Airel Pérez Suárez is an Associate Researcher in the Data Mining Department at the Advanced Technologies Application Centre (CENATAV), Cuba. He received his BSc in Computer Science from the Havana University in 2002. In July 2008 he obtained the MSc degree in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE) and, in July 2011, he received his PhD degree in Computational Sciences from the same institution. He is member of the Cuban Society of Mathematics and Computation and of the Cuban Association for Pattern Recognition since 2005.
Dr. Airel Pérez Suárez has focused his researches on clustering, but his interests also cover other areas of Data Mining such as Supervised Classification, Frequent Patterns, Association Rules, Emerging Patterns and Community detection on Social Networks. He has participated in several international conferences and published articles in high impact journals. Previous appointments include Professor of computer science at Informatics Sciences University (UCI), Cuba from 2002-2004. Head of Computer Department of the Bioinformatic Faculty at Informatics Sciences University (UCI), Cuba from 2004-2005.

His research interests include but not restricted to:

• Data Mining
• Clustering
• Community Detection on Social Networks
• Supervised Classification
• Emerging Patterns
• Metaheuristics
• Big Data Analysis

• Member of the Cuban Society of Mathematics and Computing, since 2005.
• Member of the Cuban Association for Pattern Recognition, since 2005.
• Member of the Expert Committee of the Cuban Journal of Computational Sciences,
  since 2014.
• Member of the Technical Committee of the PSD-MCPR, since 2014.

Education and Training:

• 2011: PhD in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico
• 2008: MSc in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico
• 2002: BSc in Computer Science at Havana University (UH), Cuba.

Work Experience:

• 2013-2016: Associate Researcher, CENATAV
• 2009-2013: Assistant Researcher, CENATAV
• 2006-2009: Junior Researcher, CENATAV
• 2005-2006: General Specialist in Informatics, CENATAV
• 2004-2005: Head of Computer Department, Bioinformatic Faculty at Informatics Sciences University (UCI)
• 2002-2004: Professor, Informatics Sciences University (UCI)

Scientific international collaborations:

• Academic Research stay in the National Institute of Astrophysics, Optics and Electronics (INAOE), with PhD. J.F. Mart´ınez-Trinidad and PhD. J.A. Carrasco-Ochoa, for two months in 2011 and 2012.

Teaching records:

• Compilers Techniques and languages. Bachelor Degree Course. Computer Science Department, Informatics Science University (UCI), 2004-2005, (90 hours).
• Data structures and Algorithms. Bachelor Degree Course. Computer Science Department, Informatics Science University (UCI), 2004-2005, (90 hours).
• Introduction to Object Oriented Programming (OOP). Bachelor Degree Course. Computer Science Department, Informatics Science University (UCI), 2003-2004, (90 hours).
• Object Oriented Programming with C#). Bachelor Degree Course. Computer Science
  Department, Informatics Science University (UCI), 2003-2004, (90 hours).
• Logic and Algorithms. Bachelor Degree Course. Computer Science Department, Informatics Science University (UCI), 2002-2003, (90 hours).
• Introduction to Programming. Bachelor Degree Course. Computer Science Department, Informatics Science University (UCI), 2002-2003, (90 hours).

Supervised Theses:

Bachelor degree

• Máximo Rodríguez Collada. Proposals for improving the bag-of-words approach for objects classification on images. (co-supervised with Dr. Leonardo Chang). University of Havana (UH), La Habana, Cuba, 2015.
• Lázaro Janier González Soler. Design, Analysis and Development of parallels versions of the OClustR algorithm. (co-supervised with MSc. Leonardo Chang). University of Havana (UH), La Habana, Cuba, 2014.
• Reynaldo Lázaro Aguilar Casajuana. A method for information Filtering based on the OClustR Algorithm in the context of profile search. (co-supervised with BSc. Gustavo
  Lara Alvarez. University of Havana (UH), La Habana, Cuba, 2014.
• Argenis Aldair Aroche Villaruel. An experimental platform for overlapping clustering algorithms. (co-supervised with PhD. J.F. Martínez-Trinidad, PhD. J.A. Carrasco-Ochoa, and PhD. J.A. Olvera Lápez). Benemérita Universidad Autónoma de Puebla (BUAP), Facultad de Ciencias de la Computación, Puebla, México, 2013.
• Gail García Delgado. An study about document clustering algorithms and a tool for
  their evaluation. University of Havana (UH). Havana, Cuba, 2008.

