MSc. Niusvel Acosta-Mendoza is graduated of Computational Science Engineering from University of Informatics Sciences (UCI) of Havana, in 2007. During his student period he was an assistant lecturer in the Programming Department, where he taught several undergraduate courses from 2003 to 2007. In addition, he taught several undergraduate courses in UCI since 2007 until 2009. In October 2009, he received the Main Category of Professor Instructor in the same university. He is member of the Cuban Society of Mathematics and Computation and of the Cuban Association for Pattern Recognition since 2009.

In July 2013 he obtained the MSc degree in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE) of Mexico.

Currently, he is working as "Researcher" at the Data Mining Department of the Advanced Technologies Application Center (CENATAV), Cuba. It also performs PhD studies in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE) of Mexico under the advisement of Dr. Andrés Gago-Alonso, Dr. José Eladio Medina-Pagola, Dr. Jesús Ariel Carrasco Ochoa and Dr. José Francisco Martínez Trinidad.

MSc. Niusvel Acosta-Mendoza has been author of several scientific papers:

• 7 Articles in journals with impact factor (JCR),
• 3 Article in journals indexed by ACM, scielo, Zentralblatt, etc.,
• 7 Articles in proceedings (LNCS/LNAI),
• 5 Articles in conferences,
• 4 Technical Reports.

His research interests include but not restricted to:

• Frequent pattern mining associated to the analysis in graph-based content.
• Frequent approximate subgraph mining on graph and multi-graph collections.
• Graph and multi-graph classification.
• Representative frequent subgraphs.
• Supervised Classification.

• Member of the Cuban Association for Pattern Recognition (www.acrp.cenatav.co.cu), since September 2009.
• Member of the Cuban Society of Mathematics and Computing (SCMC), since September 2009.
• Member of the Union of Cuban Informatics (UIC), since October 2015.

• MSc. degree in Computational Science at National Institute of Astrophysics, Optics and Electronics of Mexico in 2013. [manuscript]
• Engineer of Computational Sciences. University of Informatics Sciences, Cuba, July 2007.

Advising:

BSc. Students

1. Vladimir Segura Fernández (Dissertation in June, 2014) [In conjuntion with Lic. Yadier Perdomo]. Graduate in Computational Science at University of Informatics Sciences (UCI). Thesis topic: Plataforma en línea para la ejecución distribuida y el análisis de los resultados de algoritmos para la minería de subgrafos frecuentes.
2. Keyla Herrera Ruiz (Dissertation in June, 2013) [In conjuntion with PhD. Andrés Gago-Alonso]. Graduated in Computer Science at Havana University (UH). Thesis topic: Closed Patterns in Time-evolving Graph.
3. Fidel C. Ortega and Dennis Muñiz (Dissertation in July, 2009). Graduate in Computational Science at University of Informatics Sciences (UCI). Thesis topic: LIMS de Calidad del Centro de Ingeniería Genética y Biotecnología: Implementación del Módulo de Inmunoquímica.
   
4. Lisandro Becerra and Osmar Bencomo (Dissertation in July, 2008). Graduate in Computational Science at University of Informatics Sciences (UCI). Thesis topic: LIMS de Calidad del Centro de Ingeniería Genética y Biotecnología: Análisis y Diseño del Módulo de Inmunoquímica.
5. René Fuente and Yosvani Quiala (Dissertation in July, 2008). Graduate in Computational Science at University of Informatics Sciences (UCI). Thesis topic: LIMS de Calidad del Centro de Ingeniería Genética y Biotecnología: Implementación del Módulo de Biología Molecular.
6. Anabel Vega and Alfredo Rodríguez (Dissertation in June, 2008). Graduate in Computational Science at University of Informatics Sciences (UCI). Thesis topic: LIMS de Calidad del Centro de Ingeniería Genética y Biotecnología: Diseño e Implementación de la Base de Datos del Módulo de Liberación Analítica.
7. Karina Mazaira and Yadira Cruz (Dissertation in June, 2008). Graduate in Computational Science at University of Informatics Sciences (UCI). Thesis topic: LIMS de Calidad del Centro de Ingeniería Genética y Biotecnología: Diseño del Grupo de Liberación Analítica.

