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Investigación

Líneas de investigación

En el área de postgrado, el Departamento de Informática desarrolla investigación en tres líneas de investigación

Xavier Bonnaire

Xavier Bonnaire

Doctor en Informática, Université Pierre Et Marie Curie, Francia.

Contacto: xavier.bonnaire@inf.utfsm.cl

Oficina: F-232 Casa Central USM

Lioubov Dombrovskaia

Lioubov Dombrovskaia

Doctor en Ciencias de la Ingeniería, PUC, Chile.

Contacto: liuba@inf.utfsm.cl

Oficina: K-603 San Joaquín USM

Raúl Monge

Raúl Monge

Dr.-Ing., Computer Science, FAU Erlangen-Nürnberg.

Contacto: raul.monge@inf.utfsm.cl

Oficina: F-230 Casa Central USM

Marcello Visconti

Marcello Visconti

Doctor en Ciencias de la Computación, Oregon State Universit, Corvallis, Oregón, Estados Unidos.

Contacto: marcello.visconti@inf.utfsm.cl

Oficina: K-523 San Joaquín USM

Roberto Asín

Roberto Asín

Doctor, Universitat Politécnica, Catalunya, Programa de Software.

Contacto: roberto.asin@usm.cl

Oficina: K-602 San Joaquín USM

Carlos Castro

Carlos Castro

Doctor en Informática, Universidad Henri Poincaré, Francia.

Contacto: carlos.castro@inf.utfsm.cl

Oficina: F-216 Casa Central USM

Elizabeth Montero

Elizabeth Montero

Doctora en Informática, Université Nice-Sophia Antipolis, Francia

Contacto: elizabeth.montero@usm.cl

Oficina: F-313 Casa Central USM

María Cristina Riff

María Cristina Riff

Doctora en Ciencias, especialidad Matemáticas e Informática, Ecole National des Ponts et Chaussées, Paris, Francia.

Contacto: maria-cristina.riff@inf.utfsm.cl

Oficina: F-224 Casa Central USM

Ricardo Ñanculef

Ricardo Ñanculef

Post-Doctorado, Laboratorio de Sistemas Inteligentes, Universidad de Bristol, Reino Unido.

Contacto: ricardo.nanculef@usm.cl.

Oficina: K-522 San Joaquín USM

Daniela Opitz

Daniela Opitz

Doctora en Física, University of New South Wales, Australia.

Contacto: daniela.opitz@usm.cl

Oficina: K-605 San Joaquín USM

Raquel Pezoa

Raquel Pezoa

Doctora en Ingeniería Informática, Universidad Técnica Federico Santa María, Chile.

Contacto: raquel.pezoa@usm.cl

Oficina: F-312 Casa Central USM

Nicolás Rojas

Nicolás Rojas

Ph.D in Computer Science, Computer Science, Universidad Técnica Federico Santa María, Chile.

Contacto: nicolas.rojasm@usm.cl

Oficina: F-311 Casa Central USM

Roberto León

Roberto León

Doctor en Ingeniería Informática, Universidad Técnica Federico Santa María, Chile.

Contacto: roberto.leon@usm.cl

Oficina: K-601 San Joaquín USM

Claudio Lobos

Claudio Lobos

Doctor en Modelos, Métodos y Algoritmos en Biología, Salud y Medioambiente, Université Joseph Fourier, Francia.

Contacto: claudio.lobos@inf.utfsm.cl

Oficina: K-607 San Joaquín USM

Andrés Moreira

Andrés Moreira

Post-Doctorado, Laboratorio TIMC (Instituto de Informática y Matemáticas Aplicadas de Grenoble), Francia.

Contacto: andres.moreira@inf.utfsm.cl

Oficina: K-611 San Joaquín USM

Carolina Saavedra

Carolina Saavedra

Doctora en Informática, Institut National de Recherche en Informatique et en Automatique (INRIA), Francia.

Contacto: carolina.saavedra@inf.utfsm.cl

Oficina: F-124 Casa Central USM

Mauricio Solar

Mauricio Solar

Doctor en Computación y Sistemas, Universidad Federal de Río de Janeiro, Brasil.

Contacto: mauricio.solar@inf.utfsm.cl

Oficina: K-606 San Joaquín USM

Julio Sotelo

Julio Sotelo

Doctorado en Ciencias de la Ingeniería, Pontificia Universidad Católica de Chile, Chile.

Contacto: julio.sotelo@inf.utfsm.cl

Oficina: K-521 San Joaquín USM

Claudio Torres

Claudio Torres

Ph.D. in Applied Mathematics, University of Delaware, Estados Unidos.

Contacto: claudio.torres@inf.utfsm.cl

Oficina: F-222 Casa Central USM

Infraestructura

Ubicación: F310 | Tercer Piso Edificio F

Da soporte a actividades de investigación y postgrado del Departamento de Informática en Casa Central. Cuenta con un total de 17 Pcs, modelo MAC de 21, 5 pulgadas, 2 estaciones de trabajo con capacidad para 4 estudiantes cada una. Existen 8 cubículos individuales, para profesores visitantes y alumnos del programa. Una oficina de la Secretaría de Investigación y Postgrado también equipada con tecnología MAC, además de su propia impresora multifuncional. Este laboratorio cuenta con mesa de reuniones para 10 personas, 1 impresora multifuncional para uso de los alumnos, 1 pizarra, 1 proyector, 1 telón, área de cafetería y de descanso.

Ubicación: B046 | Primer Piso Edificio B 

Da soporte a actividades de investigación y postgrado del Departamento de Informática en Campus San Joaquín. Cuenta con tres islas de trabajo con capacidad para cuatro estudiantes cada una. Además hay cuatro puestos adicionales para uso con notebooks personales. Se dispone de cafetera, impresora multifuncional, lockers, pizarras, revisteros y área de descanso.

