Currículum Vítae

CONTACT INFORMATION

Last name: Medina-Pérez                           

Name(s): Miguel Angel

Gender: Male

Email (Aeroengy): miguelangel.medina@aeroengy.es

LinkedIn Profile: mx.linkedin.com/pub/miguel-angel-medina-pérez/56/a67/827/en

ResearchGate Profile: https://www.researchgate.net/profile/Miguel_Medina-Perez

ResearchID: T-1237-2019

Scopus Author ID: 15122367300

ORCID: 0000-0003-4511-2252

SUMMARY

I received my Ph.D. - degree in 2014 from the  National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico. My research interests include Recommender Systems, Anomaly Detection, Clustering, Machine Learning, Fingerprint Recognition, and Deep Learning.

I have experience developing and applying Machine Learning and Pattern Recognition algorithms to solve applied problems. A successful example is the most famous fingerprint and palm print recognition framework which has more than 1.3 million visits and 135 thousand downloads.

I have been involved in several research projects about pattern recognition, and I have published tens of papers in indexed journals (JCR) such as "Information Fusion," "IEEE Transactions on Affective Computing," "Pattern Recognition," "Knowledge-Based Systems," "Information Sciences," "Expert Systems with Applications," "Neurocomputing," and "IEEE Transactions on Information Forensics and Security."

TRAINING AND EDUCATION

Postgraduate degree: PhD. in Computer Sciences (National Institute of Astrophysics, Optics and Electronics, México, 2014)

Graduate degree: M.S. in Applied Informatics (University of Ciego de Ávila, Cuba, 2007)

Undergraduate degree: Informatics Engineer (University of Ciego de Ávila, Cuba, 2007)

PROFESSIONAL EXPERIENCE

Institution: Senior Data Scientist specialist / El Corte Inglés, Spain

Date: 15/07/2021 - 

Institution: Monterrey Institute of Technology and Higher Education (ITESM-CEM), México

Date: 01/16/2015 - 02/12/2022

Position / Activity: Research Professor / Development of Machine Learning algorithms.

Institution: Computer Vision Lab, National Institute of Astrophysics, Optics and Electronics, México

Date: 09/01/2014 - 12/31/2014

Position / Activity: Associate researcher / Development of a commercial SDK for fingerprint recognition.

Institution: National Institute of Astrophysics, Optics and Electronics, México

Date: 09/01/2010 - 08/31/2014

Position / Activity: Ph.D. Student / Development of algorithms for fingerprint and palmprint matching.

Institution: University of Las Palmas de Gran Canaria, Spain

Date: 02/17/2013 - 08/17/2013

Position / Activity: Ph.D. Student on a Research Stay / Development of algorithms for latent fingerprint identification.

Institution: Bioplants Center, University of Ciego de Ávila, Cuba

Date: 2009-2012

Position / Activity: Researcher / Development of pattern recognition techniques for Plant Biotechnology.

 Institution: Provincial Laboratory of Criminalistics of Ciego de Avila, Cuba

Date: 2007-2009

Position / Activity: Researcher / Development of pattern recognition techniques in Criminology.

TOP-JOURNALS PUBLICATIONS

1. O. Loyola-González, E. Ramírez-Sáyago, M. A. Medina-Pérez, "Towards improving decision tree induction by combining split evaluation measures," Knowledge-Based Systems, vol. 277, pp. 110832, 2023.  (Q1, IF: 8.8)

2. D. L. Aguilar, M. A. Medina-Pérez, O. Loyola-Gonzalez, K. -K. R. Choo and E. Bucheli-Susarrey, "Towards an interpretable autoencoder: A decision tree-based autoencoder and its application in anomaly detection," IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 2, pp. 1048-1059, 2023. (Q1, IF: 6.791) 

3. L. Cañete-Sifuentes, R. Monroy, M. A. Medina-Pérez, "FT4cip: A new functional tree for classification in class imbalance problems," Knowledge-Based Systems,  vol. 252, pp. 109294, 2022. (Q1, IF: 8.139)

