// Curriculum Vitae

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Education

  1. Ph.D. 2009 — 2011.
    La Salle, Universitat Ramon Llull
    Dissertation title: Data complexity in supervised learning: A far-reaching implication.
    Ph.D. advisor: Dr. Ester Bernadó Mansilla
  2. DEA in Computer Engineering: 2007 — 2008.
    La Salle, Universitat Ramon Llull
    Dissertation title: Anàlisi de la relació entre la complexitat del problema i la precisió dels classificadors en mineria de dades.
    (Analysis of the relationship between the problem’s complexity and classifiers’ accuracy in data mining, in Catalan)
    DEA advisor: Dr. Ester Bernadó Mansilla
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  4. Master of Science in Computer Engineering: 2004 — 2006.
    La Salle, Universitat Ramon Llull
    Thesis title: Mesures de complexitat per a la transformació del problema de detecció de càncer basat en mamografies. (A with Honors)
    (Complexity measures for transforming the mammography-based cancer detection problem, in Catalan)
    Thesis supervisor: Dr. Ester Bernadó Mansilla
  5. Undergraduate Degree in Computer Engineering: 1999 — 2004.
    La Salle, Universitat Ramon Llull
    Thesis title: Disseny i implementació d’un GA-P.
    (Design and implementation of a GA-P, in Catalan)
    Thesis supervisor: Joan Camps Dausà

Research experience

  1. Member of the Grup de Recerca en Sistemes Intel·ligents (GRSI): 2007 — present.
    GRSI is a research group which has been recognized by the Generalitat de Catalunya, from 2002 under the references 2002SGR-00155, 2005SGR-00302, and 2008SGR-00183. The group focuses its research on practical applications of evolutionary computation and soft case-based reasoning.

Participation in research projects

  1. KEEL CNTC: Genetic-based machine learning, data complexity, unbalanced domains, data streams, and scalability: 2009 – present.
    KEEL CNTC is a continuation of KEEL II, which aims to conduct research on some of the hot topics in data mining such as evaluating the complexity of classification domains, learning from unbalanced domains and data streams, and improving the scalability of existing algorithms and building new scalable methods in order to solve large problems. The project was sponsored by the Ministerio de Educación y Ciencia under the national project with reference TIN2008-06681-C06-05.
  2. KEEL II: Rule-based Evolutive Models: 2005 — 2008.
    KEEL II continued with the development of a machine learning tool initiated in the KEEL project. KEEL II introduced the following novelties to the prototype: (1) new machine learning techniques and (2) algorithm evaluation methodologies. The project is sponsored by the Ministerio de Educación y Ciencia under the national project with reference TIN2005-08386-C05-04.
  3. The KEEL project developed a software tool that integrates a large variety of genetic-based machine learning techniques for pattern classification, regression, and clustering. KEEL provides an intuitive visual tool that permits to run experiments, compare algorithms, and extract classification models for user’s classification, regression, and unsupervised problems. The following five universities participate in the project: Universidad de Granada (UGR), Universidad de Córdoba (UCO), Universitat Ramon Llull (URL), Universidad de Jaén (UJ), and Universidad de Oviedo (UO).The project was sponsored by the Ministerio de Ciencia y Tecnología under the national project with reference TIC2002-04036-C05-03.

Awards and grants

  1. Ajudes a tercer cicle. Annual grant for Ph.D. studies. Govern d’Andorra and Fundació Crèdit Andorrà, (Andorra). October 2008 — September 2010.
  2. Beca BE (2009). Grant for research sojourn. Generalitat de Catalunya, (Spain). The scholarship funded my research visit to the Statistics and Learning Research Group at the Bell Laboratories – Alcatel-Lucent done from April 6, 2009 to October 6, 2009. Ref: 2009BE-00.
  3. Ajudes a tercer cicle. Annual grant for Ph.D. studies. Govern d’Andorra, (Andorra). October 2007 — September 2008.
  4. 1rst Prize of Research Contest “Hermano Salvador González” of Universidad La Salle México. Métricas de complejidad para la transformación del problema de detección de cáncer basado en mamografías.
    (Complexity measures for transforming the mammography-based cancer detection problem, in Spanish)
  5. Beca de recerca FUNITEC La Salle. Research grant. FUNITEC La Salle, (Spain). January 2007 — September 2007.
  6. Beca d’estudis universitaris. Schorlarship for university studies. Govern d’Andorra, (Andorra). 1999 — 2001.

Professional activities

  1. Reviewer. Pattern Recognition Letters.
  2. Reviewer. 4th International Conference on Hybrid Artificial Intelligent Systems, 2009.

Invited talks

  1. Testing learning classifier systems, joint talk with Dr. Jaume Bacardit and Dr. Ester Bernadó-Mansilla in the International Workshop on Learning Classifier Systems, July 2011, Dublin (Ireland).
  2. Distributed storage on the Cloud, joint talk with Joan Navarro, April 2011, Universidad Pública de Navarra, Pamplona (Spain).
  3. Synthesising data sets with targeted complexity, in Tuesday seminars organised by Dr. Henry Landau, October 2009, Bell Laboratories Alcatel-Lucent, New Jersey (USA).
  4. On the necessity of data set characterization for experimental analysis. Towards artificial data sets, in I Workshop on Knowledge Extraction based on Evolutionary Learning, May 2008 (Universidad de Granada).

Teaching experience

  1. Computer science collaboration. 2009 — 2010. Lecturer. Optional subject of the 5th year of Computer Engineering. La Salle – Universitat Ramon Llull, Barcelona (Spain)
  2. Mathematical Logic. 2007 — 2010. Lecturer. Compulsory subject of the 4th year of Computer Engineering. La Salle – Universitat Ramon Llull, Barcelona (Spain)
  3. Data structures. 2006 — 2007. Teaching assistant. Compulsory subject of the 2nd year of Computer Engineering. La Salle – Universitat Ramon Llull, Barcelona (Spain)