Director: Dr. Mauricio Solar

Descripción: Grupo de investigación operando desde el año 2009. Trabaja en la investigación y docencia en temas tales como Astroinformática y Observatorios Virtuales. Integra tecnologías al Atacama Large Millimeter/subMillimeter Array Observatory (ALMA) y mantiene el observatorio virtual Chileno (ChiVO).

Más información en: www.chivo.cl

Proyectos

  1. Millennium Institute for Intelligent Healthcare Engineering – iHEALTH.
    ANID – Millennium Science Initiative Program ICN2021_004, 2022-2031
    Investigador Adjunto: Julio Sotelo
  2. Novel mathematical methods towards stable non-invasive estimation in viscoelastic tissues: Applications and validations using multifrequency ultrasound elastography.
    ANID- FONDECYT 1230864, 2023-2026
    Co-Investigador: Julio Sotelo
  3. Automatic design of metaheuristic algorithms with learning
    FONDECYT Regular 1230365, 2023-2025
    Investigadora Responsable: Elizabeth Montero
  4. Cuantificación automática de densidad mamaria usando Inteligencia Artificial, como herramienta de apoyo en pesquisa de cáncer mamario: mamAI-dens
    ANID- FONDEF IT23I0040, 2023-2025
    Co-Investigador: Julio Sotelo
  5. Futures of Artificial Intelligence
    ANID, 2022-2025
    Investigadora Principal: Claudia López
  1. A two-stage computational approach based on a fragment-based drug design strategy for obtaining high-quality protein inhibitors
    Proyecto Interno, UTFSM, 2023-2024
    Investigador Principal: Roberto Leon
  2. Interoperable Repository for intelligent analysis of medical images
    FONDEF IDEA N° IT21I0019, 2022-2024
    Director Alterno y PI: Mauricio Solar
  3. Emergent Computing for Dynamic Combinatorial Problems
    FONDECYT N° 1200126, 2020-2024
    Investigadora: María Cristina Riff
  4. Design and implementation of a datacenter for astroinformatics
    CASSACA (Chinese Academy of Sciences South America Center for Astronomy), 2015-2024
    Director y PI: Mauricio Solar
  1. Meta-algorithmic strategies for improving heuristics-based search algorithms.
    FONDECYT Nº 1151456, 2020-2023
    Investigadora: María Cristina Riff
  2. Deep-Learning-Atlas-Based method to optimize the postprocessing and evaluation of cardiovascular index and biomarkers from magnetic resonance imaging
    FONDECYT 11200481, 2020-2023
    Investigador Responsable: Julio Sotelo
  1. Sistema de inteligencia artificial para el apoyo en el diagnóstico y priorización de exámenes mamográficos. Universidad de Valparaiso.
    FONDEF I+D ID20i10332, 2020-2022
    Co-Investigador: Julio Sotelo
  2. Sistema inteligente para la tele-rehabilitación de pacientes cardiovasculares
    Escuela de Ing. Civil Biomédica, Universidad de Valparaíso
    FONDEF IDEA I+D ID19I10356, 2019-2022
    Investigadora Principal: Carolina Saavedra
  3. Developing a research and teaching agenda about social computing
    ACM, 2019-2022
    Investigadora Principal: Claudia López
  4. Strengthening Governance Capacity for Smart Sustainable Cities/s2CityGov
    ERASMUS+ (European fund), 2018-2022
    Investigador Principal: Mauricio Solar
  1. Latin American Conference on Human-Computer Interaction
    ACM-SIGCHI, 2021
    Investigadora Principal: Claudia López
  2. Serendipia para recomendación equitativa en mercados digitales: Aplicación en asociatividad entre micro-emprendimientos de mujeres en tiempos de pandemia
    ANID, 2020-2021
    Investigadora Principal: Claudia López
  3. Repositorio de información interoperables para la minería de datos en la industria de la salud
    FONDEF ID19110023, 2019-2021
    Director y PI: Mauricio Solar
  4. Núcleo interdisciplinario para desarrollo de fármacos: diseño computacional, síntesis y evaluación biológica de antitumorales inhibidores de HSP90
    Núcleo Regular, UNAB, 2018-2021
    Co-Investigador: Roberto León

 

  1. A systematic study of the class imbalance problem in deep learning for classification of high energy physics data
    FONDECYT postdoctorado N° 3190740, 2019–2020
    Investigadora postdoctoral: Raquel Pezoa
  2. New EEG Clustering Methods for Pre-clinical and Clinical Applications.
    Escuela de Ing. Civil Biomédica, Universidad de Valparaíso
    REDI-CONICYT No 170367, 2017-2020
    Investigadora Principal: Carolina Saavedra
  3. Distributed SAT And MaxSAT For Combinatorial Optimization
    FONDECYT 11121220, 2020
    Investigador Principal: Roberto Asín
  1. Analysis of digital pathology images using convolutional neural networks
    Financiamiento Interno CCTVAL, 2019
    Investigadora responsable: Raquel Pezoa

