He obtained a PhD degree in Computer Science from Ghent University, Belgium in 2011 (PhD thesis here) and a Master degree in Computer Systems Engineering with a major in Intelligent Systems from Halmstad University, Sweden (Master thesis here).
His main research interests include: recurrent neural networks, agent/robot behavior learning, and machine learning for modelling and control of industrial processes (oil & gas, refrigerating compressors, energy distribution networks, etc.). (http://ericantonelo.com/research)
He is member of the Artificial Intelligence research group from DAS/CTC/UFSC.
Further information can be obtained at: http://ericantonelo.com/.