Master degree:

• Argenis Aldair Aroche Villaruel. An overlapping clustering algorithm for Data Stream. (co-supervised with PhD. J.F. Martínez-Trinidad, PhD. J.A. Carrasco-Ochoa). National Institute for Astrophysics, Optics and Electronics (INAOE), Puebla, México. 2015.
• Rafael Zamudio Reyes. Class decomposition through several techniques in order to improve Naive Bayes Classification. (co-supervised with PhD. Nicandro Cruz Ramírez). Universidad Veracruzana (UV), Veracruz, México, 2013.

In progress:

• Lázaro Janier González Soler. Ph.D. Topic: Fingerprint fake detection (co-supervised with PhD. José Hernández). CENATAV, Cuba
• Darian Horacio Grass Boada. Ph.D. Topic: Multiobjective optimization algorithms for community detection on Social Networks (co-supervised with PhD. Alejandro Rosello and PhD. Rafael Bello). CENATAV, Cuba.
• Victor Manuel Mendiola. Ph.D. Topic: Supervised and Unsupervised Classification of multidimensional and multiway data (co-supervised with PhD. Isneri Talavera, PhD. María de Mársico and PhD. Yenisel Plasencia). CENATAV, Cuba

• Best Annual Scientific and Technological Result, Havana, Cuba, 2015
• Best Annual Scientific Results: Cuban Academy of Sciences, Havana, Cuba, 2012.
• Best Annual Scientific and Technological Result, Havana, Cuba, 2012.
• Acknowledgement of the governor of the state of Puebla, for obtaining high quality results in doctoral studies. Puebla, Mexico, 2011.
• Scholarship No. 32040 from the CONACYT program for doctoral studies, Mexico. January
  2009 to September 2011.

Books:

• Roger Pérez Chávez, Antonio Fernández Orquín, Airel Pérez Suárez, Raudel Hernández León. Programación Orientada a Objetos con C Sharp. MES, ISBN: 959-16-0231-6, (2003).

Chapters in books:

• Raudel Hernández León, Airel Pérez Suárez, Claudia Feregrino Uribe. A Compression Algorithm for Mining Frequent Itemsets. New Trends in Electrical Engineering, Automatic Control, Computing and Communication Sciences, Chapter 24, Edited by Carlos A. Coello Coello, Alez Poznyak, José Antonio Moreno Cadenas and Vadim Azhmyakov, Ed. Logos Verlag, Alemania, pp. 485-499, (2010).

Refereed Journal Papers (Included in the Journal Citation Reports):

• Airel Pérez Suárez, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa, José E. Medina Pagola. OClustR: A New Graph-based Algorithm for Overlapping Clustering. Neurocomputing 121:234-247. (2013). DOI:10.1016/j.neucom.2013.04.025.
• Airel Pérez Suárez, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa, José E. Medina Pagola. An Algorithm based on Density and Compactness for Dynamic Overlapping Clustering. Pattern Recognition 46(11): 3040-3055. (2013).
• Airel Pérez Suárez, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa, José E. Medina Pagola. A Dynamic Clustering Algorithm for Building Overlapped Clusters. Intelligent Data Analysis, 16(2): 211-232. (2012).

Refereed Conferences Publications (Included in the Conference Proceedings Citation Index):