Publicaciones

  1. Providel, E.; Mendoza, M.; Solar, M.; 2025; Cross-Lingual Cross-Domain Transfer Learning for Rumor Detection; Future Internet; 17, 287. 10.3390/fi17070287
  2. Apablaza, I. Oyarzun-Rojas, I. Rossi, M. Solar; 2025; Avances en los algoritmos genéticos cuánticos mejorados: métodos, impacto y desafíos futuros; DYNA; 10.52152/D11434
  3. Farias, G. Damke, M. Solar, M. Jaque Arancibia; 2025; Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging; Universe; 10.3390/universe11020073
  4. Hidalgo, M., Yanine, F., Paredes, R., Frez, J., Solar, M.; 2025; What Is the Process? A Metamodel of the Requirements Elicitation Process Derived from a Systematic Literature Review; Processes; 2227-9717; 10.3390/pr13010020
  5. Humeres, M., Cotoras, D., Moretti, R., Oyarzún-Merino, I., Correa, T., López, C.; 2025; Cooling-Down AI Regulation Controversies: Three Closure Processes in the Chilean Legislative Arena; Big Data & Society; 2053-9517; 10.1177/20539517241311067
  6. Nuñez-Fernández, H. Farias, M. Solar; 2025; Content-Based Histopathological Image Retrieval; Sensors;  25(5), 1350; 10.3390/s25051350
  1. Ait Ali L., Martini N., Listo E., Valenti E., Sotelo J., Salvadori S., Passino C., Monteleone A., Stagnaro N., Trocchio G., Marrone C., Raimondi F., Catapano G., Festa P.; 2024; Impact of 4D- Flow CMR parameters on functional evaluation of Fontan circulation; Pediatric Cardiology; 0172-0643/1432-1971; 10.3390/pr13010020
  2. Arriagada-Bruneau, G., López, C., Davidoff, A.; 2024; A bias network approach (BNA) to encourage ethical reflection among AI developers; Science and Engineering Ethics; 1471-5546; 10.1007/s11948-024-00526-9
  3. Asín‐Achá R., Espinoza A., Goldschmidt O., Hochbaum D. S. , Huerta I.; 2024; Selecting fast algorithms for the capacitated vehicle routing problem with machine learning techniques; Networks; 0028-3045/1097-0037; 10.3390/pr13010020
  4. Cantor, E., Guauque-Olarte, S., León, R., Chabert, S., Salas, R. ; 2024; Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data; BioData Mining; 1756-0381; 10.1007/s10994-024-06710-z
  5. Dombrovskaia, L., Riveros, E., Rodríguez, P.; 2024; Analysis of trajectories of students in higher technical-professional education using data mining methods; 2024 43rd Int. of the Chilean Computer Science Society (SCCC); 2691-0632; 10.1109/SCCC63879.2024.10767663
  6. Dombrovskaia, L., Miranda, V., Carrillo, D.; 2024; Gender Approach in the Perception of the University Climate in Informatics Engineering Program; 2024 43rd Int. of the Chilean Computer Science Society (SCCC); 2691-0632; 10.1109/SCCC63879.2024.10767638
  7. Dumont, F., Riff, M.; 2024; 2-Step Evolutionary Algorithm for the generation of dungeons with lock door missions using horizontal symmetry; Proc. of the Genetic and Evolutionary Computation Conf.; 979-8-4007-0494-9; 10.1145/3638529.3654153
  8. Figueroa A. , Riff M.C, Montero E.; 2024; Robots in Partially Known and Unknown Environments: A Simulated Annealing Approach for Re-Planning; Applied Sciences-Basel; 2076-3417; 10.3390/app142210644
  9. Fuentes, A., Solar, M.; 2024; Synthetic light curves of exoplanet transit using nanosatellite data; Astronomy and Computing; 2213-1337; 10.1016/j.ascom.2024.100816
  10. García, J., Castro, C., Valle, C.; 2024; Ensemble Approach to Adaptable Behavior Cloning for a Fighting Game AI; Lecture notes in computer science; 978-3-031-76607-7; 10.1007/978-3-031-76607-7_2
  11. Gonzalez-Pizarro, F., Lopez, C., Vasquez, A., Castro, C.; 2024; Inequalities in Computational Thinking Among Incoming Students in an STEM Chilean University; IEEE Transactions on Education; 0018-9359; 10.1109/TE.2023.3334193
  12. Goyo, M. A., Ñanculef, R., Valle, C.; 2024; InverseTime: A self-supervised technique for semi-supervised classification of time series; IEEE Access; 2169-3536; 10.1109/access.2024.3486669
  13. Jara, S. , Salas, R., Nanculef, R., Valverde, I., Uribe, S., Sotelo, J.; 2024; Prediction of Peak-to-Peak Pressure Gradient in Patients with Aortic Coarctation Using Physics-Informed Neural Networks; Proc. – 2024 50th Latin American Computing Conf., CLEI; 979-833154097-5; 10.1109/CLEI64178.2024.10700502
  14. León, R., Miranda-Gonzalez, P. A., Tapia-Ubeda, F. J., Olivares-Benitez, E. ; 2024; An Inventory Service-Level Optimization Problem for a Multi-Warehouse Supply Chain Network with Stochastic Demands; Mathematics; 2227-7390; 1109/access.2024.3486669
  15. Loayza, R. Ñanculef, R. Trujillo-Guiñez; 2024; Spectral recovery via spectral-aware perceptual loss; 2024 Int. on Machine Learning and Applications (ICMLA); 1946-0759; 10.1109/ICMLA61862.2024.00195
  16. López, C., Davidoff, A., Luco, F., Humeres, M., Correa, T.; 2024; Users’ Experiences of Algorithm-Mediated Public Services: Folk Theories, Trust, and Strategies in the Global South; Int. Journal of Human-Computer Interaction; 1044-7318; 10.1080/10447318.2024.2356910
  17. López R., Asín Achá R., Baier J. A.; 2024; A New Upper Bound for the Makespan of Cost-Optimal Solutions for Multi-Agent Path Finding; Proc. of the Int. Symposium on Combinatorial Search; 10.1002/net.22244
