Jose Antonio Cantoral Ceballos (Ph.D., M.Sc., MIEEE) received the B.Sc. (Excellence Hons.) degree in electronic and communications engineering from the Tecnologico de Monterrey, Mexico, in 2005, and the M.Sc. (Distinction) and Ph.D. degrees from the University of Manchester, Manchester, U.K., in 2009 and 2013, respectively, with a focus on algorithms for tomography imaging in embedded systems. During 2013-2014 he was a Post-Doctoral Research Associate at the University of Manchester where he worked on the design and development of a tomography data acquisition system, as well as imaging algorithms from limited views. From 2015 to 2020 he was at the Advanced Technology Center (CIATEQ A.C.), Mexico, where his research efforts focused on the study of novel Deep Learning methods to solve Digital Signal Processing and Energy problems. Currently, he is a Research Professor at the Tecnologico de Monterrey, in the department of Computer Science, where he continues his research on Deep Learning solutions to different problems, in particular to the study of neurological signals.
Dr. Cantoral-Ceballos was the recipient of the National Instruments Prize for his M.Sc. dissertation in 2009 and the Best Technical Presentation Award at the Seventh World Congress of Industrial Process Tomography (WCIPT), Krakow, in 2013.
He is currently a National Researcher Level 1 and a University NVIDIA Ambassador.
joseantonio.cantoral@tec.mx
