I am currently a research professor at the Tecnologico de Monterrey, Mexico.

My research interests include soft computing applied for heuristic selection and generation for optimization and combinatorial problems.

I am interested in algorithms for pattern recognition to identify relations between problem features and solution methods. Most of my studies have focused on constraint satisfaction problems, the features to characterize them and innovative solving alternatives through hyper-heuristics. I have also found interesting the use of genetic algorithms to produce random instances of various domains for testing specific heuristics.

Autism Spectrum Disorder Detection Using a Weighted-Average Ensemble of Deep Convolutional Neural Networks on Eye-Tracking Images. Masroor Ahmed Sadam Hussain, Ivan Amaya, and Jose Carlos Ortiz-Bayliss. Machine Learning and Knowledge Extraction, 2026 [DOI].

Optimizing Microgrid Controllers for Enhanced Power Quality Using Metaheuristic Approaches. Gerardo Humberto Valencia-Rivera, Juan Gabriel Avina-Cervantes, Jose Carlos Ortiz-Bayliss, and Ivan Amaya. Applied Soft Computing, 2026 [DOI].

Holistic Urban Mobility Assessment in Urban Centers: Developing an Integrated Digital Twin Tool for Tec District. Jose Ignacio Huertas, Luisa Fernanda Chaparro Sierra, Jenny Diaz Ramirez, Alfredo Alan Flores Saldivar, Jose Carlos Ortiz-Bayliss, and Hugo Terashima Marin. Journal of Urban Management, 2026 [DOI].

Automated Design and Selection of Metaheuristics for PID Control in Power Electronics. Daniel F. Zambrano-Gutierrez, Jose Carlos Ortiz-Bayliss, Ivan Amaya, Maricela Rogriguez Nieto, Juan Gabriel Avina Cervantes, and Jorge M. Cruz Duarte. IEEE Access, 2026 [DOI].

Enhancing Cancer Drug Discovery: QSAR Modeling with Machine Learning and Chemical Representations. Raul Acosta Murillo, Patricio Adrian Zapata Morin, and Jose Carlos Ortiz-Bayliss. PLOS One, 2026 [DOI].

Heuristic Selection through Neural Networks: An Extended Analysis on the Pod Allocation Problem within Robotic Mobile Fulfillment Systems. Maria Torcoroma Benavides-Robles, Ivan Amaya, and Jose Carlos Ortiz-Bayliss. Neural Computing and Applications, 2026 [DOI|Free access].