Rodrigo Lopez-Farias

Interest in producing novel time and spatio­temporal series Simulation Modelling (ABM/Predictive/Economic modelling) and pre­ diction techniques using machine learning (Artificial Neural Networks, Nearest Neighbors, Support Vector Machines) applied to predict pollutants in the cities (PM2.5, light pollution), urban land change prediction, wind speed in sustaina­ ble energy generation, and water demand. Multi­Model Prediction with proba­ bilistic model selection. Global and non­convex numerical optimization applied to System Identification in Biology Systems.