Knowledge Discovery and Intelligent Systems - KDIS - University of Cordoba

José María Luna

Email: jmluna@uco.es
Postal address: Rabanales Campus, "Albert Einstein" building, 3rd floor. 14071, Córdoba (Spain)

Short Biography

José María Luna graduated in Computer Science with honours at the University of Córdoba (Spain) in 2009. Right after that, he started his PhD, receiving his MSc degree by the University of Granada in 2011, and his PhD with a grade of summa cum laude in Computer Science by the same university in January 2014. His PhD candidacy was granted by the Spanish Ministry of Education under the FPU AP2010-0041 grant.

During his PhD candidacy, Dr. Luna worked on the extraction of association rules by introducing subjective knowledge by means of grammars. As a PhD student, Dr. Luna did a short research stay (3 months in 2012) with Prof. Mykola Pechenizkiy (Eindhoven University of Technology, TU/e) to work on pattern mining and, more specifically, on context-aware and exceptional association rules. Since that, Dr. Luna maintains a close relationship with the Information Systems Group (Eindhoven University of Technology, TU/e). He has done different research stays in the aforementioned research group with which he has participated on different projects as external collaborator.

Currently, Dr. Luna has been awarded with a JdC - training PostDoc grant financed by the ministry of economy and competitiveness (Government of Spain). Dr. Luna is author of the book "Pattern Mining with Evolutionary Algorithms", published by Springer in 2016. He has published more than 30 papers in top ranked journals and international scientific conferences, and he is author of two book chapters. His research is focused on pattern mining, and he is interested in mining patterns on flexible data.

National Activity

	Research projects
		MARFIL: Mining data with more flexible representations. TIN2014-55252-P (2015-2018). Funded by Spanish Ministry (project budget 70k €) iNsPIrED: New problems in knowledge discovery: a genetic programming approach. TIN2011-22408 (2012-2014). Funded by Spanish Ministry (project budget 64k €) ATECSE: Aplicación de Técnicas de Extracción de Conocimiento en los Sistemas Educativos. P08-TIC-03720 (2009-2012). Funded by the Regional Ministry of Andalucia (project budget 173k €)

International Activity

	Research stays
		Prof. Dr. Mykola Pechenizkiy. Eindhoven University of Technology (TU/e). Sept '15-Nov '15 Prof. Dr. Mykola Pechenizkiy. Eindhoven University of Technology (TU/e). Dec '14-Mar '15 Prof. Dr. Paul De Bra. Eindhoven University of Technology (TU/e). Sept '12-Dec '12
	Collaborations
		King Abdulaziz University, Saudi Arabia Kingdom Amin. Y. Noaman, J. M. Luna, A. H. M. Ragab and S. Ventura. Recommending degree studies according to students' attitudes in high school by means of subgroup discovery. International Journal of Computational Intelligence Systems, Vol. 9, No. 6 (2016), pp. 1101-1117 Vilnius University, Lithuani J. M. Luna, A. Cano, V. Sakalauskas and S. Ventura. Discovering useful patterns from multiple instance data. Information Science, Vol. 357 (2016), pp. 23-38 Eindhoven University of Technology (TU/e), the Netherlands J. M. Luna, M. Pechenizkiy and S. Ventura. Mining exceptional relationships with grammar-guided genetic programming. Knowledge and Information Systems, 47(3): 571--594. 2016 J. M. Luna, A. Cano, M. Pechenizkiy and S. Ventura. Speeding-Up Association Rule Mining With Inverted Index Compression.IEEE Transactions on Cybernetics, Online first (2016) Virginia Commonwealth University, Richmond J. M. Luna, A. Cano, V. Sakalauskas and S. Ventura. Discovering useful patterns from multiple instance data. Information Science, Vol. 357 (2016), pp. 23-38 A. Cano, J. M. Luna, E. Gibaja and S. Ventura. LAIM discretization for multi-label data. Information Science, Vol. 330 (2016), pp. 370-384 J. M. Luna, A. Cano, M. Pechenizkiy and S. Ventura. Speeding-Up Association Rule Mining With Inverted Index Compression.IEEE Transactions on Cybernetics, Online first (2016)
	Research projects
		CAPA: Context-Aware Predictive Analytics (2011-2015) funded by Technology Foundation STW, a subdivision of the main Dutch research funding agency, NWO: Netherlands Organisation for Scientific Research (project budget 427k €) LADA: Learning Analytics Dashboard Applications (2013-2014) funded by Surf Foundation that supports application-driven research and ICT development in Dutch higher education and research (project budget 30k €) CurriM: Curriculum Mining (2012) funded by Surf Foundation that supports application-driven research and ICT development in Dutch higher education and research (project budget 30k €)