  18. Maldonado, J, Riff, M.C.; 2024; An evolutionary wrapper to support intrusion detection system configuration; Computers & Security; 10.1016/j.cose.2025.104478
  19. Mallea, M., Ñanculef, R., Araya, M.; 2024; Intramodal consistency in triplet-based cross-modal learning for image retrieval; Machine Learning; 1573-0565;  10.1007/s10994-024-06710-z
  20. Mallea, R. Ñanculef, D. Parra; 2024; Adversarial pairwise multimodal recommendation; 2024 Int. Joint Conf. on Neural Networks (IJCNN); 2161- 4407; 10.1109/IJCNN60899.2024.10650977
  21. Marrero L., Cruz P., Solar M.; 2024; Toward a Readiness Assessment Model for Technology Adoption in Small and Medium Agricultural Industry; Proc. of 9th Int. Congress on Information and Communication Technology ; 2367-3370; 10.1007/978-981-97-3562-4_17
  22. Marrero, L., Cruz, P., Visconti, M., Solar, M.; 2024; Technology Adoption Readiness Assessment in an Agricultural Setting: A Case Study; 2024 43rd Int. of the Chilean Computer Science Society (SCCC); 2691-0632; 10.1109/SCCC63879.2024.10767669
  23. Martin, D. S., Torres, C. E.; 2024; A GPU Numerical Implementation of a 2D Simplified Wildfire Spreading Model; Communications in computer and information science; 1865-0937; 10.1007/978-3-031-52186-7_9
  24. Neirz, P., Allende, H., Saavedra, C.; 2024; Attribute Relevance Score: A Novel Measure for Identifying Attribute Importance; Algorithms; 1999-4893; 10.3390/a17110518
  25. Orellana, C., Cereceda-Balic, F., Solar, M., Astudillo, H.; 2024; Enabling Design of Secure IoT Systems with Trade-Off-Aware Architectural Tactics; Sensors; 1424-8220; 10.3390/s24227314
  26. Pezo C., Hochbaum D. S., Godoy J., Asín Achá R. J.; 2024; Automatic algorithm selection for Pseudo-Boolean optimization with given computational time limits; Computers & operations research; 0305-0548/1873-765X; 10.3390/s24227314
  27. Riveros, M., Rojas-Morales, N., Montero, E., Ochoa, G.; 2024; Understanding Search Trajectories in Parameter Tuning; Proc. of the 2024 Genetic and Evolutionary Computation Conf.; 9798400704949; 10.1145/3638529.3654146
  28. Roberts, I., Araya, M., Ñanculef, R., Mallea, M.; 2024; Recovering latent hierarchical relationships in image datasets through hyperbolic embeddings.; Lecture notes in computer science; 978-3-031-76607-7; 10.1007/978-3-031-76607-7_7
  29. Salas, J. S. Castro, M. Querales, C. Saavedra, C. Prieto, S. Chabert; 2024; Multilabel Classification of Intracranial Hemorrhages Using a Deep Learning Framework with Image Preprocessing on Non-Contrast CT Images; 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, Nov. 26–29, 2024, Proc., Part II pages 175-190;  1611-3349;
  30. Salinas-Pinto, B. Alvarado-Ulloa, D. Hochbaum, M. Francia-Carraminana, Nanculef, R. Asın-Achá; 2024; Text-based feature-free automatic algorithm selection; Proc. of the 16th Int. Joint Conf. on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2024); 2184-3228; 10.5220/0012913700003838
  31. Sandoval, A.P., Fuentes, R.S., Flores, J.G., Arancibia, S.U., Parraguez, J.S.; 2024; Segmentation of 4D Flow MR image obtained by Cardiovascular Magnetic Resonance Imaging; 2024 IEEE Int. Conf. on Automation/26th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2024; 979-835037811-5; 10.1109/ICA-ACCA62622.2024.10766455
  32. Sandoval, A.P., Fuentes, R.S., Flores, J.G., Arancibia, S.U., Parraguez, J.S.; 2024; Automation of 4D Flow MR Image Processing Obtained by Cardiovascular Magnetic Resonance Imaging; Proc. – 2024 50th Latin American Computing Conf. CLEI; 979-833154097-5; 10.1109/CLEI64178.2024.10700580
  33. Solar, M.; Aguirre, P.; 2024; Deep learning techniques to process 3D chest CT; Journal of Universal Computer Science; 0948-695X; 10.3897/jucs.112977
  34. Solar, M., Araya, M., Ñanculef, R., Dombrovskaia, L., Castaneda, V., Roberts, I.; 2024; ALPACS: Interoperable Repository of Medical Images; 2024 L Latin American Computer Conf. (CLEI); 2771-5752; 10.1109/CLEI64178.2024.10700554
  35. Solar, M., Castañeda, V., Ñanculef, R., Dombrovskaia, L., Araya, M.; 2024; A Data Ingestion Procedure towards a Medical Images Repository; Sensors; 1424-8220; 10.3390/s24154985
  36. Solar M., Figueroa V., Manriquez F., Pizarro F., Dombrovskaia L.; 2024; Quantum Implementation of a Genetic Algorithm; Memoria Investigaciones en Ingeniería; 2301-1106; 10.36561/ING.27.14
  37. Solar, M., Villacura, J.P., Cisternas, F., Dombrovskaia, L.; 2024; A Review on Quantum Machine Learning and Quantum Cryptography; Memoria Investigaciones en Ingeniería; 2301-1106; 10.36561/ING.27.12
  38. Troncoso-Duque, S., Montero, E., Menares, F.; 2024; A Bi-objective A* minimizing travel times and failure rates; Proc. of the LACCEI Int. Multi-conf. for Engineering, Education and Technology, 2024; 24146390; 10.18687/LACCEI2024.1.1.885
  39. Valentín-Macaya, R., Montero, E., Blazquez, C.; 2024; A Heuristic Approach to the Household Waste Collection Problem | Un Acercamiento Heurístico para el Problema de Recolección de Residuos Domiciliarios Puerta-a-Puerta; Proc. of the LACCEI Int. Multi-conf. for Engineering, Education and Technology, 2024; 24146390; 10.18687/LACCEI2024.1.1.347
