David Gutiérrez Avilés

David Gutiérrez Avilés

Assistant Professor

Citations and socials

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Prof. David Gutiérrez Avilés, Ph.D. is a Computer Science Engineer (University of Seville, 2010), Master in Software Engineering and Technology (University of Seville, 2013), Ph.D. (University of Seville, 2015). He is an Assistant Professor in the Languages and Systems Department of the University of Seville.

His main scientific achievement is the TrLab methodology for mining and evaluating behavior patterns from large time-dependent datasets. This novel method extracts patterns from 3D large data using triclustering and genetic algorithms techniques. Through this research, several research productions and goals have been obtained: five JCR papers published, six conferences, a stay abroad in the University of Chile, belongings to one R&D team, a Regional project, and a National project; His Ph.D. thesis and intellectual property for the TrLab application.

The research lines of Prof. David Gutiérrez Avilés, Ph.D. are focused on: Electricity fraud detection in Big Data environments, On-line machine learning from Big data streaming, Analysis of Internet of Things protocols, and sensor data analysis.



Please request an appointment.

  • Wednesday from 10:45h to 14:45h
  • Friday from 10:45h to 12:45h



22 entries « 2 of 2 »


F. Martínez-Álvarez and D. Gutiérrez-Avilés and A. Morales-Esteban and J. Reyes and J. L. Amaro-Mellado and C. Rubio-Escudero

A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula Journal Article

Entropy, 17 (7), pp. 5000-5021, 2015.

Abstract | Links | BibTeX


D. Gutiérrez-Avilés and C. Rubio-Escudero

Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure Journal Article

The Scientific World Journal, 2014 , pp. 1-16, 2014.

Abstract | Links | BibTeX

D. Gutiérrez-Avilés and C. Rubio-Escudero

LSL: A new measure to evaluate triclusters Conference

2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014.

Links | BibTeX

D. Gutiérrez-Avilés and C. Rubio-Escudero and F. Martínez-Álvarez and J.C. Riquelme

TriGen: A genetic algorithm to mine triclusters in temporal gene expression data Journal Article

Neurocomputing, 132 , pp. 42-53, 2014.

Abstract | Links | BibTeX


D. Gutiérrez-Avilés and F. Martínez-Álvarez and C. Rubio-Escudero and J. C. Riquelme

Finding motifs in DNA sequences Workshop

Spanish Conference on Technologies and Fuzzy Logic (ESTYLF'12), 2012.



D. Gutiérrez-Avilés and C. Rubio-Escudero and J. C. Riquelme

Revisiting the yeast cell cycle problem with the improved TriGen algorithm Conference

2011 Third World Congress on Nature and Biologically Inspired Computing, 2011.

Links | BibTeX

D. Gutiérrez-Avilés and C. Rubio-Escudero and J. C. Riquelme

Unravelling the Yeast Cell Cycle Using the TriGen Algorithm Conference

Advances in Artificial Intelligence, 2011.

Links | BibTeX

22 entries « 2 of 2 »