Dr. Carlos González Figueredo
Departamento de Procesos Tecnológicos e Industriales
Tel. 3669 3434 Ext. 3080
Office: I Building 214
Dr. González has a PhD in Chemical Engineering from the Instituto Tecnológico de Celaya, and a Master's Degree in Chemical Engineering from the Universidad Autónoma de San Luis Potosí (UASLP). He did research at the University of Maryland with a scholarship from the Fullbright-García Robles organization, as well as postdoctoral research at the Center for Research and Advanced Studies (Cinvestav) of the National Polytechnic Institute, Guadalajara Unit. He has worked as a professor and researcher at the UASLP, the Universidad Politécnica de San Luis Potosí and the Universidad Autónoma de Guadalajara.
He is a full-time professor in the Department of Technological and Industrial Processes of the Instituto Tecnológico y de Estudios Superiores de Occidente (ITESO), where he coordinated the Undergraduate Program in Chemical Engineering from 2011 to 2017.
His lines of research have focused on mathematical modeling and process control, leading to projects related to the modeling of bioreactors for solid-substrate fermentation and hydrolysis reactors for lignocellulosic materials. He currently participates in projects related to the forecasting of air quality and its possible impact in the Guadalajara Metropolitan Area.
For further information here
Areas of specialization:
Mathematical modeling, simulation and control of chemical and biotechnological processes.
Mathematical modeling of air quality.
E. Ramírez-Álvarez, M. Calderón Ramírez, R. Rico-Martínez, C. González-Figueredo, and P. Parmananda (2013), Detecting Bifurcations in an Electrochemical Cell Employing an Assisted Reference Model Strategy, The Journal of Physical Chemistry A 117 (3), 535-540 , DOI: 10.1021/jp310127a
E. Magaña-Villegas, J.M. Carrera-Velueta, S. Ramos-Herrera, J.R. Hernández-Barajas, C. González-Figueredo, J.R. Laines-Canepa, A. Valdés-Manzanilla & R.G. Bautista-Margulis (2016), Clustering Approach Applied on an Artificial Neural Network Model to Predict Pm10 in Mega Cities of Mexico, International Journal of Sustainable Development and Planning, V11 (4), 566-577, DOI: 10.2495/SDP-V11-N4-566-577.
C. González-Figueredo, A. Sánchez, G. Díaz, F. Rodríguez, R. Flores, A. Ceballos, R. Puente, H. A. Ruiz (2015), Dynamic Modelling and Experimental Validation of a Pilot-Scale Tubular Reactor for the Autohydrolysis of Lignocellulosic Materials, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, Elsevier 2015, 431-436.