Felipe Andrés Cisternas Caneo
Doctor (c) en Ingeniería Informática. Pontificia Universidad Católica de Valparaíso
Doctor (c) en Ingeniería de la Información y del Conocimiento. Universidad de Alcalá, España
Magíster en Ciencias de la Ingeniería Informática. Pontificia Universidad Católica de Valparaíso
Magíster en Ingeniería Informática. Pontificia Universidad Católica de Valparaíso
Ingeniero Civil en Informática. Pontificia Universidad Católica de Valparaíso
Línea de investigación
Investigación centrada en el desarrollo y la aplicación de algoritmos metaheurísticos bioinspirados e híbridos, integrando técnicas de machine learning y estrategias autoadaptativas basadas en datos. Sus aplicaciones están enfocadas en la resolución de problemas complejos de optimización combinatoria y en la optimización de modelos predictivos de apoyo a la toma de decisiones en áreas críticas como la salud (smart health), el reconocimiento de emociones, la predicción de desempeño y la titulación en educación superior, la gestión del riesgo financiero, entre otras.
Asignaturas dictadas :
- Software para Ingeniería Industrial
- Modelamiento de Sistemas Informáticos
Cisternas-Caneo, F., Crawford, B., Mendoza, J., Lanza-Gutiérrez, J.M., Barrera-García, J. and Soto, R.: Chaotic Regulation of Exploration and Exploitation in Bio-Inspired Swarm Intelligence for Combinatorial Optimization. Biomimetics 11(8) 2026. https://doi.org/10.3390/biomimetics11080540
Crawford, B., Caballero, H., Astorga, G., Cisternas-Caneo, F., Becerra-Rozas, M., Baeza, A., Bernales, G., Puga, P., Giachetti, G., and Soto, R.: A Novel Binary Dream Optimization Algorithm with Data-Driven Repair for the Set Covering Problem. Biomimetics 11(3) 2026. https://doi.org/10.3390/biomimetics11030197
Figueroa-Torrez, P., Crawford, B., Durán, O., Jurado-Camacho, M., Andrade Roque, D.R., Vargas-Gutierrez, A., and Cisternas-Caneo, F.: Hybrid Nature-Inspired Optimization for the Cell Formation Problem with Machine Reliability and Alternative Routings. Biomimetics 11(6) 2026. https://doi.org/10.3390/biomimetics11060387
Figueroa-Torrez, P., Duran, O., Crawford, B., and Cisternas-Caneo, F.: Enhancing Manufacturing Cell Formation Through Availability-Based Optimization Using the Black Widow Optimizer Metaheuristic. Biomimetics 11(5) 2026. https://doi.org/10.3390/biomimetics11050294
Lazo, Y., Paz, Á., Crawford, B., Valle, C., Rodriguez-Tello, E., Soto, R., Barrera-Garcia, J., Cisternas-Caneo, F., and López Cortés, B.: Bioinspired Deep Neural Networks for Predicting Income-Reporting Discontinuities in the Chilean Student Loan Program. Biomimetics 11(2) 2026. https://doi.org/10.3390/biomimetics11020098
Paz, Á., Crawford, B., Monfroy, E., Rodriguez-Tello, E., Barrera-García, J., Cisternas-Caneo, F., Cortés, B.L., Lazo, Y., Yáñez, A., Peña Fritz, Á., and Soto, R.: Bioinspired Optimization for Feature Selection in Post-Compliance Risk Prediction. Biomimetics 11(3) 2026. https://doi.org/10.3390/biomimetics11030190
Paz, Á., Crawford, B., Monfroy, E., Rodriguez-Tello, E., Barrera-Garcıa, J., Cisternas-Caneo, F., Cortés, B.L., Lazo, Y., Yáñez, A., Peña Fritz, Á., et al.: Interpretable Binary Classification Under Constraints for Financial Compliance Modeling. Mathematics 14(3) 2026. https://doi.org/10.3390/math14030429
Yáñez, A., Crawford, B., Monfroy, E., Paz, Á., Barrera-García, J., Cisternas-Caneo, F., Peña Fritz, Á., and Soto, R.: Machine Learning for Graduation Prediction in Higher Education: A Systematic Review with a Bio-Inspired Optimization Perspective. Biomimetics 11(7) 2026. https://doi.org/10.3390/biomimetics11070512
Cisternas-Caneo, F., Crawford, B., Soto, R., Barrera-Garcıa, J., Becerra-Rozas, M., and Giachetti, G.: Exploring Chaotic Binarization Rules in the Binary Fox Optimizer for Complex Optimization Problems. SN Computer Science 6(3), 1–20, 2025. https://doi.org/10.1007/s42979-025-03758-z
Cisternas-Caneo, F., Santamera-Lastras, M., Barrera-Garcia, J., Crawford, B., Soto, R., Brante-Aguilera, C., Garcés-Jiménez, A., Rodriguez-Puyol, D., and Gómez-Pulido, J.M.: Application of Metaheuristics for Optimizing Predictive Models in iHealth: A Case Study on Hypotension Prediction in Dialysis Patients. Biomimetics 10(5) 2025. https://doi.org/10.3390/biomimetics10050314
Crawford, B., López Cortés, B., Cisternas-Caneo, F., Gómez-Pulido, J.M., Olivares, R., Soto, R., Barrera-Garcia, J., Brante-Aguilera, C., and Giachetti, G.: New Binary Reptile Search Algorithms for Binary Optimization Problems. Biomimetics 10(10) 2025. https://doi.org/10.3390/biomimetics10100653
Crawford, B., Paz, Á., Soto, R., Peña Fritz, Á., Astorga, G., Cisternas-Caneo, F., Toledo Mac-lean, C.P., Solıs-Piñones, F., Arce, J.L., and Giachetti, G.: Binary Pufferfish Optimization Algorithm for Combinatorial Problems. Biomimetics 11(1) 2025. https://doi.org/10.3390/biomimetics11010010
Crawford, B., Soto, R., Caballero, H., Astorga, G., Cisternas-Caneo, F., Solıs-Piñones, F., and Giachetti, G.: An Experimental Study of Transfer Functions and Binarization Strategies in Binary Arithmetic Optimization Algorithms for the Set Covering Problem. Mathematics 13(19) 2025. https://doi.org/10.3390/math13193129
Lazo, Y., Crawford, B., Cisternas-Caneo, F., Barrera-Garcia, J., Soto, R., and Giachetti, G.: Evolution and Trends of the Exploration–Exploitation Balance in Bio-Inspired Optimization Algorithms: A Bibliometric Analysis of Metaheuristics. Biomimetics 10(8) 2025. https://doi.org/10.3390/biomimetics10080517
Paz, Á., Crawford, B., Monfroy, E., Barrera-Garcıa, J., Fritz, Á.P., Soto, R., Cisternas-Caneo, F., and Yáñez, A.: Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review. Biomimetics 10(5) 2025. https://doi.org/10.3390/biomimetics10080517
Zúñiga-Valenzuela, P., Crawford, B., Cisternas-Caneo, F., Rodriguez-Tello, E., Soto, R., Barrera-Garcia, J., and Lepe-Silva, F.: Binary Chaotic White Shark Optimizer for the Unicost Set Covering Problem. Mathematics 13(13) 2025. https://doi.org/10.3390/math13132175
Barrera-Garcıa, J., Cisternas-Caneo, F., Crawford, B., Gómez Sánchez, M., and Soto, R.: Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications. Biomimetics 9(1) 2024. https://doi.org/10.3390/