https://youtu.be/YrW6rFIKjDw

 

Develop and implement frameworks, methodologies and strategies to model and optimize processes using discrete event simulation software.

Develop a holistic approach to CAPP applied to reconfigurable systems and micro-factories

Support the development of the Energy Sector in Mexico by developing research, training and creating an infrastructure to cope with the need of talent and technology development required to achieve the vision and goals of the Mexican Energy Reform

Unlike conventional materials development process, the Reverse 4D Materials Engineering project aims at the rapid development of high-performance materials. The objective of the project is to develop methods and tools that generate the optimal material structure with minimal computational effort. The project brings together experts in the areas of materials science, applied mathematics and optimization.

The "Mathematical Modeling to Support Decision Making in the Energy Sector" project focuses on investigating modeling, simulation, and optimization approaches for decision making in the energy sector. The project aims at investigating mathematical modeling to meet multiple stakeholder objectives involved in the energy sector. The project consists of the following tasks: - Development of optimization models that allow to evaluate diverse combinations of transport and sources of energy - Development of a methodology to generate optimal operating sequences in electricity generation plants to deal with the variability due to the introduction of renewable energy sources. - Development of a machine learning method based on data mining aimed at more accurate forecast of electricity demand.