• Chang, L., Pérez-Suárez, A., Rodríguez-Collada, M., Hernández-Palancar, J., Arias-Estrada, M., and Enrique Sucar, L.: “Assessing the Distinctiveness and Representativeness of Visual Vocabularies”. In: Proceedings of the 20th Iberoamerican Congress on Pattern Recognition (CIARP 2015), LNCS 9423, pp. 331-338 (2015)
• Aroche-Villarruel, A.A., Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., and Pérez-Suárez, A.: “A different approach for pruning micro-clusters in Data Stream Clustering”. In: Proceedings of the 7th Mexican Conference on Pattern Recognition, MCPR 2015, Mexico City, Mexico, LNCS 9116, 2015, pp. 33-43. (2015).
• González Soler, L.J., Pérez-Suárez, A., and Chang, L.: “Efficient Overlapping Document Clustering Using GPUs and Multi-core Systems”. In: Proceedings of the 19th Iberoamerican Congress on Pattern Recognition (CIARP 2014), LNCS 8827, pp. 264-271 (2014).
• Aroche-Villarruel, A.A., Carrasco-Ochoa, J.A., Mart´ınez-Trinidad, J.F., Olvera-López, J.A., and Pérez-Suárez, A.: “Study of overlapping clustering algorithms based on Kmeans through FBcubed Metric”. In: Proceedings of the 6th Mexican Conference on
  Pattern Recognition, MCPR 2014, Cancún, Mexico. LNCS 8495, pp. 112-121 (2014).
• Airel Pérez Suárez, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa, José E. Medina Pagola. A new Overlapping Clustering Algorithm based on Graph Theory. In Proceedings of the 11th Mexican International Conference on Artificial Intelligence (MICAI 2012). San Luis Potosí, México. LNAI 7629, pp. 61-72. (2012).
• Airel Pérez Suárez, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa, José E. Medina Pagola. A New Incremental Algorithm for Overlapped Clustering. In Proceedings of the 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009). Guadalajara, México. LNCS 5856, pp. 497-504. (2009).
• Airel Pérez Suárez, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa, José E. Medina Pagola. A New Graph-based Algorithm for Clustering Documents. In Proceedings of the Foundations of Data Mining Workshop at International Conference of Data Mining Workshop's (FDM-ICDM 2008). Pisa, Italia. pp. 710-719. (2008).
• Raudel Hernández León, Airel Pérez Suárez, Claudia Feregrino Uribe, Zobeida Jezabel Guzmán Zavaleta. An Algorithm for Mining Frequent Itemsets. In Proceedings of 5th International Conference on Electrical Engineering, Computing Science and Automatic Control, México, Indexed by IEEE. pp. 334-339. (2008).
• Andrés Gago Alonso, Airel Pérez Suárez, José E. Medina Pagola. ACONS: A New Algorithm for Clustering Documents. In Proceeding of the XII Iberoamerican Congress of Pattern Recognition (CIARP 2007), Viña del Mar, Chile. LNCS 4756, pp. 664-673. (2007).
• Airel Pérez Suárez, José E. Medina Pagola. A Clustering Algorithm based on Generalized Stars. In Proceeding of the 5th International Conference of Machine Learning and Data Mining in Pattern Recognition (MLDM 2007), Leipzig, Alemania. LNAI 4751, pp. 248-262. (2007).

Non-Refereed Journal Publications:

• González Soler, L.J., Pérez-Suárez, A., and Chang, L.: “Algoritmo incremental de
  agrupamiento con traslape para el procesamiento de grandes colecciones de datos”.
  International Journal of Knowledge and Technology Management, 3(2): 1-12 (2015).
• Argenis Aldair Aroche Villaruel, J. Arturo Olvera López, Manuel Martín Ortíz, José Francisco Martínez Trinidad, Jesús Ariel Carrasco Ochoa, Airel Pérez Suárez. Plataforma para la evaluación de Algoritmos de agrupamiento con traslape. Modelos Matemáticos y TIC: Teoría y Aplicaciones. Vol. 2, Chap. 2 MM 11/10/2013, pp.23-42, ISBN 978-607-487-353-5, México.
• Airel Pérez Suárez, Raudel Hernández León, José E. Medina Pagola, José Hernández Palancar. La Minería de Datos en apoyo al trabajo policial. TECNICRIM RECIDT, ISSN 1684-6826. (2012).
• Airel Pérez Suárez, José E. Medina Pagola. A Generalized Star Algorithm for Clustering. Memorias del 2do. Simposio Internacional sobre Tecnologías de la Información en Organizaciones Informacionales (SITIO 2007), Editorial "Samuel Feijóo", ISBN 978-959-250-326-7. (2007).