Member of Local Commite in the following events:

1. The 18th Iberoamerican Congress on Pattern Recognition, Havana, Cuba, 2013.
2. The 22nd Iberoamerican Congress on Pattern Recognition, Valparaíso, Chile, 2017.

1. "Algoritmos de identificación de impresiones dactilares y palmares". Collaborator of the Annual Award of the Cuban Academy of Sciences, Havana, Cuba, 2016.
2. "Métodos para el reconocimiento automático de objetos combinando modelos de apariencia y relaciones espaciales y jerárquicas". Collaborator of the Annual Award of the Cuban Academy of Sciences, Havana, Cuba, 2015.
3. "La minería de subgrafos frecuentes aproximados". Best Paper Award in National Congress on Pattern Recognition (RECPAT'2012), Camagüey, Cuba, 2012.

4. "Sistema de procesamiento en paralelo para la búsqueda y comparación de impresiones dactilares". 

   Award for the Best Scientific and Technological Results, 2011.
5. "LIMS de Calidad para el Centro de Ingeniería Genética y Biotecnología de la Habana". Award nomination in the Best Project Leader category. University of Informatics Sciences (UCI), 2008.
6. Website "Bioinformatics in Cuba". Honorable Mention Award. The IEEE Computer Society 61th Anniversary History Competition, 2007.

Articles in journals with impact factor (JCR):

1. N. Acosta-Mendoza, A. Gago-Alonso, J.A. Carrasco-Ochoa, J.Fco. Martínez-Trinidad, J.E. Medina-Pagola. Extension of Canonical Adjacency Matrices for Frequent Approximate Subgraph Mining on Multi-graph Collections. International Journal of Pattern Recognition and Artificial Intelligence, Vol. 31, No. 28, 1750025: 1-25, 2017. [manuscript]
2. N. Acosta-Mendoza, A. Gago-Alonso, J.A. Carrasco-Ochoa, J.Fco. Martínez-Trinidad, J.E. Medina-Pagola. A new algorithm for approximate pattern mining in multi-graph collections. Knowledge-Based Systems, DOI: 10.1016/j.knosys.2016.07.003, vol. 109, pp. 198-207, 2016. [manuscript]
3. N. Acosta-Mendoza, A. Gago-Alonso, J.A. Carrasco-Ochoa, J.Fco. Martínez-Trinidad, J.E. Medina-Pagola. Improving Graph-Based Image Classification by using Emerging Patterns as Attributes. Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2016.01.030, Vol. 50, pp. 215-225, 2016. [manuscript]
4. N. Acosta-Mendoza, A. Morales-Reyes, H.J. Escalante, and A. Gago-Alonso. Learning to Assemble Classifiers via Genetic Programming. International Journal of Pattern Recognition and Artificial Intelligence, Vol. 28, No. 7, 19 pages, 2014. [manuscript]
5. A. Morales-González, N. Acosta-Mendoza, A. Gago-Alonso, E.B. García-Reyes, and J.E. Medina-Pagola. A New Proposal for Graph-Based Image Classification using Frequent Approximate Subgraphs. Pattern Recognition, 47(1):169-177, January 2014. [manuscript]
6. A. Gago-Alonso, A. Muñoz-Briseño, N. Acosta-Mendoza. A New proposal for Graph Classification using Frequent Geometric Subgraphs. Data & Knowledge Engineering, 87:243-257, 2013. [manuscript]
7. N. Acosta-Mendoza, A. Gago-Alonso, and J.E. Medina-Pagola. Frequent Approximate Subgraphs as Features for Graph-based Image Classification. Knowledge-Based Systems (ISSN: 0950-7051), 27:381-392, 2012. [manuscript]

