I'm a Mexican Computational Systems Engineer from
Technology Institute of Morelia. (Instituto Tecnológico de
Morelia). Morelia, Mexico
I'm a MSc on Electrical Engineering, I got the Grade in
Michoacan University of San Nicolas de Hidalgo. (Universidad
Michoacana de San Nicolas de Hidalgo, UMSNH). Morelia, Mexico. Now
I'm working on Model Predictive Control in DySCO (Dynamical Systems
Control and Optimization) lab at the IMT Lucca, Italy.
My contributions so far are in the field of Global Optimization
and Dynamical Systems. My representative work are two important
articles in International Conferences ( and ) arising from my
Master's thesis , and I have been invited to give seminars about
my scientific research by the Department of Postgraduate Studies in
the UMSNH  and by the Superior Institute of Technology of
Hidalgo City, Mexico (Instituto Tecnológico Superior de Ciudad
Hidalgo) during the cycle of conferences celebrating the X
Anniversary of this Institute of Technology .
 Master's Thesis: Bifurcation Diagrams for
discontinuous of Nondifferentiable Equations.
 Flores, Juan; Lopez, Rodrigo; Barrera, Julio. Gravitational
Interactions Optimization. Learning and Intelligent Optimization.
Editor: Carlos A. Coello Coello. SpringerLink.
Volume 6683, 2011. Rome, Italy. P. 226-237. ISBN:
Juan J.Flores, Rodrigo Lopez and Julio Barrera, Particle
swarm optimization with gravitational interactions for multimodal
and unimodal problems. Proceedings of the 9th Mexican International
Conference on Artificial Intelligence(MICAI 2010) pages 361-370.
Springer-Verlag. Pachuca Mexico. November 2010.
Activities of X Anniversary of the Superior Institute of
Technology of Hidalgo City. "Evolutionary computing applied to
dynamical systems"(Hidalgo City, Mexico. October 2012)
Week of research Projects FIE of the UMSN- "Gravitational
Interactions Optimization". (Morelia, Mexico. June 2010)
Week of Research Projects FIE of the UMSNH- "Bifurcations
Diagrams using Artificial Intelligence Tools"(Morelia ,Mexico. June
In this moment I'm interested on:
Model Predictive Control.