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Jorge Ramón Vergara Quezada

Profesor asistente

Universidad Tecnológica Metropolitana

Santiago, Chile

Feature selection/extraction/construction; Machine learning; Computational intelligence, information theory learning, signal processing and pattern recognition, multi-objective optimization, Evolutionary Computation.

Science in engineering, UNIVERSIDAD DE LA FRONTERA. Chile, 2005
Electrical engineering, UNIVERSIDAD DE CHILE. Chile, 2015
Electronic civil engineer, UNIVERSIDAD DE LA FRONTERA. Chile, 2007

Profesor adjunto Part Time

UNIVERSIDAD ANDRES BELLO

Santiago, Chile

2010 - 2011
Profesor adjunto Part Time

UNIVERSIDAD DE VALPARAISO

Valparaiso, Chile

2012 - 2012
Profesor adjunto Other

UNIVERSIDAD DE CHILE

Facultad de Ciencias Físicas y Matemáticas

Santiago, Chile

2008 - At present
Profesor asistente Other

UNIVERSIDAD DE LA FRONTERA

Facultad de Ingeniería y Ciencias

Temuco, Chile

2004 - 2006
Profesor Asistente Full Time

UNIVERSIDAD TECNOLOGICA METROPOLITANA

Ingeniería

Santiago, Chile

2019 - At present

Investigador Postdoctorado Full Time

Universidad de Chile

Santiago, Chile

2016 - 2018
Asesor Part Time

ProteinLab UTEM

Santiago, Chile

2019 - At present

- Research column for the MAS on the work done jointly with the University of Washington for the improvement of the Large Synoptic Survey Telescope (LSST) asteroid alert system. June 7,2017, http://www.astrofisicamas.cl/en/el-moving-object-pipeline-system/
- PROENTA “The Magic of the Volcanoes”. Activity focused on students between 10-13 years to deliver basic knowledge of volcanoes in Chile. University of La Fontera, 2005

Postdoctorado

FONDECYT

Chile, 2016

Postdoctorado FONDECYT 3160772


Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors Sanchez-Saez, P.; Lira, H.; Marti, L.; Sanchez-Pi, N.; Arredondo, J.; Bauer, F. E.; Bayo, A.; Cabrera-Vives, G.; Donoso-Oliva, C.; Estevez, P. A.; Eyheramendy, S.; Forster, F.; Hernandez-Garcia, L.; Arancibia, A. M. Munoz; Perez-Carrasco, M.; Sepulveda, M.; Vergara, J. R. Article ISI ASTRONOMICAL JOURNAL (2021)
Subset Feature Selection with Structural Variables Urrutia, Juan A.; Estevez, Pablo A.; Vergara, Jorge R.; IEEE Article ISI 2021 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI) (2021)
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker Forster, F.; Cabrera-Vives, G.; Castillo-Navarrete, E.; Estevez, P. A.; Sanchez-Saez, P.; Arredondo, J.; Bauer, F. E.; Carrasco-Davis, R.; Catelan, M.; Elorrieta, F.; Eyheramendy, S.; Huijse, P.; Pignata, G.; Reyes, E.; Reyes, I.; Rodriguez-Mancini, D.; Ruz-Mieres, D.; Valenzuela, C.; Alvarez-Maldonado, I.; Astorga, N.; Borissova, J.; Clocchiatti, A.; De Cicco, D.; Donoso-Oliva, C.; Hernandez-Garcia, L.; Graham, M. J.; Jordan, A.; Kurtev, R.; Mahabal, A.; Maureira, J. C.; Munoz-Arancibia, A.; Molina-Ferreiro, R.; Moya, A.; Palma, W.; Perez-Carrasco, M.; Protopapas, P.; Romero, M.; Sabatini-Gacitua, L.; Sanchez, A.; San Martin, J.; Sepulveda-Cobo, C.; Vera, E.; Vergara, J. R. Article ISI ASTRONOMICAL JOURNAL (2021)
Dimensionality Reduction of SDSS Spectra with Variational Autoencoders Portillo, Stephen K. N.; Parejko, John K.; Vergara, Jorge R.; Connolly, Andrew J. Article ISI ASTRONOMICAL JOURNAL (2020)
A strategy for time series prediction using segment growing neural gas Vergara, J. R.; EstÃ©vez P.A. Article SCOPUS Proceedings of the International Thermal Spray Conference (2017)
Segment Growing Neural Gas for Nonlinear Time Series Analysis Vergara, J.R.; Estévez, P.A.; Serrano, A. Article Advances in Self-Organizing Maps and Learning Vector Quantization (2016)
Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features Curilem, M.; Vergara, J; San Martin C.; Fuentealba G.; Cardona C.; Huenupán F.; Chacon M.; Khan, MS; Hussein, W; Yoma, NB Article ISI SCOPUS JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH (2014)
A review of feature selection methods based on mutual information Vergara, Jorge R.; Estévez, Pablo A. Article Neural Computing and Applications (2013)
Nonlinear Time Series Analysis by Using Gamma Growing Neural Gas Estévez, Pablo A.; Vergara, Jorge R. Article Advances in Self-Organizing Maps, Advances in Intelligent Systems and Computing (2013)
CMIM-2: An Enhanced Conditional Mutual Information Maximization Criterion for Feature Selection Vergara, Jorge R.; Estévez, Pablo A. Article Journal of Applied Computer Science Methods (2010)
Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms Curilem, G; Vergara J.; Fuentealba, G; Acuna G.; Chacón M. Article Journal of Volcanology and Geothermal Research (2009)
Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms CURILEM G.; Vergara, J; Fuentealba G.; Acuna, G.; Chacon M. Article ISI SCOPUS JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH (2009)