Non-Refereed Conferences Publications

• Grass-Boada, D., Pérez-Suárez, A.: La detección de comunidades en redes estaticas mediante enfoque multi-objetivo, RECPAT2016, ISBN 978-959-312-205-4 (2016).
• González Soler, L. J., Hernández-Palancar, J. and Pérez-Suárez, A. "Análisis de los diferentes enfoques utilizados para el reconocimiento de falsificaciones en impresiones dactilares", RECPAT2016, ISBN 978-959-312-205-4 (2016).
• González Soler, L. J., Pérez-Suárez, A., and Leonardo Chang: Algoritmo incremental de agrupamiento con traslape basado en GPU para el procesamiento de grandes colecciones de datos. Memorias de COMPUMAT2015, ISBN: 978-959-286-036-0. (2015).
• Rodríguez-Collada, M. Pérez-Suárez, A., Chang, L.: Propuestas para el mejoramiento del enfoque BoW en la clasificación de objetos, Memorias de RECPAT2015, ISBN:978-959-207-540-5. (2015).
• González Soler, L. J., Pérez-Suárez, A., and Leonardo Chang: Algoritmos eficientes para el agrupamiento con traslape, utilizando GPU y sistemas multi-núcleo. Memorias del RECPAT2014, ISBN: 978-959-16-2284-6. (2014).
• Pérez-Suárez, A., Medina-Pagola. J.E.: DOCDC: Un Nuevo Algoritmo de Agrupamiento Dinámico para construir grupos con Traslape. Memorias del RECPAT2012, ISBN: 978-959-16-2065-1. (2012)
• Romero-Cartaya, A.I., Hernández-Rojas, L., Rodríguez, A.Y., Pérez-Suárez, A.,
  Medina-Pagola, J.E.: Sistema de Recuperaci´on de InformaciUn Científica del CENATAV. IV Conferencia Científica de la Universidad de las Ciencias Informáticas
  UCIENCIA 2008 ISBN: 978-959-286-007-0. Ciudad de La Habana. Cuba. (2008)
• Hernández-León, R., Pérez-Suárez, A., Hernández-Palancar, J.: Algoritmo de Clasificación basado en Reglas de Asociación. IV Conferencia Científica de la Universidad de las Ciencias Informáticas UCIENCIA 2008, ISBN: 978-959-286-007-0. Ciudad de La Habana. Cuba. (2008).
• Pérez-Chávez, R., Fernández-Orquín, A., Pérez-Suárez, A., Hernández-León, R.: Introducción a la Programación desde un enfoque Orientado a Objetos. Memorias de Informática 2004, ISBN: 959-237-117-2. Ciudad de La Habana. Cuba. (2004).

Technical Reports:

• Gonzáles-Soler, L.J., Hernández-Palancar, J. and Pérez-Suárez, A.: Estado del arte sobre el reconocimiento de falsificaciones en impresiones dactilares. Reporte Técnico del CENATAV, RT-83. (2016).
• Grass-Boada, D., Pérez-Suárez, A.: Algoritmos multi-objetivo para la detección de comunidades: un estado del arte. Reporte Técnico del CENATA V, RT-34. (2016).
• Lara-Alvarez, G., Pérez-Suárez, A.: “Detección de comunidades con traslape en redes complejas: Un Estado del Arte”. Reporte Técnico del CENATAV, RT-028. (2015).
• Pérez-Suárez, A., Medina-Pagola: “Algoritmos para el agrupamiento conceptual de
  objetos”. Reporte Técnico del CENATAV, RT-024. (2014).
• Airel Pérez Suárez, José E. Medina Pagola, Raudel Hernández-León y Andrés Gago-Alonso. Análisis de redes sociales: una introducción. Reporte Técnico del CENATAV, RT-020. (2013).
• Airel Pérez Suárez, José E. Medina Pagola, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa. Algoritmos jerárquicos y no jerárquicos para la construcción de grupos con traslape en contextos dinámicos. Reporte Técnico del CENATAV, RT-019. (2012).
• Airel Pérez Suárez, José Fco. Martínez Trinidad, José E. Medina Pagola, Jesús A. Carrasco Ochoa. Algoritmos Dinámicos para el Agrupamiento con Traslape. Reporte Técnico del INAOE, No. CCC-10-001. (2010).
• Airel Pérez Suárez, Gail García Delgado, José E. Medina Pagola, José Fco. Martínez Trinidad, Jesús A. Carrasco Ochoa. Algoritmos de agrupamiento para colecciones de documentos. Reporte Técnico del CENATAV, RT-005. (2008).
• José E. Medina-Pagola, José Hernández-Palancar, Raudel Hernández-León, Airel Pérez-Suárez, Abdel Hechavarría-Díaz, Ricardo A. Gonzales-Gazapo. Generación de Conjuntos de Ítems y Reglas de Asociación. Reporte Técnico del CENATAV, RT-003. (2007).