want to discover the rules that govern the appearance of complex emerging phenomena, under the hypothesis that in biophysical networks and artificial networks that perform similar tasks, collective phenomena will be similar,” highlighted the academic.
These awards are of great relevance to the Center, as they reflect the quality and potential impact of the projects that are being carried out, as well as the generation of knowledge and training of human capital associated with each of them.
