JUAN RICARDO NANCULEF ALEGRIA
Full Time Professor
Universidad Técnica Federico Santa María
Santiago, Chile
Lecturer in Computer Science at UTFSM, Campus San Joaquín, from 03-2014. Before: Postdoc at University of Bristol, UK. Specialized in Machine Learning, Optimization and Statistics. Doing research in support vector machines, non-linear convex optimization, randomized algorithms, dimensionality reduction and applications to text analysis.
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Doctor en Ingeniería Informática, Universidad Técnica Federico Santa María. Chile, 2011
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Magíster en Ciencias de la Ingeniería Informática, Universidad Técnica Federico Santa María. Chile, 2006
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Ingeniero Civil Informático, Universidad Técnica Federico Santa María. Chile, 2006
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Profesor Instructor Full Time
Universidad Técnica Federico Santa María
Santiago, Chile
2014 - A la fecha
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Researcher Full Time
Universidad Técnica Federico Santa María
Valparaíso, Chile
2011 - 2014
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Research Assistant Full Time
Universidad Técnica Federico Santa María
Valparaíso, Chile
2005 - 2008
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Part-Time Professor Part Time
Universidad Técnica Federico Santa María
Valparaíso, Chile
2006 - 2008
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Part-Time Professor Part Time
Universidad Técnica Federico Santa María
Valparaíso, Chile
2011 - 2011
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Part-Time Professor Part Time
Universidad Tecnológica de Chile - INACAP
Valparaíso, Chile
2006 - 2008
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Part-Time Professor Part Time
Universidad Adolfo Ibáñez
Valparaíso, Chile
2008 - 2008
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Research Assistant Part Time
Universidad de Bologna
Bologna, Italia
2009 - 2010
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Research Assistant Part Time
Universidad Técnica Federico Santa María
Valparaíso, Chile
2010 - 2011
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Co-researcher Project Fondecyt 1070220 Other
Universidad Técnica Federico Santa María
Valparaíso, Chile
2007 - 2007
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Post-doctoral Researcher
University of Bristol
Bristol, Reino Unido
2012 - 2013
As a full-time professor at the Department of Informatics of the Federico Santa Maria University I teach to students in a regular basis. Typically, I give the course of Computational Statistics in the Campus Santiago San Joaquín of the university, to undergraduate students, each semester. In addition I give more specialized courses like: Machine Learning and Intelligent Data Analysis, to undergraduate and postgraduate students, at least once per year. I usually supervise students for the completition of their graduation projects (something like a thesis, but for undergraduates). Till now I have only (co-)supervised one post-graduate Master thesis. In the next years I should supervise other Master thesis as well as PhD thesis.
In the last year, I had two students working as research assistants. Their graduation projects will be related to topics of this proposal.
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Best Paper Award
15th Iberoamercian Congress on Pattern Recognition
Brasil, 2010
Best paper award in the 15th Iberoamercian Congress on Pattern Recognition, Sao Paulo, 2010
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Valedictorian of the Class 2006 - Informatics Engineering
UNIVERSIDAD TECNICA FEDERICO SANTA MARIA
Chile, 2006
Highest ranking among the graduating class of year 2006 in Informatics Engineering.
Support Vector Classification via Computational Geometry Methods |
Ensembles Methods for Machine Learning |
MULTI LABEL CLASSIFICATION OF LARGE SCALE DATA STREAMS USING HASH KERNEL MACHINES |
ENSEMBLE OF MACHINE LEARNING-BASED LOCAL ESTIMATORS FOR HIGH FREQUENCY TIME SERIES FORECASTING |
Métodos de Aprendizaje Automático Aplicados a la Extracción de Patrones sobre Grandes Streams de Datos. (Machine Learning Methods Applied to Large Data Streams) |
Fortalecimiento de un Nuevo Programa de Doctorado en Ingeniería Informática |
Erasmus Exchange for Research in Incremental Learning of Non-Binary SVMs |
ENSEMBLE LEARNING STRATEGIES FOR HIGH-DIMENSIONAL AND NON-STATIONARY DATA |
ROBUST LEARNING ALGORITHMS FOR MODULAR NEURAL NETWORKS IN NON-STATIONARY TIME |
Estimación Robusta y Desarrollo de Filtros en Procesamiento de Imágenes de Percepción Remota |