4. J. Khodadoust, M. A Medina-Pérez, O. Loyola-González, R. Monroy, A. M. Khodadoust, "A secure and robust indexing algorithm for distorted fingerprints and latent palmprints," Expert Systems with Applications, vol. 206, pp. 117806, 2022. (Q1, IF: 8.665)

5. M. A. Zenkl-Galaz, O. Loyola-González, M. A. Medina-Pérez, "IOGOD: An interpretable outlier generation-based outlier detector for categorical databases," Expert Systems with Applications, vol. 195, no. 1, pp. 116570, 2022. (Q1, IF: 8.665)

6. R. E. Diaz-Ramos, D. A. Gomez-Cravioto, L. A. Trejo, C. Figueroa López, M. A. Medina-Pérez, "Towards a Resilience to Stress Index Based on Physiological Response," Sensors, vol. 21, no. 24, pp. 8293, 2021. (Q2, IF: 3.576)

7. L. M. Gallegos Salazar, O. Loyola-González, M. A. Medina-Pérez, "An explainable approach based on emotion and sentiment features for detecting people with mental disorders on social networks," Applied Sciences, vol. 11, no. 22, pp. 10932, 2021. (Q2, IF: 2.679)

8. G. I. Pérez-Landa, O. Loyola-González, M. A. Medina-Pérez, "An explainable artificial intelligence model for detecting xenophobic tweets," Applied Sciences, vol. 11, no. 22, pp. 10801, 2021. (Q2, IF: 2.679)

9. L. De Armas Jacomino, M. A. Medina-Pérez, R. Monroy, D. Valdes-Ramirez, C. Morell-Pérez, and R. Bello, "Dwell time estimation of import containers as an ordinal regression problem," Applied Sciences, vol. 11, no. 20, pp. 9380, 2021. (Q2, IF: 2.679)

10. L. Cañete-Sifuentes, Raúl Monroy, M. A. Medina-Pérez, "A review and experimental comparison of multivariate decision trees," IEEE Access, vol. 9, pp. 110451-110479, 2021. (Q1, IF: 3.367)

11. I. Lin, O. Loyola-González, R. Monroy, M. A. Medina-Pérez, "A Review of Fuzzy and Pattern-Based Approaches for Class Imbalance Problems," Applied Sciences, vol. 11, no. 14, pp. 6310, 2021. (Q2, IF: 2.679)

12. D. L. Aguilar, O. Loyola-González, M. A. Medina-Pérez, L. Cañete-Sifuentes, K.-K. Raymond Choo, "PBC4occ: A novel contrast pattern-based classifier for one-class classification," Future Generation Computer Systems, vol. 125, pp. 71-90, 2021. (Q1, IF: 7.187)

13. I. Pérez-Sánchez, B. Cervantes, M. A. Medina-Pérez, R. Monroy, O. Loyola-González, S. García, F. Herrera, "An indexing algorithm based on clustering of minutia cylinder codes for fast latent fingerprint identification," IEEE Access, vol. 9, pp. 85488-85499, 2021. (Q1, IF: 3.367)

14. O. Loyola-González, E. F. Ferreira Mehnert, A. Morales, J. Fierrez, M. A. Medina-Pérez, R. Monroy, "Impact of minutiae errors in latent fingerprint identification: assessment and prediction," Applied Sciences, vol. 11, no. 9, pp. 4187, 2021. (Q2, IF: 2.679)

15. L. D. Samper-Escalante, O. Loyola-González, R. Monroy, M. A. Medina-Pérez, "Bot datasets on Twitter: Analysis and challenges," Applied Sciences, vol. 11, no. 9, pp. 4105, 2021. (Q2, IF: 2.679)

16. E. J. Rivera Rios, M. A. Medina-Pérez, M. S. Lazo-Cortés, R. Monroy, "Learning-Based Dissimilarity for clustering categorical data," Applied Sciences, vol. 11, no. 8, pp. 3509, 2021. (Q2, IF: 2.679)