Articles in journals indexed by ACM, scielo, Zentralblatt, etc.:

1. N. Acosta-Mendoza, A. Gago-Alonso, J.A. Carrasco-Ochoa, J.Fco. Martínez-Trinidad, J.E. Medina-Pagola. A Nectar of Frequent Approximate Subgraph Mining for Image Classification. Cuban Journal of Informatics Sciences (RCCI). ISSN:  2227-1899, Vol. 9 No. 1, 2015. [manuscript]
2. N. Acosta-Mendoza, J.A. Carrasco-Ochoa, J.F. Martínez-Trinidad, A. Gago-Alonso, and J.E. Medina-Pagola. Representative Pattern Mining in Graph Collections. Research in Computing Science. ISSN: 1870-4069, Vol. 71, pp 3-12, 2014. [manuscript]
3. N. Acosta-Mendoza, A. Gago-Alonso, and J.E. Medina-Pagola. CLASIFICACIÓN DE IMÁGENES UTILIZANDO MINERÍA DE SUBGRAFOS FRECUENTES APROXIMADOS. Cuban Journal of Informatics Sciences (RCCI). ISSN: 1994-1536, Vol. 5 No. 4, 2012. [manuscript]

Articles in proceedings (LNCS/LNAI):

1. N. Acosta-Mendoza, A. Gago-Alonso, J.A. Carrasco-Ochoa, J.F. Martínez-Trinidad, J.E. Medina-Pagola. Mining Generalized Closed Frequent Approximate Subgraphs from Multi-graph Collections. Accepted In Proceedings of the 22nd Iberoamerican Congress on Pattern Recognition (CIARP'2017), Springer-Verland Berlin Heidelberg, Valparaiso, Chile, 2017. [manuscript]
2. N. Acosta-Mendoza, J.A. Carrasco-Ochoa, J.F. Martínez-Trinidad, A. Gago-Alonso, J.E. Medina-Pagola. A New Method Based on Graph Transformation for FAS Mining in Multi-graph Collections. The 7th Mexican Conference on Pattern Recognition (MCPR'2015), Pattern Recognition, LNCS 9116, pp 13-22, 2015. [manuscript]
3. V. Herrera-Semenets, N. Acosta-Mendoza, A. Gago-Alonso. A Framework for Intrusion Detection based on Frequent Subgraph Mining. In proceedings of The Second SDM Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge (SDM-Networks 2015). In conjunction with 2015 SIAM international Conference on Data Mining (SDM15), Vancouver, BC, Canada, May, 2015. ISSN 2167‐0099. [manuscript]
4. N. Acosta-Mendoza, A. Gago-Alonso, J.A. Carrasco-Ochoa, J.F. Martínez-Trinidad, and J.E. Medina-Pagola. Feature Space Reduction for Graph-Based Image Classification. In Proceedings of the 18th Iberoamerican Congress on Pattern Recognition (CIARP'2013), Springer-Verland Berlin Heidelberg, Part I, LNCS 8258, pp.246-253, Havana, Cuba, 2013. [manuscript]
5. H.J. Escalante, N. Acosta-Mendoza, A. Morales-Reyes, and A. Gago-Alonso. Genetic Programming of Heterogeneous Ensembles for Classification. In Proceedings of the 18th Iberoamerican Congress on Pattern Recognition (CIARP'2013), Springer-Verland Berlin Heidelberg, Part I, LNCS 8258, pp.9-16, Havana, Cuba, 2013. [manuscript]
6. N. Acosta-Mendoza, A. Gago-Alonso, and J.E. Medina-Pagola. On Speeding up Frequent Approximate Subgraph Mining. in Proceedings of the 17th Iberoamerican Congress on Pattern Recognition (CIARP'2012), Springer-Verlag Berlin Heidelberg, LNCS 7441, pp. 316-323, Buenos Aires, Argentina, 2012. [manuscript]
7. N. Acosta-Mendoza, A. Morales-González, A. Gago-Alonso, E.B. García-Reyes, and J.E. Medina-Pagola. Image Classification using Frequent Approximate Subgraphs. in Proceedings of the 17th Iberoamerican Congress on Pattern Recognition (CIARP'2012), Springer-Verlag Berlin Heidelberg, LNCS 7441, pp. 292-299, Buenos Aires, Argentina, 2012. [manuscript]