  40. Vasquez-Salgado J., Figueroa R., Sotelo J., Villalobos-Cid M.; 2024; Biomedical engineering research in Chilean universities – A bibliometric analysis;  IEEE Latin America Transactions; 1548-0992/1548-0992;  
  41. Villacura, J.P., Solar, M., Cisternas, F., Dombrovskaia, L.; 2024; Detecting a Spy with Quantum Cryptography; Memoria Investigaciones en Ingeniería; 2301-1106; 10.36561/ING.27.13
  42. Zapata A., Godoy J., Asín Achá R. J.; 2024; Anytime Automatic Algorithm Selection for the Multi-Agent Path Finding Problem; IEEE Access; 2169-3536/2169-3536; 10.36561/ING.27.13
  1. Araya-Rocha, D., Salas, R., Weinstein, A., Saavedra, C.; 2023; Movements acquisition based on the Archimedean Spiral Test using Leap Motion Controller; Proc. of SPIE – The Int. Society for Optical Engineering; 0277786X; 10.1117/12.2669906
  2. Becerra-Rozas, M., Lemus-Romani, J., Cisternas-Caneo, F., Crawford, B., Soto, R., Astorga, G., Castro, C., García, J.; 2023; Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review; Mathematics; 2227-7390; 10.3390/math11010129
  3. Bissell, M.M., Raimondi, F., Ait Ali, L., …, Wieben, O., Dyverfeldt, P.; 2023; 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update; Journal of Cardiovascular Magnetic Resonance; 1097-6647/1532-429X;  
  4. Blazquez, C.A., León, R., Delgado, L.; 2023; Towards a Topological Map-Matching Algorithm for Solid Waste Collection Systems; Proc. of the 9th Int. Conf. on Vehicle Technology and Intelligent Transport Systems (VEHITS 2023); 2184-495X; 10.5220/0011854100003479
  5. Bórquez, S., Pezoa, R., Salinas, L., Torres, C. E.; 2023; Uncertainty estimation in the classification of histopathological images with HER2 overexpression using Monte Carlo Dropout; Biomedical Signal Processing and Control; 1746-8094; 10.1016/j.bspc.2023.104864
  6. Cavieres, E., Tejos, C., Salas, R., Sotelo, J.; 2023; Automatic Segmentation of brain tumor in multi-contrast magnetic resonance using deep neural network; Proc. of SPIE – The Int. Society for Optical Engineering; 0277786X/978-151066254-4; 10.1117/12.2670375
  7. Ceja-Cruz, E.M., Menchaca-Mendez, A., Montero, E., Zapotecas-Martinez, S.; 2023; An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistic; IEEE Congress on Evolutionary Computation, CEC 2023; 9798350314588; 10.1109/CEC53210.2023.10253992
  8. Crawford, B., Cisternas-Caneo, F., Sepúlveda, K., Soto, R., Paz, Á., Peña, A., De La Barra, C. L., Rodriguez-Tello, E., Astorga, G., Castro, C., Johnson, F., Giachetti, G.; 2023; B-PSA: A Binary Pendulum Search Algorithm for the Feature Selection Problem; Computers; 2073-431X; 10.3390/computers12120249
  9. Crawford, B., Cisternas-Caneo, F., Sepulveda, K., Soto, R., Paz, A., Peña, A., León de la Barra, C., Rodriguez-Tello, E., Astorga, G., Castro, C., Johson, F., Giachetti, G., Peña Jaramillo, E., Alberti-Villalobos, P.; 2023; Pendulum Motion Based Optimization Algorithm To Solve The Feature Selection Problem; 2023 XLIX Latin American Computer Conf. (CLEI); 2771-5752; 10.1109/CLEI60451.2023.10346127
  10. Diaz, J., Lobos, C., Hitschfeld-Kahler, N; 2023; Node-Based Data Structure for Balancing Process Optimization of Quadtree Meshes; 2023 42nd IEEE Int. of the Chilean Computer Science Society (SCCC); 2691-0632; 10.1109/SCCC59417.2023.10315743
  11. Gill, H., Fernandes, J.F., Nio, A., … Rhode, K., Lamata, P.; 2023; Aortic Stenosis: Haemodynamic Benchmark and Metric Reliability Study; Journal of Cardiovascular Translational Research; 1937-5387/1937-5395;  
  12. Gil, A. F., Lalla-Ruiz, E., Sánchez, M. G., & Castro, C.; 2023; The cumulative vehicle routing problem with time windows: models and algorithm; Annals of Operations Research; 0254-5330; 10.1007/s10479-022-05102-7
  13. Godoy, E., Chabert, S., Querales, M., … Ferreira, R., Salas, R.; 2023; A Named Entity Recognition framework using Transformers to identify relevant clinical findings from mammographic radiological reports; Proc. of SPIE – The Int. Society for Optical Engineering; 0277786X/978-151066254-4; 10.1117/12.2670228
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  34. Vega, E., Soto, R., Crawford, B., Peña, J., Castro, C.; 2021; A learning-based hybrid framework for dynamic balancing of exploration-exploitation: Combining regression analysis and metaheuristics; Mathematics; 2227-7390; 10.3390/math9161976
  35. Velázquez, Y.M., López, C., Lugo, L.S.G., Prietch, S., Hourcade, J.P., Loaiza, C.R., Pagno, C.P., Ortiz, M.A.R.; 2021; A Message from the CLIHC 2021 organizing committee ACM Int. Conf. Proc. Series, 2021, pp. VII, 3488392.fm; ACM Int. Conf. Proc. Series, art. no. 3488392.fm, p. VII. DOI
    1109/SCCC57464.2022.10000387; 978-1-4503-8489-6;  
  36. Warmerdam, E.G., Van Assen, H.C., Sotelo, J., Grotenhuis, H.B.; 2021; Abnormal vortex formation in the right pulmonary artery after the arterial switch operation; European Heart Journal – Case Reports; 2514-2119;  
  1. Blazquez, C.A., Montero, E.; 2020; Spatial and aspatial clustering analysis of PM2.5 concentrations in Temuco, Chile using mobile measurements; Proc. of the LACCEI Int. Multi-conf. for Engineering, Education and Technology, 2020; 24146390; 18687/LACCEI2020.1.1.528
