Áreas de Investigación

Machine Learning

Inteligencia Artificial

Optimización Computacional

Biografía

Ingeniero Civil Informático, Universidad de Concepción, Chile

PhD in Computer Science, Carleton University, 2011, Canadá.

Publicaciones WoS (ex ISI)

1. Cataldo, A., Astudillo, C. A., Gutiérrez-Bahamondes, J. H., González-Martínez, L., & McQueen, R. (2020). Towards an integrated maturity model of system and E-business applications in an emerging economy. Journal of Theoretical and Applied Electronic Commerce Research, 15(2), 1–14. https://doi.org/10.4067/S0718-18762020000200102
2. Pérez-Galarce, F., Candia-Véjar, A., Astudillo, C., & Bardeen, M. (2018). Algorithms for the Minmax Regret Path problem with interval data. Information Sciences, 462, 218–241. https://doi.org/10.1016/j.ins.2018.06.016
3. Hernández, D., Astudillo, C. A., Fernández-Palacios, E., Cataldo, F., Tenreiro, C., & Gabriel, D. (2018). Evolution of physical-chemical parameters, microbial diversity and VOC emissions of olive oil mill waste exposed to ambient conditions in open reservoirs. Waste Management, 79, 501–509. https://doi.org/10.1016/j.wasman.2018.08.022
4. Garriga, M., Romero-Bravo, S., Estrada, F., Escobar, A., Matus, I. A., del Pozo, A., … Lobos, G. A. (2017). Assessing wheat traits by spectral reflectance: Do we really need to focus on predicted trait-values or directly identify the elite genotypes group? Frontiers in Plant Science, 8. https://doi.org/10.3389/fpls.2017.00280
5. Gutiérrez, J. H., Astudillo, C. A., Ballesteros-Pérez, P., Mora-Melià, D., & Candia-Véjar, A. (2016). The multiple team formation problem using sociometry. Computers and Operations Research, 75. https://doi.org/10.1016/j.cor.2016.05.012
6. Maldonado, G., Astudillo, C. A., Riadi, G., & Caballero, J. (2017). Predicting the stability of human lysozyme mutants using the tree-based classifier TTOSOM. Chemometrics and Intelligent Laboratory Systems, 162. https://doi.org/10.1016/j.chemolab.2017.01.002
7. Cerpa, N., Bardeen, M., Astudillo, C. A., & Verner, J. (2016). Evaluating different families of prediction methods for estimating software project outcomes. Journal of Systems and Software, 112. https://doi.org/10.1016/j.jss.2015.10.011
8. Astudillo, C., Bardeen, M., & Cerpa, N. (2014). Editorial: Data mining in electronic commerce confidence - Support vs. Confidence. Journal of Theoretical and Applied Electronic Commerce Research. https://doi.org/10.4067/S0718-18762014000100001
9. Astudillo, C. A., & Oommen, B. J. (2013). On achieving semi-supervised pattern recognition by utilizing tree-based SOMs. Pattern Recognition, 46(1), 293–304. https://doi.org/10.1016/j.patcog.2012.07.006
10. Astudillo, C. A., & Oommen, B. J. (2014). Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations. Pattern Recognition, 47(1), 96–113. https://doi.org/10.1016/j.patcog.2013.04.012
11. Astudillo, C. A., & Oommen, B. J. (2014). Topology-oriented self-organizing maps: a survey. Pattern Analysis and Applications, 1–26. https://doi.org/10.1007/s10044-014-0367-9

Proyectos

• Investigador del proyecto Fondef “Desarrollo de una Plataforma de Fenotipeo que permita bajar costos y acelerar la liberación de cultivares en los programas de mejoramiento genético” Código ID14I20106.
• Detección automática de grooming utilizando Inteligencia Artificial (PE-2018-014). Primera Convocatoria Proyectos Exploratorios 2018, Proyecto de Ingeniería de Clase Mundial en las Universidades Estatales del Centro y Sur de Chile. Investigador Responsable, 2018.
• Red Iberoamericana de Agro-Big Data y Decision Support Systems (BIGDSSAGRO), Ciencia y Tecnologia para el Desarrollo (CYTED) -- Co-Investigator  2015-2019
• Centro de Extensionismo Logístico, Corporación de Fomento de la Producción (CORFO), Chile, Adjunct Investigator, 2017--2019 (3 years).
• FONDECYT 11121350 ``Tree-Based Pattern Recognition''. National Council of Science and Technology (CONICYT), Chile, Principal Investigator, 2012 - 2015 (3 years).