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
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula Journal Article
Entropy, 17 (7), pp. 5000-5021, 2015.
Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure Journal Article
The Scientific World Journal, 2014 , pp. 1-16, 2014.
LSL: A new measure to evaluate triclusters Conference
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014.
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data Journal Article
Neurocomputing, 132 , pp. 42-53, 2014.
Finding motifs in DNA sequences Workshop
Spanish Conference on Technologies and Fuzzy Logic (ESTYLF'12), 2012.
Revisiting the yeast cell cycle problem with the improved TriGen algorithm Conference
2011 Third World Congress on Nature and Biologically Inspired Computing, 2011.
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm Conference
Advances in Artificial Intelligence, 2011.