Dr. Jose Antonio Marmolejo Saucedo is a Professor at Panamerican University, Mexico. His research is on large-scale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design, and digital twins in supply chains. He received his PhD in Operations Research (Hons) at National Autonomous University of Mexico. He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research and System Dynamics Society. He is the author/editor of Computational Intelligence for Covid-19 and Future Pandemics, Springer; Modeling, Simulation, and Optimization, Springer; Data Analysis and Optimization for Engineering and Computing Problems, Springer; Artificial Intelligence for Renewable Energy and Climate Change, Wiley; Intelligent Computing and Optimization, Springer; and Innovative Computing Trends and Applications, Springer; among others.