17. M. E. Villa-Pérez, M. A. Álvarez-Carmona, O. Loyola-González, M. A. Medina-Pérez, J. C. Velazco-Rossell,  K.-K. Raymond Choo, "Semi-supervised anomaly detection algorithms: A comparative summary and future research directions," Knowledge-Based Systems, vol. 218, pp. 106878, 2021. (Q1, IF: 8.038)

18. J. Khodadoust, M. A. Medina-Pérez, R. Monroy, A. M. Khodadoust, S. S. Mirkamali, "A multibiometric system based on the fusion of fingerprint, finger-vein, and finger-knuckle-print," Expert Systems with Applications, vol. 176, pp. 114687, 2021. (Q1, IF: 6.954)

19. V. A. Sosa Hernández, R. Monroy, M. A. Medina-Pérez, O. Loyola-González, F. Herrera, "A practical tutorial for decision tree induction: evaluation measures for candidate splits and opportunities," ACM Computing Surveys, vol. 54, no. 1, pp. 18:1-18:38, 2021. (Q1, IF: 7.990)

20. D. Valdes-Ramirez, M. A. Medina-Pérez, R. Monroy, "An ensemble of fingerprint matching algorithms based on cylinder codes and mtriplets for latent fingerprint identification," Pattern Analysis and Applications, vol. 24, pp. 433-444, 2021. (Q3, IF: 2.580)

21. O. Loyola-González, M. A. Medina-Pérez, R. A. Coronilla Valdez,  K.-K. Raymond Choo, "A contrast pattern-based scientometric study of the QS world university ranking," IEEE Access, vol. 8, pp. 206088-206104, 2020. (Q1, IF: 3.745)

22. O. Loyola-González, M. A. Medina-Pérez, K.-K. Raymond Choo, "A review of supervised classification based on contrast patterns: applications, trends, and challenges," Journal of Grid Computing, vol. 18, pp. 797-845, 2020. (Q2, IF: 2.095) 

23. A. J. Sanchez, L. F. Romero, D. Peralta, M. A. Medina-Pérez, Y. Saeys, F. Herrera, S. Tabik, "Asynchronous processing for latent fingerprint identification on heterogeneous CPU-GPU systems," IEEE Access, vol. 8, pp. 124236-124253, 2020. (Q1, IF: 3.745) 

24. O. Loyola-González, A. E. Gutierrez-Rodrígue, M. A. Medina-Pérez, R. Monroy, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, M. García-Borroto, "An explainable Artificial Intelligence model for clustering numerical databases," IEEE Access, vol. 8, pp. 52370-52384, 2020. (Q1, IF: 3.745) 

25. J. Rodríguez-Ruiz, R. Monroy, M. A. Medina-Pérez, O. Loyola-González, B. Cervantes, "Cluster validation in clustering-based one class classification," Expert Systems, vol. 36, no. 6, pp. e12475, 2019. (Q2, IF: 1.505)

26. B. Cervantes, F. Gómez, R. Monroy, O. Loyola-González, M. A. Medina-Pérez, J. Ramírez-Márquez, "Pattern-Based and Visual Analytics for Visitor Analysis on Websites," Applied Sciences, vol. 9, no. 18, pp. 3840, 2019. (Q2, IF: 2.217)

27. J. Benito Camiña, M. A. Medina-Pérez, R. Monroy, O. Loyola-González, L. A. Pereyra-Villanueva, L. C. González-Gurrola, "Bagging-RandomMiner: A one-class classifier for file access-based masquerade detection," Machine Vision and Applications, vol. 30, no. 5, pp.  959-974, 2019. (Q2, IF: 1.788)

28. L. A. Trejo, V. Ferman, M. A. Medina-Pérez, F. M. A. Giacinti, R. Monroy and J. E. Ramírez-Márquez, "DNS-ADVP: A machine learning anomaly detection and visual platform to protect top-level domain name servers against DDoS attacks," IEEE Access, vol. 7, pp. 116358-116369, 2019. (Q1, IF: 4.098)