  2. Burris, N.S., Nordsletten, D.A., Sotelo, J.A., … Uribe, S., Patel, H.J.; 2020; False lumen ejection fraction predicts growth in type B aortic dissection: Preliminary results; European Journal of Cardio-thoracic Surgery; 1010-7940/1873-734X;  
  3. Canales, D., Rojas-Morales, N., Riff, M.-C.; 2020; A Survey and a Classification of Recent Approaches to Solve the Google Machine Reassignment Problem; IEEE Access; 2169-3536/2169-3536; 10.1109/ACCESS.2020.2993563
  4. Castro, J.S., Chabert, S., Saavedra, C., Salas, R.; 2020; Convolutional neural networks for detection intracranial hemorrhage in CT images; CEUR Workshop Proc.; 16130073;-
  5. Cifuentes, C. D., Riff, M. C.; 2020; G-CREM: A GRASP approach to solve the container relocation problem for multibays; Applied Soft Computing; 1568-4946; 10.1016/j.asoc.2020.106721
  6. Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., De La Parra, S. M., Peña-Fritz, A., Valenzuela, M., García, J., De La Fuente-Mella, H., Castro, C., Paredes, F.; 2020; Investigating the Efficiency of Swarm Algorithms for Bridge Strengthening by Conversion to Tied-Arch: A Numerical Case Study on San Luis Bridge; Iranian Journal of Science and Technology – Transactions of Civil Engineering; 2364-1843; 10.1007/s40996-020-00531-5
  7. Crawford, B., Soto, R., Olivares, R., Embry, G., Flores, D., Palma, W., Castro, C., Paredes, F., Rubio, J.; 2020; A binary monkey search algorithm variation for solving the set covering problem; Natural Computing; 1567-7818; 10.1007/s11047-019-09752-8
  8. Crawford, B., Soto, R., Palma, W., Aballay, F., Astorga, G., Lemus-Romani, J., Misra, S., Castro, C., Paredes, F., Rubio, J.; 2020; A teaching-learning-based optimization algorithm for the weighted set-covering problem; Tehnicki Vjesnik; 1330-3651; 10.17559/tv-20180501230511
  9. Dombrovskaia, L., del Rio, J., Rodriguez, P.; 2020; Prediction of student’s retention in first year of engineering program at a technological chilean university; 2020 39th Int. of the Chilean Computer Science Society (SCCC); 978-1-7281-8328-2; 10.1109/SCCC51225.2020.9281195
  10. Duprez, M., Bordas, S. P. A., Bucki, M., Bui, H. P., Chouly, F., Lleras, V., Lobos, C., Lozinski, A., Rohan, P., Tomar, S.; 2020; Quantifying discretization errors for soft tissue simulation in computer assisted surgery: A preliminary study; Applied Mathematical Modelling; 0307-904X; 10.1016/j.apm.2019.07.055
  11. Dux-Santoy, L., Guala, A., Sotelo, J., … Evangelista, A., Rodríguez-Palomares, J.F.; 2020; Low and Oscillatory Wall Shear Stress Is Not Related to Aortic Dilation in Patients With Bicuspid Aortic Valve: A Time-Resolved 3-Dimensional Phase-Contrast Magnetic Resonance Imaging Study; Arteriosclerosis, Thrombosis, and Vascular Biology/Arteriosclerosis and Thrombosis; 1079-5642/1524-4636;  
  12. Dux-Santoy, L., Guala, A., Sotelo, J., … Evangelista, A., Rodríguez-Palomares, J.F.; 2020; Response by Dux-Santoy et al to Letter Regarding Article, “Low and Oscillatory Wall Shear Stress Is Not Related to Aortic Dilation in Patients With Bicuspid Aortic Valve: A Time-Resolved 3-Dimensional Phase-Contrast Magnetic Resonance Imaging Study”; Arteriosclerosis, Thrombosis, and Vascular Biology/Arteriosclerosis and Thrombosis; 1079-5642/1524-4636;  
  13. Farias, H., Ortiz, D., Damke, G., Arancibia, M. J., Solar, M.; 2020; Mask Galaxy: Morphological segmentation of galaxies; Astronomy and Computing; 2213-1337; 10.1016/j.ascom.2020.100420
  14. Fernández Gil, A., Gómez Sánchez, M., Lalla-Ruiz, E., Castro, C.; 2020; Cumulative VRP with Time Windows: A Trade-Off Analysis; Lecture notes in computer science; 978-3-030-59747-4; 10.1007/978-3-030-59747-4_18
  15. Godoy-Castillo, C., Bravo-Acuña, N., Arriagada, G., Faunes, F., León, R., Soto-Delgado, J.; 2020; Identification of the naphthoquinone derivatives inhibitors binding site in Heat Shock Protein 90. An induced-fit docking, molecular dynamics and 3D-QSAR study.; Journal of Biomolecular Structure and Dynamics; 0739-1102
  16. Hernández Ulloa C., Baier J. A., Asín-Acha R.; 2020; Multipath Adaptive A*: Factors That Influence Performance in Goal-Directed Navigation in Unknown Terrain; IEEE Access; 2169-3536/2169-3536; 10.1016/j.ascom.2024.100816
  17. Hernandez, G., Leon, R., Urtubia, A.; 2020; Application of computational intelligence techniques for forecasting problematic wine fermentations using data from classical chemical measurements; Innovations in Technologies for Fermented Food and Beverage Industries ; 978-3-319-74820-7; 10.1007/978-3-319-74820-7_16
  18. Huerta I. I., Neira D. A., Ortega D. A., Varas V., Godoy J., Asín-Achá R.; 2020; Anytime automatic algorithm selection for knapsack; Expert Systems with Applications; 0957-4174/1873-6793; 10.3390/s24154985
  19. Johnson, F., Valderrama, A., Valle, C., Crawford, B., Soto, R., Nanculef, R.; 2020; Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm; IEEE Access; 2169-3536; 10.1109/access.2020.3019245
  20. León, R., Nagel, W., Ohser, J., Arscott, S.; 2020; Modeling Crack Patterns by modified STIT Tessellations.;  Image Analysis & Stereology; 1580-3139 
