Summary

Francisco A. Gómez received his PhD in Computer Science from the Pablo de Olavide University of Seville, obtaining a qualification of Cum Laude , in addition to Computer Science Engineer by the University of Seville.

His lines of research are focused on the treatment of information using intelligent techniques, applying Machine Learning and data mining techniques.

He has focused mainly on the analysis of genetic and biomedical data in his research. In addition, he has recently focused on the research of new Big Data techniques for the exploitation of different types of data. Currently, he is focused on applying new algorithms for the analysis of energy data in the environment of smart buildings and smart cities.

Finally, it has participated in national research projects, as follows as well as R+D+I transfer projects and contracts in this field.

Education

In this section I want you to know about my academic degrees:

I received my degree in Computer Science Engineering in 2006, University of Seville.

Degree Project Dissertation: Gene networks inference based on C4.5-Rules algorithm

Supervisor: Norberto Díaz-Díaz

Official Master in Technology and software engineering in 2011, University of Seville.

Degree Project Dissertation: Analysis and Comparison of standard inference genetic networks methods.

Supervisor: José C. Riquelme

Ph.D. in Computer Science in 2015 by the Pablo de Olavide University. In particular, my research field is based on the analysis of gene expression data.

Teaching

I currently teach in Spanish at the Pablo de Olavide University (2018-2019):

Grado en Ingeniería Informática en Sistemas de Información:

• Fundamentos de programación
• Bioinformática (Coordinador) -- Accede al material docente Aquí
• Ingeniería de Proyectos (Coordinador) -- Accede al material docente Aquí.
• Diseño de Bases de datos
• Trabajo Fin de Grado

Grado de Biotecnología:

• Informática

Master Oficial de Ingeniería Informática:

• Desarrollo de dispositivos móviles
• Trabajo Fin de master

Master Oficial de Humanidades digitales:

• Investigar a través de la explotación de bases de datos

Publications

Here’s there are some of the last works that I have published:

2020

Identifying livestock behavior patterns based on accelerometer dataset

DS Rodriguez-Baena, FA Gomez-Vela, M García-Torres, F Divina, ...

Journal of Computational Science, 101076

2019

Computational Inference of Gene Co-Expression Networks for the identification of Lung Carcinoma Biomarkers: An Ensemble Approach

FM Delgado-Chaves, F Gómez-Vela, M García-Torres, F Divina, ...

Genes 10 (12), 962

Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks

F Gómez-Vela, FM Delgado-Chaves, DS Rodríguez-Baena, ...

Entropy 21 (12), 1139

Analysis of Student Achievement Scores: A Machine Learning Approach

M García-Torres, D Becerra-Alonso, FA Gómez-Vela, F Divina, IL Cobo, ...

International Joint Conference: 12th International Conference on …

A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings

F Divina, MG Torres, FA Goméz Vela, JL Vázquez Noguera

Energies 12 (10), 1934

Biclustering of Smart Building Electric Energy Consumption Data

F Divina, FA Goméz Vela, M García Torres

Applied Sciences 9 (2), 222

Computational methods for Gene Regulatory Networks reconstruction and analysis: A review

FM Delgado, F Gómez-Vela

Artificial Intelligence in Medicine

2018

BIGO: A web application to analyse gene enrichment analysis results

A Lopez-Fernandez, D Rodriguez-Baena, F Gomez-Vela, N Diaz-Diaz

Computational biology and chemistry 76, 169-178

Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting

F Divina, A Gilson, F Goméz-Vela, M García Torres, JF Torres

Energies 11 (4), 949

Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach

PMM García, MG Torres, F Divina, FAG Vela, F Cortés-Ledesma

International Conference on the Applications of Evolutionary Computation, 86-101

GNC–app: A new Cytoscape app to rate gene networks biological coherence using gene–gene indirect relationships

JJ Díaz-Montaña, F Gómez-Vela, N Díaz-Díaz

Biosystems 166, 61-65

Structure Optimization for Large Gene Networks Based on Greedy Strategy

F Gómez-Vela, DS Rodriguez-Baena, JL Vázquez-Noguera

Computational and Mathematical Methods in Medicine 2018

GFD-Net: A novel semantic similarity methodology for the analysis of gene networks

JJ Díaz-Montaña, N Díaz-Díaz, F Gómez-Vela

Journal of Biomedical Informatics 68, 71-82

GNC-app: A new Cytoscape app to rate gene networks biological coherence using gene-gene indirect relationships.

