Research supervision

Current students

• Jorge Armando Jimenez Cano, Master in Computer Sciences, Tecnologico de Monterrey.
• José Anastacio Hernández Saldaña, 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.
• Alonso Vela, Ph.D. in Computer Sciences, Tecnologico de Monterrey (with Ivan Amaya as the main advisor).

Previous students

• Daniel Fernando Zambrano Gutiérrez, Automated Design of Population-based Evolutionary Algorithms for Solving Practical Engineering Problems, Ph.D. in Computer Sciences, Tecnologico de Monterrey 2025 (co-supervision with Jorge M. Cruz Duarte and Juan Gabriel Avina-Cervantes).
• María Torcoroma Benavides Robles, Development of a High-level Solver for the Pod Allocation Problem within Robotic Mobile Fulfillment Systems, Ph.D. in Computer Sciences, Tecnologico de Monterrey 2025 (co-supervision with Ivan Amaya).
• 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 (the main supervisor was 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.
• 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.