  21. Leon, R., Blazquez, C., Depassier, V.; 2020; Improvements of a Topological Map-Matching Algorithm in Post-Processing Mode; 2020 39th Int. of the Chilean Computer Science Society (SCCC); 1522-4902; 10.1109/SCCC51225.2020.9281276
  22. León, R., Salinas, L., Torres, C.E.; 2020; A computational model for multiple collisions of rigid bodies: An extension of A-CD2 method; Proc. of the 6th European Conf. on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conf. on Computational Fluid Dynamics, ECFD 2018; 978-849473116-7  
  23. Leger, P., Contreras, D., Nicolis, O., Hernandez, C., Rojas, P., Giachetti, G., Quiroga, E., Telgie, L., Herrera, O., Dombrovskaia, L., Psijas, A.I.; 2020; SCCC 2020 Opinion; 2020 39th Int. Conf. of the Chilean Computer Science Society (SCCC); 978-1-7281-8328-2; 10.1109/SCCC51225.2020.9281281
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  25. Mena, F., Ñanculef, R., Valle, C.; 2020; Collective Annotation Patterns in Learning from Crowds; Intelligent Data Analysis; 1088-467X; 10.3233/ida-200009
  26. Mena, F., Ñanculef, R., Valle, C. ; 2020; Interpretable and Effective Hashing via Bernoulli Variational Auto-encoders; Intelligent Data Analysis; 1088-467X; 10.3233/ida-200013
  27. Montero E., Riff M.C.; 2020; Effective Collaborative Strategies to Setup Tuners; Soft Computing; 1432-7643/1433-7479; 10.1007/s00500-019-04252-4
  28. Montilla-Trochez, D., Salas, R., Bertin, A., Griskova-Bulanova, I., Lisboa, P., Saavedra, C.; 2020; Convolutional neural network for cognitive task prediction from EEG’s auditory steady state responses; CEUR Workshop Proc.; 16130073
  29. Ñanculef, R., Radeva, P., Balocco, S.; 2020; Training Convolutional Nets to Detect Calcified Plaque in IVUS Sequences; Elsevier eBooks; 978-012818833-0; 10.1016/b978-0-12-818833-0.00009-6
  30. Ramírez, N. G., Monfroy, E., Saubion, F., Castro, C.; 2020; Improving complex SMT strategies with learning; Int. Transactions in Operational Research; 1475-3995; 10.1111/itor.12650
  31. Rojas-Morales, N., Riff, M.-C.; 2020; A Practical Tuner based on Opposite Information; 2020 IEEE Congress on Evolutionary Computation (CEC); 978-172816929-3; 10.1109/CEC48606.2020.9185746
  32. Salinas, Á., Torres, C., & Ayala, O.; 2020; A fast and efficient integration of boundary conditions into a unified CUDA Kernel for a shallow water solver lattice Boltzmann Method; Computer Physics Communications; 0010-4655; 10.1016/j.cpc.2019.107009
  33. Sanchez-Ortiz, A., Solar, M., Estevez, E., Viale-Pereira, G.; 2020; Identification of Competencies and Teaching Models for the Governance of Smart Sustainable Cities in the South American Context; Electronic Government; 0302-9743; 10.1007/978-3-030-57599-1_30
  34. Solar, M., Araya-Lopez, M.,Cockbaine, J., Castaneda, V., Mendoza, M.; 2020; An Interoperable Repository of Clinical Data; 2020 Seventh Int. Conf. on eDemocracy & eGovernment (ICEDEG); 978-172815882-2; 10.1109/ICEDEG48599.2020.9096707
  35. Solar, M.; Atkinson, J.; 2020; Efficient Astronomy Scheduling using Artificial Immune Systems; Proc. of SPIE – The Int. Society for Optical Engineering; 0277-786X; 10.1117/12.2563632
  36. Soto, R., Crawford, B., Olivares, R., Carrasco, C., Rodriguez-Tello, E., Castro, C., Paredes, F., De La Fuente-Mella, H.; 2020; A reactive population approach on the dolphin echolocation algorithm for solving cell manufacturing systems; Mathematics; 2227-7390; 10.3390/math8091389
  37. Tobar, F.M., Torres, C.E.; 2020; Multi-OctConv: Reducing Memory Requirements in Image Generative Adversarial Networks; 2020 39th Int. of the Chilean Computer Science Society (SCCC); 1522-4902; 10.1109/SCCC51225.2020.9281213
  38. Toledo, A., Riff, M.-C., Neveu, B.; 2020; A Hyper-Heuristic for the Orienteering Problem with Hotel Selection; IEEE Access; 2169-3536; 10.1109/access.2019.2960492
  39. Treimun-Costa, G., Montero, E., Ochoa, G., Rojas-Morales, N.; 2020; Modelling Parameter Configuration Spaces with Local Optima Networks; Proc. of the Genetic and Evolutionary Computation Conf. (GECCO 2020); 978-145037128-5; 10.1145/3377930.3390199
  40. Valdivia, S., Soto, R., Crawford, B., Caselli, N., Paredes, F., Castro, C., Olivares, R.; 2020; Clustering-based binarization methods applied to the crow search algorithm for 0/1 combinatorial problems; Mathematics; 2227-7390; 10.3390/math8071070
  41. Vargas, H., Buil-Aranda, C., Hogan, A., López, C.; 2020; A user interface for exploring and querying knowledge graphs; Proc. of the 29th Int. Joint Conf. on Artificial Intelligence Sister Conferences Best Papers.; 1045-0823; 10.24963/ijcai.2020/666
  42. Villagran, J., Montero, E., Paredes-Belmar, G.; 2020; An Iterated Local Search Approach to Solve the Milk Collection Problem With Blending; Proc. of the IEEE World Congress on Computational Intelligence (WCCI 2020); 978-172816929-3; 10.1109/CEC48606.2020.9185888
  43. Wang, S., Gill, H., Wan, W., Tricker, H., Fernandes, J.F., Noh, Y., Uribe, S., Urbina, J., Sotelo, J., Rajani, R., Lamata, P., Rhode, K.; 2020; Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation; Lecture Notes in Computer Science, 12009 LNCS, pp. 12-21.; 030297439783030390730;
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Cooperación

