Guillermo Felipe Cabrera Vives
Associate Professor
Universidad de Concepción
Concepción, Chile
Machine Learning Computer Vision Data-science Astroinformatics Bioinformatics
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DOCTORADO EN CIENCIAS MENCIÓN COMPUTACIÓN, UNIVERSIDAD DE CHILE. Chile, 2015
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Postdoctorado Part Time
INSTITUTO MILENIO DE ASTROFISICA
Chile
2015 - 2017
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Profesor Asistente Full Time
UNIVERSIDAD DE CONCEPCION
Facultad de Ingeniería
Concepción, Chile
2017 - 2019
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Profesor Asociado Full Time
UNIVERSIDAD DE CONCEPCION
Facultad de Ingeniería
Concepción, Chile
2020 - At present
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Investigador y desarrollador de herramientas para el analisis automatico de datos astronomicos. Full Time
CMM (Universidad de Chile) & AURA (Association of Universities for Research in Astronomy)
Chile
2009 - 2015
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Ingeniero de Proyectos
GCF Ingenieros Limitada (2009).
Chile
2009 - 2009
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Ingeniero de Proyectos
Spatsof s.a
Chile
2007 - 2008
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Investigador
University of Bristol
Reino Unido
2008 - 2008
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Tesista de Magister
Departamento de Ciencias de la Computación, Universidad de Chile
Chile
2006 - 2008
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Director Other
Data Science Unit, University of Concepción
Concepción, Chile
2019 - At present
Current Students
• Mabel Vidal, Ph.D. in Computer Science. Working on new machine learning tools for immunology. University of Concepción, estimated graduation date: 2021.
• Esteban Medina, M. Sc. in Computer Science. Working on de-biasing algorithms. University of Concepción, estimated graduation date: 2022.
• Valentina Hernández, M. Sc. in Computer Science. Working on automatic detection of image findings in COVID-19 computed tomography. University of Concepción, estimated graduation date: 2021.
• Alejandra Fernández, M. Sc. in Computer Science. Working on generative adversarial networks. University of Concepción, estimated graduation date: 2021.
• César Bolívar, M. Sc. in Computer Science. Working on domain adaptation. University of Concepción, estimated graduation date: 2021.
• Alexis Sánchez, M. Sc. in Computer Science. Working on Bayesian neural networks for light curves. University of Concepción, estimated graduation date: 2020.
Alumni:
Master Students:
• Constanza Vásquez, M.Sc. in Computer Science. Working on deep learning for segmentation of medical images for patients with cancer. University of Concepción, 2020.
• Jaime Jiménez, M.Sc. in Electrical Engineering. Working on deep learning for the extraction of entities from clinical information. University of Concepción, 2020.
• Monserrat Martínez, "Galaxy population identification with a Phylogenetic approach", thesis for M.Sc. in Astronomy, University of Concepción, 2020.
• Manuel Pérez, "Adversarial Variational Domain Adaptation For Semi-supervised Image Classification", thesis for M.Sc in Computer Science, University of Concepción, 2019.
• Cristóbal Donoso, "An Hybrid Supervised Model To Detect Anomalous Light Curves", thesis for M.Sc. in Computer Science, University of Concepción, 2019.
• Rodrigo Carrasco, "Image Sequence Simulation And Deep Learning For Astronomical Object Classification", thesis for M.Sc. in Electrical Engineer thesis. Working on convolutional recurrent neural networks. University of Chile, 2019.
• Aldo Concha, "Customer rating of a financial institution using data mining techniques on an incomplete dataset", thesis for M.Sc. in Computer Science, University of Concepción, 2019.
• Ignacio Reyes, “Monitoring and learning of neural networks using information measures and their application in the detection of transient astronomical events”, thesis for M.Sc. in Electrical Engineer thesis, University of Chile, 2019.
Engineer students:
• Éric Fernández, "Development of a framework to query light curves of astronomic objects from different sources", thesis for Computer Engineering. in Computer Science, University of Concepción, estimated graduation date: 2021.
• Daniel Ortega, "Tree density estimation using satellite imagery", thesis for Computer Engineering. in Computer Science, University of Concepción, 2020.
• Martín Pincheira, "Mobile application to estimate facial beauty through convolutional networks and user assessment", thesis for Computer Engineering, University of Concepción, 2019.
• Hector González, "Improvement Of Fire Detection Prototype On Images", thesis for Computer Engineering, University of Concepción, 2019.
• Joaquín Cárdenas, “Prediction of Potential Real Estate Customers for Aitué, Based on Historical Data of its Clients”, thesis for Computer Engineer degree, University of Concepción, Chile, 2018.
• Diego Mesa, “Design and implementation of a prototype of a non-relational database with efficient flow management in the context of astronomical alerts”, thesis for Computer Engineer degree, University of Concepción, Chile, 2018.
• Fernando Caro, “Algorithms for superresolution in astronomical images”, thesis for M.Sc. in Computer Science, University of Chile, 2016.
• Nicolás Miranda, “Molecular line association rules”, thesis for Computer Engineering, University of Chile, 2014.
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FONDECYT Postdoctoral grant
INSTITUTO MILENIO DE ASTROFISICA
Chile, 2016
FONDECYT Postdoctoral grant 2016: "NEW MACHINE LEARNING TOOLS FOR OBSERVATIONAL DATA ANALYSIS"
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SCAT Mobility grant
UNIVERSITY OF BRISTOL
Reino Unido, 2008
The SCAT project for Scientific Computing Advanced Training offered mobility grants at the MSc or PhD level, and also for post-doctoral fellows. The grants were intended for students registered at, or post-docs affiliated to, one partner institution, to spend an extended period of study and research at another partner institution.
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Academic Excellence Award
UNIVERSIDAD DE CONCEPCION
Chile, 2019
Award given to the best faculty at University of Concepción.
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FONDECYT Initiation into Research
UNIVERSIDAD DE CONCEPCION
Chile, 2019
FONDECYT Initiation into Research Grant 2019: "NEW DEEP LEARNING TOOLS FOR ASTRONOMICAL DATA STREAMS"