Cristóbal Barba González


University of Málaga ❘ Dpt. de Lenguajes y Ciencias de la Computación (LCC)

About

Contact me

E-mail
cbarba (at) lcc (dot) uma (dot) es
Address
Ada   Byron   Research   Center,   A.2.1,
Calle   Arquitecto   Francisco   Peñalosa,   18,  29010   Málaga   (SPAIN).

Short bio

I am Cristóbal Barba González, I have received my Ph.D. in Computer science (November 2018) at Khaos Research in Málaga (Spain). My areas of interest are Big Data analysis, I particularly focus on Big Data optimization algorithms, streaming processes, multiobjective optimization, semantic web and scientific workflows. I am collaborating in the multiobjective frameworks jMetal and jMetalSP

My research interests include (but are not limited to):

Big Data analysis Machine Learning Semantic Web technologies Evolutionary algorithms Multiobjective optimization Dynamic multiobjective optimization Multi-criteria Decision Making Scientific Workflow

Education

Publications

  1.  Cristóbal Barba-González, Antonio J Nebro, Antonio Benítez-Hidalgo, José García-Nieto, José F Aldana-Montes, On the design of a framework integrating an optimization engine with streaming technologies, Future Generation Computer Systems, 2020 
  2.  Cristóbal Barba-González, J Antonio J Nebro, José García-Nieto, José F Aldana-Montes, A multi-objective interactive dynamic particle swarm optimizer, Progress in Artificial Intelligence, 2020, vol. 9, pp. 55-65 
  3.  Cristóbal Barba-González, José García-Nieto, María del Mar Roldán-García, Ismael Navas-Delgado,Antonio J. Nebro, José F. Aldana-Montes, BIGOWL: Knowledge Centered Big Data Analytics, Expert Systems With Applications, 2019, vol. 115, pp. 543-556 
  4.  Cristóbal Barba-González,Antonio J. Nebro, José García-Nieto, José F. Aldana-Montes, A multi-objective interactive dynamic particle swarm optimizer, Progress in Artificial Intelligence, 2019, pp. 1-11 
  5.  Antonio J. Nebro, Ana B. Ruiz, Cristóbal Barba-González, José García-Nieto, Mariano Luque, José F. Aldana-Montes, InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms, Swarm and Evolutionary Computation, 2018, vol. 40, pp. 184-195 
  6.  Cristóbal Barba-González, José García-Nieto, Antonio J. Nebro, José A. Cordero, Juan J. Durillo, Ismael Navas-Delgado, José F. Aldana-Montes, jMetalSP: A framework for dynamic multi-objective big data optimization, Applied Soft Computing, 2018, vol. 69, pp. 737-748 
  7.  Cristóbal Barba-González, José García-Nieto, Ismael Navas-Delgado, José F. Aldana-Montes, Fine Grain Sentiment Analysis with Semantics in Tweets, International Journal of Interactive Multimedia and Artificial Intelligence, 2016, vol. 3, Nº 6 pp. 22-28 
  1.   Antonio J. Nebro, Manuel López-Ibañez,Cristóbal Barba-González, José García-Nieto (2019). Automatic Configuration of NSGA-II with jMetal and irace. GECCO 2019. 
  2.  Cristóbal Barba-González, José García-Nieto,Antonio Benítez-Hidalgo, Antonio J. Nebro, José F. Aldana-Montes (2018). Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform. IDC 2018. 
  3.  Antonio Benítez-Hidalgo, Antonio J. Nebro, Juan J. Durillo, José García-Nieto, Esteban López-Camacho, Cristóbal Barba-González, José F. Aldana-Montes (2018). About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework. IDC 2018. 
  4.  Antonio J. Nebro, Juan J. Durillo, José García-Nieto, Cristóbal Barba-González, Javier Del Ser, Carlos A. Coello Coello, Antonio Benítez-Hidalgo, José F. Aldana-Montes (2018). Extending the Speed-constrained Multi-Objective PSO (SMPSO) With Reference Point Based Preference Articulation. PPSN XV. 
  5.  Cristóbal Barba-González Vesa, Ojalehto, José García-Nieto, Antonio J. Nebro, Kaisa Miettinen, José F. Aldana-Montes (2018). Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods. PPSN XV. 
  6.  José A. Cordero , Antonio J. Nebro, José García-Nieto, Cristóbal Barba-González, Juan J. Durillo, Ismael Navas-Delgado, José F. Aldana-Montes (2016). Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study. MOD 2016. 
  1.  Sandro Hurtado-Requena, Cristóbal Barba-González, Maciej Rybiński, Francisco J. Barón López, Julia Wärnberg, Ismael Navas-Delgado, José F. Aldana-Montes (2018). Análisis de datos de acelerometría para la detección de tipos de actividades. MAEB 2018. 
  2.  Antonio J. Nebro, Ana B. Ruiz, Cristóbal Barba-González, José García-Nieto, Mariano Luque, José F. Aldana-Montes, Algoritmos Evolutivo Multi-Objectivo para la Toma de Decisiones Interactiva en la Optimización Dinámica, MAEB 2018 
  3.  Cristóbal Barba-González, Antonio J. Nebro, José García-Nieto,José A. Cordero, Juan J. Durillo, Ismael Navas-Delgado, José F. Aldana-Montes, Un framework para Big Data Optimization basado en jMetal y Spark, MAEB 2016 

Others

  • FPI grant

    Spanish Ministry of Economy and Competitiveness
    2016 - 2019

    FPI grant BES-2015-072209 from the Spanish Ministry of Economy and Competitiveness (2016-2019). Research and teaching Personnel Training

  • Short scientific visit

    University of Jyväskylä
    2017

    I visited in 2017 (August - December) the research group in Industrial Optimization leaded by the professor Kaisa Miettiene.

Software projects

Feel free to checkout Khaos Research Group Github page
jMetalSP
A framework for dynamic multi-objective optimization with metaheuristics.
BIGOWL
An ontology to support knowledge management in Big Data analytics.