Technical Reports:

1. N. Acosta-Mendoza, A. Gago-Alonso, J.E. Medina-Pagola, J.A. Carrasco-Ochoa, and J.F. Martínez-Trinidad. Minería de subgrafos frecuentes aproximados cerrados en colecciones de multi-grafo. Technical Report RT_038, Serie Gris, CENATAV - DATYS, Havana, Cuba, 2017. [manuscript]
2. N. Acosta-Mendoza, J.A. Carrasco-Ochoa, A. Gago-Alonso, J.F. Martínez-Trinidad, and J.E. Medina-Pagola. Representative Frequent Approximate Subgraph Mining in Multi-Graph Collections. Technical Report CCC-15-001, Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico, February 2015. [manuscript]
3. N. Acosta-Mendoza, A. Gago-Alonso, J.E. Medina-Pagola, J.A. Carrasco-Ochoa, and J.F. Martínez-Trinidad. La minería de subgrafos frecuentes aproximados para la clasificación de imágenes. Technical Report RT_027, Serie Gris, Advanced Technologies Application Center, Havana, Cuba, June 2014. [manuscript]
4. N. Acosta-Mendoza, A. Gago-Alonso, and J.E. Medina-Pagola. Minería de subgrafos frecuentes utilizando cotejo inexacto de grafos. Technical Report RT_017, Serie Gris, Advanced Technologies Application Center, La Habana, Cuba, June 2011. [manuscript]

Other publications:

1. E. Ferrera-Cedeño, E.B. García-Reyes, N. Acosta-Mendoza. Detección de grupos conversacionales en escenas de video-protección con aglomeraciones de personas. In memories of the XIV National Congress on Pattern Recognition (RECPAT'2016), pp. 302-309, Villa Clara, Cuba, 2016. [manuscript]
2. N. Acosta-Mendoza, A. Gago-Alonso, J.E. Medina-Pagola, J.A. Carrasco-Ochoa, and J.F. Martínez-Trinidad. Minería de subgrafos frecuentes aproximados para multi-grafos basada en transformaciones. In memories of the XIII National Congress on Pattern Recognition (RECPAT'2015), Santiago de Cuba, Cuba, 2015. [manuscript]
3. N. Acosta-Mendoza, A. Gago-Alonso, J.E. Medina-Pagola, J.A. Carrasco-Ochoa, and J.F. Martínez-Trinidad. El impacto de la selección de patrones en la clasificación de imágenes basada en minería de subgrafos frecuentes aproximados. In memories of the XII National Congress on Pattern Recognition (RECPAT'2014), ISBN 978-959-16-2284-6, Las Tunas, Cuba, 2014. [manuscript]
4. N. Acosta-Mendoza, A. Gago-Alonso, and J.E. Medina-Pagola. LA MINERÍA DE SUBGRAFOS FRECUENTES APROXIMADOS. In memories of the X National Congress on Pattern Recognition (RECPAT'2012), ISBN 978-959-16-2065-1, Camagüey, Cuba, 2012. [manuscript]
5. N. Acosta-Mendoza, A. Gago-Alonso, and J.E. Medina-Pagola. MEJORA PARA LA MINERÍA DE SUBGRAFOS FRECUENTES APROXIMADOS MEDIANTE LA REDUCCIÓN DEL ESPACIO DE BÚSQUEDA. In memories of the IX National Congress on Pattern Recognition (RECPAT'2011), ISBN 978-959-250-658-9, Santa Clara, Cuba, 2011. [manuscript]