JJ Díaz-Montaña, F Gómez-Vela, N Díaz-Díaz

Bio Systems.Volume 166, April 2018, Pages 61-65

2017

GFD-Net: A novel semantic similarity methodology for the analysis of gene networks.

Díaz-Montaña JJ, Díaz-Díaz N, Gómez-Vela F.

Journal of Biomedical Informatics. 2017 April; Volume 68:Pages 71-82.

Bioinformatics from a Big Data Perspective: Meeting the Challenge

Francisco Gomez-Vela, Aurelio López, José A Lagares, Domingo S Baena, Carlos D Barranco, Miguel García-Torres, Federico Divina

International Conference on Bioinformatics and Biomedical Engineering, 349-359

2016

Incorporating biological knowledge for construction of fuzzy networks of gene associations

F Gómez-Vela, CD Barranco, N Díaz-Díaz

Applied Soft Computing 42, 144-155

High-dimensional feature selection via feature grouping: A Variable Neighborhood Search approach

M García-Torres, F Gómez-Vela, B Melián-Batista, JM Moreno-Vega

Information Science. Volume 326, 1 January 2016, Pages 102–118.

2015

Gene network coherence based on prior knowledge using direct and indirect relationships.

F Gómez-Vela, JA Lagares and N Díaz-Díaz

Computational Biology and Chemestry. 2015 June; Volumen 56:142-51.

2014

Aprendizaje basado en problemas empleando metodologías de ingeniería aplicadas a proyectos empresariales

F Gómez-Vela, C.D. Barranco, N Díaz-Díaz, M. García-Torres, D.S. Rodríguez, F. Divina y A. Márquez

I Seminario Iberoamericano de Innovación Docente de la Universidad Pablo de Olavide 2014, ISBN: 84-697-2223-9

Gene Network Biological Validity Based on Gene-Gene Interaction Relevance

F Gómez-Vela, N Díaz-Díaz

The Scientific World Journal 2014,

SI: Computational Intelligence and Metaheuristic Algorithms with Applications, ID 540679

2012

Using graph theory to analyze gene network coherence

F Gómez-Vela, N Díaz-Díaz, JA Lagares, JA Sánchez, JS Aguilar-Ruiz

EMBnet. journal 18 (B), pp. 32-34, 2012

Sistema de Evaluación en Ingeniería del Software

Norberto Diaz-Diaz, Roberto Ruiz, Francisco Gómez-Vela and Jesús S. Aguilar-Ruiz

Revista digital UPO-innova

Gene–Gene Interaction based Clustering method for Microarray Data

Norberto Diaz-Diaz, Francisco Gómez-Vela, Jorge García-Gutiérrez, Jesús S. Aguilar-Ruiz

IEEE-Xplore (ISDA'11)

2011

Uso de Rutas Metabólicas para la Validación de Redes Genéticas

Francisco Gómez-Vela, Norberto Diaz-Diaz, Jesus Aguilar-Ruiz, (EVaBio'11)

Algoritmo de Selección de Atributos Basado en Utilidad Incremental y Análisis de Redundancia: Aplicación a Datos Biológicos

Francisco Gómez Vela, Miguel García Torres, Belén Melián, J. Marcos Moreno-Vega, José A. Moreno Pérez, Roberto Ruiz and Jesús S. Ruiz Aguilar.,

pp 753, (EVaBio'11)

Pattern recognition in biological time series

Francisco Gomez-Vela, Francisco Martínez-Álvarez, Norberto Díaz-Díaz, Carlos Barranco-Gonzalez, Domingo Rodriguez-Baena and Jesús S. Aguilar-Ruiz

Lecture Note in Artifical Intelligence 7023, pp 164-172 (CAEPIA'11)

Gene Networks Validation based on Metabolic Pathways

Francisco Gómez-Vela, Norberto Diaz-Diaz, Jesús S. Aguilar-Ruiz

IEEE International Conference on Bioinformatics and Bioengineering, pp 9-14 (BIBE'11)

Gene Regulatory Networks Validation Framework based in KEGG

Norberto Diaz-Diaz, Francisco Gómez-Vela, Domingo Rodriguez-Baena, Jesús Aguilar-Ruiz

Lecture Notes in Artificial Intelligence 6679, pp 279-286 (HAIS'11)

2010

Caracterización de un Conjunto de Genes basado en el Análisis de Pathways Metabólicos

Jesus Aguilar-Ruiz, Domingo Rodriguez-Baena, Norberto Diaz-Diaz, Isabel Nepomuceno, Francisco Gómez-Vela (TAMIDA'10)