Manuel Villalobos Cid
(+56) 2 2718 0918
Reseña
Asignaturas que imparte
PREGRADO
• Estructura de computadores
• Arquitectura de computadores
• Análisis estadístico para Ingeniería (Vespertino)
POSTGRADO
• Metaheurísticas
• Bioinformática
EDUCACIÓN CONTINUA
• Director y académico Diplomado en Ciencia de Datos Aplicada
Áreas de interés
• Informática aplicada en Biología y Medicina
• Biología computacional/ Bioinformática
• Informática aplicada a la Industria
• Manufactura Avanzada
• Informática aplicada en Biología y Medicina
• Biología computacional
• Informática aplicada a la Educación
• Informática Educativa
• Informática aplicada en Biología y Medicina
• Biología computacional
proyectos
AICaBI: Artificial Intelligence for Cancer Biomarkes Identification
A New Evolutionary Optimisation Approach to Deal With the Many-Objective Phylogenetic Inference Problem
Diseño de Modelos Multi-Objetivo para Inferencia Filogenética Considerando Fenómenos Reticulares
1.- Villalobos-Cid, M., Salinas, F., & Inostroza-Ponta, M. (2020). Total evidence or taxonomic congruence? A comparison of methods for combining biological evidence. Journal of Bioinformatics and Computational Biology, 18(06), 2050040.
2.- Villalobos-Cid, M., Salinas, F., Kessi-Pérez, E. I., De Chiara, M., Liti, G., Inostroza-Ponta, M., & Martínez, C. (2020). Comparison of phylogenetic tree topologies for nitrogen associated genes partially reconstruct the evolutionary history of Saccharomyces cerevisiae. Microorganisms, 8(1), 32.
3.- Troncoso, N., Rojo-González, L., Villalobos, M., Vásquez, Ó. C., & Chávez, H. (2019). Economic decision-making tool for distributed solar photovoltaic panels and storage: The case of Chile. Energy Procedia, 159, 388-393.
4.- Villalobos-Cid, M., Dorn, M., Ligabue-Braun, R., and Inostroza-Ponta, M. (2018). A memetic algorithm based on an NSGA-II scheme for phylogenetic tree inference. IEEE Transactions on Evolutionary Computation, 1(1):1–1
5.- Villalobos-Cid, M. , Chacon, M., Zitko, P., and Instroza-Ponta, M. (2016). A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix : How to Evaluate When There is Not DRGs? Journal of Medical Systems, 40(4):103
6.- Chabert, S., Villalobos-Cid, M. , Ulloa, P., Salas, R., Tejos, C., San Martin, S., and Pereda, J. (2012). Quantitative description of the morphology and ossification center in the axial skeleton of 20-week gestation formalin-fixed human fetuses using magnetic resonance images. Prenatal Diagnosis, 32(3):252–258
1.- Felipe-Andres Bello Robles, Manuel Villalobos-Cid, Ronney Panerai and Mario Inostroza-Ponta (2021). A multi-objective optimisation approach for the linear modelling of cerebral autoregulation system. Computational Intelligence Methods for Bioinformatics and Biostatistics.
2.- Sebastián Aliaga-Rojas, Manuel Villalobos-Cid, Marcio Dorn and Mario Inostroza-Ponta (2021). A multi-objective approach for the 3D-PSP problem. Proceedings – International Conference of the Chilean Computer Science Society, SCCC.
3.- Juan Giglio, Gabriel Gaete-Lucero and Manuel Villalobos-Cid (2021).Classification of Chileans public hospitals based on healthcare production using clustering techniques. Proceedings – International Conference of the Chilean Computer Science Society, SCCC.
4.- José Fernández Goycoolea, Manuel Villalobos-Cid, Mario Inostroza-Ponta and Mauricio Marín (2021). Single-solution based metaheuristic approach to a novel restricted clustering problem. Proceedings – International Conference of the Chilean Computer Science Society, SCCC.