CENTRO CIENTÍFICO TECNOLÓGICO DE VALPARAÍSO
PROYECTO CONICYT BASAL FB0821
ÁREAS
Física Teórica de Alta Energía
Física Experimental de Alta Energía
Computación de Alto Desempeño
Ingeniería Electrónica

INVESTIGADORES TITULARES
I. Schmidt A., S. Kovelenko, B. Kopeliovich, W. Brooks, S. Kuleshov, C. Dib, H.  Allende, L. Salinas, E. Levin, R. Feick

INVESTIGADORES ASOCIADOS
G. Cvetic, P. Gaete, I. Potashnikova, A. Zerwekh, G. Hernández, M. Araya, M. Mendoza, M. Riff,  C. Torres, C. Valle, W. Creixel, S. Kouro, M. Pérez, C. Silva.

El Departamento de Informática mantiene actualmente los siguientes Convenios y Acuerdos de Cooperación e Intercambio de Estudiantes y Profesores para apoyar el postgrado:

1. CONVENIO UNIVERSIDAD DE BOLONIA, ITALIA.
Convenio de intercambio de estudiantes de postgrado y profesores, con el Departamento de Electrónica, Informática y Sistemas de la Universidad de Bolonia, Italia. Coordinadores Prof. Dr. Claudio Sartori (Universidad de Bolonia) y el profesor Dr. Héctor Allende Olivares (Profesor DI UTFSM).

2. COOPERACION UNIVERSIDAD DE BRISTOL, INGLATERRA.
Acuerdo de Cooperación entre el Department of Computer Science de la Universidad de Bristol, Inglaterra y el DI de la UTFSM. Coordinadores Dr. Nello Cristianini (Bristol, Inglaterra) y el Dr. Juan Ricardo Ñanculef A.

3. CONVENIO UNIVERSIDAD DE ROMA, ITALIA.
Convenio entre el Instituto Nazionale di Fisica Nucleare (INFN) de la Universidad de Roma Tre, Italia y el DI de la UTFSM. Convenio de intercambio de estudiantes. Contacto en la Universidad de Roma, el profesor Federico Ruggieri y en la UTFSM, el profesor Dr. Luis Salinas.

4. CONVENIO TECHNISCHE UNIVERSITÄT MÜNCHEN, ALEMANIA.
Convenio de visitas cortas e intercambio de estudiantes y profesores entre el Departamento de Informática Technische Universität München, Alemania y el DI de la UTFSM. Coordinadores Dr. Carsten Trinitis, Prof. Instituto de Informática (Alemania) y el Prof. Dr. Luis Salinas (Chile).

5. CONVENIO INRIA-PARIS ROCQUENCOURT, FRANCIA.
Convenio de visitas cortas e intercambio de estudiantes y profesores entre el INRIA-Paris Rocquencourt, Paris, Francia y el DI de la UTFSM, Chile. Coordinadores Dra. Nelly Bencomo (Francia) y el profesor Dr. Hernán Astudillo (Chile).

6. CONVENIO NASA-AMES RESEARCH CENTER, ESTADOS UNIDOS.
Convenio intercambio de estudiantes y profesores entre NASA – Ames Re- search Center, Moffett Field, California EE.UU y el DI de la UTFSM, Chile. Coordinadores del convenio Ph.D. Nikunj C. Oza, USA y el Prof. Dr. Héctor Allende (Chile).

7. CONVENIO UNIVERSITY OF MICHIGAN, ESTADOS UNIDOS.
Convenio de visitas cortas e intercambio de estudiantes y profesores entre el Functional MRI Laboratory, University of Michigan, Ann Arbor, Michigan, Estados Unidos y el DI de la UTFSM, Chile. Coordinadores del convenio Dr. Luis Hernández García (Estados Unidos) y el Prof. Dr. Héctor Allende (Chile).

8. CONVENIO DALHOUSIE UNIVERSITY, HALIFAX, CANADÁ.
Convenio de cooperación e intercambio de académicos y estudiantes, reconocimiento y acreditación mutua de cursos, asesoramiento a estudiantes de postgrado, elaboración conjunta de proyectos orientados a la obtención de financiamiento externo en el Departamento de Ciencia de la Computación de la Universidad de Dalhousie y el DI de la UTFSM. Coordinadores del convenio Dr. Evangelos Milios (Canadá) y Dr. Marcelo Mendoza (Chile).