Research supervision

Current students

• Luis Alfonso Rojo Sanchez, Master in Computer Sciences, Tecnologico de Monterrey.
• Hugo Abel Moreno Rodriguez, Master in Computer Sciences, Tecnologico de Monterrey.
• Armando Antonio Acosta Flores, Master in Computer Sciences, Tecnologico de Monterrey (with Jesús Guillermo Falcón Cardona as the main advisor).
• Jorge Armando Jimenez Cano, Master in Computer Sciences, Tecnologico de Monterrey.
• Salvador Ernesto Pluma Sanchez, Master in Computer Sciences, Tecnologico de Monterrey (with Jesús Guillermo Falcón Cardona as the main advisor).
• José Anastacio Hernández Saldaña, Ph.D. in Computer Sciences, Tecnologico de Monterrey (co-supervision with Jorge Mario Cruz Duarte).
• Daniel Fernando Zambrano Gutiérrez, Ph.D. in Computer Sciences, Tecnologico de Monterrey (co-supervision with Jorge Mario Cruz Duarte).
• Masroor Ahmed, Ph.D. in Computer Sciences, Tecnologico de Monterrey.
• María Torcoroma Benavides Robles, Ph.D. in Computer Sciences, Tecnologico de Monterrey (co-supervision with Ivan Amaya).
• Alonso Vela, Ph.D. in Computer Sciences, Tecnologico de Monterrey (with Ivan Amaya as the main advisor).
• Guillermo Arturo Martinez Mascorro, Ph.D. in Computer Sciences, Tecnologico de Monterrey (with Hugo Terashima-Marin as the main advisor).

Previous students

• José Eduardo Zarate Aranda, Exploring Cellular Automata to Power Hyper-heuristics for the Knapsack Problem, Master in Computer Sciences, Tecnologico de Monterrey, 2024.
• Jose Ricardo Abreu Pederzini, Extracting the Embedded Knowledge in Class Visualizations from Artificial Neural Networks for Applications in Dataset and Model Compression and Combinatorial Optimization, Ph.D. in Computer Sciences, Tecnologico de Monterrey, 2023 (co-supervision with Hugo Terashima Marin).
• Eduardo Angulo Martinez, Coevolution meets Hyper-heuristics: a Cooperative Co-evolutionary Algorithm to Produce Hyper-heuristics for Solving the 0/1 Knapsack Problem, Master in Computer Sciences, Tecnologico de Monterrey, 2023 (co-supervision with Edgar Covantes Osuna).
• Cesar Alejandro Pozo Luyo, Performance Evaluation of a Machine Learning Pipeline Architecture for PM2.5 Air Quality Forecasting in the Monterrey Metropolitan Area, Master in Computer Sciences, Tecnologico de Monterrey, 2023.
• Leonardo Francisco Garrafa Pacheco, Introducing Sequence-based Hyper-heuristics with Multiple Points of Interpretation, Master in Computer Sciences, Tecnologico de Monterrey, 2023.
• Alonso Vela Morales, Beyond Hyper-Heuristics: Squared Hyper-Heuristics for solving Job Shop Scheduling Problems, Master in Computer Sciences, Tecnologico de Monterrey (with Ivan Amaya as the main advisor), 2021.
• Erick Lara Cárdenas, Exploring Selection and Generation Hyper-heuristic Approaches for the Job Shop Scheduling Problem, Master in Computer Sciences, Tecnologico de Monterrey, 2020.
• Cesar Leonardo Clemente Lopez, Predicting Influenza in Latin America: Using Voting Ensembles to Combine Google Search Activity and Geo-spatial Synchronicities from Historical Flu Activity, Master in Computer Sciences, Tecnologico de Monterrey, 2019.
• Xavier Fernando Cuauhtémoc Sánchez Díaz, Analysis of a Feature-independent Hyper-heuristic Model for Constraint Satisfaction and Binary Knapsack Problems, Master in Computer Sciences, Tecnologico de Monterrey (with Hugo Terashima-Marin as the main advisor), 2017.