5.- Medina, L.E., Villalobos-Cid, M., Alvarez, A., Chana-Cuevas, P. (2020). Design of a low-cost neuromuscular blockade monitoring device. ICIIBMS 2020 – 5th International Conference on Intelligent Informatics and Biomedical Sciences. 10.1109/ICIIBMS50712.2020.9336398
6.- Troncoso, N., Rojo-Gonzalez, L., Vasquez, O.C., (…), Chavez, H., Villalobos-Cid, M. (2020). Photovoltaic and Energy Storage Sizing Algorithm for the Chilean Distribution Tariff. Proceedings – International Conference of the Chilean Computer Science Society, SCCC. 10.1109/SCCC51225.2020.9281205
7.- Huallcca, L., Madrid, G. ., Mellado, J., Vega-Araya, D., Villalobos-Cid, M. (2020). An informatics tool for class-To-class planning and academic-load evaluation. Proceedings – International Conference of the Chilean Computer Science Society, SCCC. 10.1109/SCCC51225.2020.9281221
8.- Gonzalez, A.C., Lillo, J., Inostroza-Ponta, M., Villalobos-Cid, M. (2020). Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: A genetic algorithm approach. Proceedings – International Conference of the Chilean Computer Science Society, SCCC. 10.1109/SCCC51225.2020.9281282
9.- Rivera, C., Inostroza-Ponta, M., Villalobos-Cid, M. (2020). A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2020. 10.1109/CIBCB48159.2020.9277700
10.- Giglio, J., Inostroza-Ponta, M., Villalobos-Cid, M. (2019). A multi-objective optimisation evolutionary approach for the Multidimensional Scaling Problem. Proceedings – International Conference of the Chilean Computer Science Society, SCCC. 10.1109/SCCC49216.2019.8966433
11.- Villalobos-Cid, M., Orellana, M., Vasquez, O.C., Pinto-Sothers, E., Inostroza-Ponta, M. (2019). Dealing with the Balanced Academic Curriculum Problem considering the Chilean Academic Credit Transfer System. Proceedings – International Conference of the Chilean Computer Science Society, SCCC. 10.1109/SCCC49216.2019.8966411
12.- Morgan, C. , Barra, R. , Venegas, A. , González, C. , Villalobos-Cid, M., Constandil, L , Sáez-Briones, P. (2019). PROBENECID AYUDA A LA BAJA DE PESO EN HEMBRAS OBESAS ADULTAS BALB/C ALIMENTADAS CON DIETA NORMOCALÓRICA. Probenecid accelerates body weight loss in adult obese Balb/C female mice shifted to regular diet. Revista de Farmacología de Chile. https://www.sofarchi.cl/wp-content/uploads/Revista-SOFARCHI-A%C3%B1o-2018.pdf
13.- N. Troncoso, L. Rojo , Villalobos-Cid, M , O.C. Vásquez and H. Chávez (2018). Economic decision-making tool for distributed solar photovoltaic panels and storage: The case of Chile. In: Applied Energy Symposium and Summit 2018, Rhodes, Greece, volume 159, pages 388-393.
14.- Villalobos-Cid, M. , Dorn, M., and Inostroza-Ponta, M. (2018). Understanding the relationship between decision and objective space in the multi-objective phylogenetic inference problem. In 2018 IEEE Congress on Evolutionary Computation (CEC), volume 1, pages 1–8
15.- Villalobos-Cid, M. , Dorn, M., and Inostroza-Ponta, M. (2018). Performance comparison of multi-objective local search strategies to infer phylogenetic trees. In2018 IEEE Congress on Evolutionary Computation (CEC), volume 1, pages 1–8
16.- Villalobos-Cid, M. , Vega-Araya, M., and Inostroza-Ponta, M. (2017). Application of different multi-objective decision-making techniques in the phylogenetic inference problem. In2017 36th International Conference of the Chilean Computer Science Society (SCCC), pages 1–9
17.- Ruiz-Tagle, B., Villalobos-Cid, M. , Dorn, M., and Inostroza-Ponta, M. (2017). Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. In2017 36th International Conference of the Chilean Computer Science Society (SCCC), pages 1–12
18.- Sandoval-Soto, R., Villalobos-Cid, M. , and Inostroza-Ponta, M. (2017). Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm. In2017 36th International Conference of the Chilean Computer Science Society (SCCC), pages 1–12
