I am PhD in computer science specialized in reconfigurable computing on FPGAs. My PhD research has been carried out at the Computer Architecture Group of the University of Zaragoza (Spain), and it has been focused on the analysis of performance and energy efficiency of hardware design and hardware/software codesign applied to the artificial intelligence engine of board games. Several designs developed as a part of my thesis were presented to the design competition organized yearly by the International Conference on Field-Programmable Technology. These designs were awarded the first prize in 2009, 2010 and 2014, second prize in 2012, and fourth prize in 2013.
Currently, my research is focused on efficient hardware architectures for Deep Learning and the evaluation of their resilience.
My area of interest also covers other domains such as the development and evaluation of automated strategies for the financial markets, or the analysis of strategies for the poker game.
Here you can check my dissertation, entitled Analysis of Performance, Power Consumption, and Energy efficiency of modern FPGAs and Microprocessors.