Model Predictive Control Strategies Performance Evaluation over a Pipeline Transportation System. - Jorge Cárdenas-Cabrera; Luis David Díaz-Charris; Andrés Torres-Carvajal; Narciso Castro-Charris; Elena Romero-Fandiño; José David Ruiz Ariza; Javier Jiménez-Cabas (J. Control. Sci. Eng., 2019)

Robust Control of the Classic Dynamic Ball and Beam System. - Javier Jiménez-Cabas; Farid Meléndez-Pertuz; Luis David Díaz-Charris; Carlos Andrés Collazos Morales; Ramón Enrique Ramayo González (ICCSA (3), 2020)

User Interface-Based in Machine Learning as Tool in the Analysis of Control Loops Performance and Robustness. - John Gómez Múnera; Javier Jiménez-Cabas; Luis David Díaz-Charris (CISIM, 2022)

Artificial Neural Network to Estimate Deterministic Indices in Control Loop Performance Monitoring. - John Gómez Múnera; Luis David Díaz-Charris; Javier Jiménez-Cabas (IHCI (2), 2023)

Application of Machine Learning Techniques for Leak Detection in a Horizontal Pipeline Transporting a Water-Glycerol Mixture. - Adalberto Gámez-De-León; Javier Jiménez-Cabas; Luis David Díaz-Charris; Jorge Herrera Cuartas (IHCI (1), 2024)

Automatic Railway Signaling Generation for Railways Systems Described on Railway Markup Language (railML). - Martín N. Menéndez; Santiago Germino; Luis David Díaz-Charris; Ariel Lutenberg (IEEE Trans. Intell. Transp. Syst., 2024)

Electronic Nose for Classification of Banana Ripeness by Using MLP, KNN, and SVM Algorithms. - Victor A. Vargas Alarcón; Samir E. Parra Ricciulli; Kelvin Beleño Saenz; Carlos G. Diaz Saenz; José S. Torrecilla Velasco; Javier Jiménez-Cabas; Luis David Díaz-Charris (CISIM, 2025)