Segment Growing Neural Gas for Nonlinear Time Series Analysis Vergara, J. R.; Estévez P.A.; Serrano A. ConferencePaper ISI SCOPUS INFORMATION TECHNOLOGY: NEW GENERATIONS (2016)
Nonlinear time series analysis by using gamma growing neural gas Estévez P.A.; Vergara, J. R. ConferencePaper SCOPUS Advances in Intelligent Systems and Computing (2013)


SELECCIÓN Y EXTRACCIÓN DE GRUPOS DE CARACTERÍSTICAS BASADO EN INFORMACIÓN MUTUA PARA CLASIFICACIÓN DE PATRONES EN IMÁGENES Y SERIES DE TIEMPO ASTRONÓMICAS FONDECYT (3160772) Proyecto 2015-2018 Inv. Responsable
ADVANCED MACHINE LEARNING AND SIGNAL PROCESSING METHODS FOR TIME SERIES ANALYSIS=> APPLICATIONS TO ASTRONOMICAL LIGHT CURVES AND SLEEP EEG FONDECYT (1140816) Proyecto 2014-2017 Tesista
ADVANCED MACHINE LEARNING AND SIGNAL PROCESSING METHODS FOR TIME SERIES ANALYSIS=> APPLICATIONS TO ASTRONOMICAL LIGHT CURVES AND SLEEP EEG FONDECYT (1140816) Proyecto 2014-2017 Personal técnico y/o de apoyo
SOLAR ENERGY RESEARCH CENTER (SERC-Chile) FONDECYT (15110019) Proyecto 2012-2017 Investigador(a)
ADVANCES NEURAL NETWORKS AND INFORMATION THEORETIC LEARNING METHODS FOR TIME SERIES ANALYSIS=> APPLICATIONS TO ASTRONOMICAL LIGHT CURVES AND BIOMEDICAL SIGNALS FONDECYT (1110701) Proyecto 2011-2014 Tesista
ADVANCED METHODS FOR MACHINE LEARNING AND PATTERN RECOGNITION BY USING INFORMATION THEORETIC LEARNING, SELF-ORGANIZING NEURAL NETWORKS, AND EVOLUTIONARY COMPUTATION FONDECYT (1080643) Proyecto 2008-2011 Personal técnico y/o de apoyo
MAGNETIC PROPERTIES OF TWO INTRINSICALLY FRUSTRATED SYSTEMS. FONDECYT (1060317) Proyecto 2006-2010 Investigador(a)
MAGNETIC PROPERTIES OF TWO INTRINSICALLY FRUSTRATED SYSTEMS. FONDECYT (1060317) Proyecto 2006-2010 Tesista
Utilización de Redes Neuronales Artificiales en el procesamiento y análisis de la actividad sísmica del Volcán Villarrica para modelamiento y pronóstico de erupciones Universidad de la Frontera (DIDUFRO 120449) Proyecto 2004-2006 Investigador(a)