Dr. Carlos Brito-Loeza is currently a Professor at the
Faculty of Mathematics, Universidad Autónoma de Yucatán (since 2010). He
received his B.Sc. in Electronic Engineering from the Instituto Tecnológico de
Mérida, México. He earned an M.Sc. in Mathematics in 2005 from the Universidad
Autónoma de Yucatán, México. In 2009, he completed his Ph.D. studies in
Mathematics at the University of Liverpool, United Kingdom. His research topics
mainly include (1) variational methods; nonlinear PDEs; ill-posed inverse problems;
(2) numerical methods and optimization; multigrid methods; (3) convolutional
neural networks, image processing, and data analysis; (4) C/C++,
Python, and Matlab programming.
Dr. Carlos Brito-Loeza is currently a Professor at the
Faculty of Mathematics, Universidad Autónoma de Yucatán (since 2010). He
received his B.Sc. in Electronic Engineering from the Instituto Tecnológico de
Mérida, México. He earned an M.Sc. in Mathematics in 2005 from the Universidad
Autónoma de Yucatán, México. In 2009, he completed his Ph.D. studies in
Mathematics at the University of Liverpool, United Kingdom. His research topics
mainly include (1) variational methods; nonlinear PDEs; ill-posed inverse problems;
(2) numerical methods and optimization; multigrid methods; (3) convolutional
neural networks, image processing, and data analysis; (4) C/C++,
Python, and Matlab programming.