Jose Carlos Ortiz-Bayliss

Research supervision

Current students

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).
José Eduardo Zárate Aranda, Master in Computer Sciences, Tecnologico de Monterrey.
Jorge Armando Jiménez Cano, Master in Computer Sciences, Tecnologico de Monterrey.
Salvador Ernesto Pluma Sánchez, Master in Computer Sciences, Tecnologico de Monterrey (with Jesús Guillermo Falcón Cardona as the main advisor).

Previous students

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 (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.