29. L. Cañete-Sifuentes, R. Monroy, M. A. Medina-Pérez, O. Loyola-González, F. Vera Voronisky, "Classification based on multivariate contrast patterns," IEEE Access, vol. 7, pp. 55744-55762, 2019.  (Q1, IF: 4.098) 

30. J. Rodríguez, M. A. Medina-Pérez, R. Monroy,  O. Loyola-González, "A survey on minutiae-based palmprint feature representations, and a full analysis of palmprint feature representation role in latent identification performance," Expert Systems with Applications, vol. 131, pp. 30-44, 2019.  (Q1, IF: 4.292)

31. D. Valdes-Ramirez, M. A. Medina-Pérez, R. Monroy,  O. Loyola-González, J. Rodríguez, A. Morales, F. Herrera, "A review of fingerprint feature representations and their applications for latent fingerprint identification: trends and evaluation," IEEE Access, vol. 7, pp. 48484-48499, 2019.  (Q1, IF: 4.098)

32. O. Loyola-González, M. A. Medina-Pérez, D. Hernández-Tamayo, R. Monroy, J. Ariel Carrasco-Ochoa, M. García-Borroto, "A pattern-based approach for detecting pneumatic failures on Temporary Immersion Bioreactors," Sensors, vol. 19, no. 2, pp. 414, 2019.  (Q1, IF: 3.031)

33. O. Loyola-González, A. López-Cuevas, M. A. Medina-Pérez, B. Camiña, R. Monroy, J. E. Ramirez-Marquez, "Fusing pattern discovery and visual analytics approaches in tweet propagation," Information Fusion, vol. 46, pp. 91-101, 2019. (Q1, IF: 10.716)

34. J. Rodríguez, M. A. Medina-Pérez, A. E. Gutierrez-Rodríguez, R. Monroy, H. Terashima-Marín, "Cluster validation using an ensemble of supervised classifiers," Knowledge-Based Systems, vol. 145, pp. 134-144, 2018. (Q1, IF: 5.101) 

35. B. Cervantes, R. Monroy, M. A. Medina-Pérez, M. González-Mendoza, J. Ramirez-Marquez, "Some features speak loud, but together they all speak louder: A study on the correlation between classification error and feature usage in decision-tree classification ensembles," Engineering Applications of Artificial Intelligence, vol. 67, pp. 270-282, 2018. (Q1, IF: 3.526) 

36. A. López-Cuevas, M. A. Medina-Pérez, R. Monroy, J. Ramírez Márquez, L. A. Trejo, "FiToViz: A visualisation approach for real-time risk situation awareness," IEEE Transactions on Affective Computing, vol. 9, no. 3, pp. 372 -382, 2018. (Q1, IF: 6.288) 

37. M. A. Medina-Pérez, R. Monroy, J. Benito Camiña, M. García-Borroto, "Bagging-TPMiner: a classifier ensemble for masquerader detection based on typical objects," Soft Computing, vol. 21, no. 3, pp. 557-569, 2017. (Q2, IF: 2.367)

38. A. Y. Barrera-Animas, L. A. Trejo, M. A. Medina-Pérez, R. Monroy, J. Benito Camiña,  F. Godínez, "Online personal risk detection based on behavioural and physiological patterns," Information Sciences, vol. 384, pp. 281-297, 2017. (Q1, IF: 4.305)

39. O. Loyola-González, M. A. Medina-Pérez, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, R. Monroy, M. García-Borroto, "PBC4cip: A new contrast pattern-based classifier for class imbalance problems," Knowledge-Based Systems, vol. 115, pp. 100-109, 2017. (Q1, IF: 4.396)

40. J. Rodríguez, A. Y. Barrera-Animas, L. A. Trejo, M. A. Medina-Pérez, R. Monroy, "Ensemble of one-class classifiers for personal risk detection based on wearable sensor data," Sensors, vol. 16, no. 10, pp. 1619, 2016.  (Q1, IF: 2.677)

41. J. Benito Camiña, R. Monroy, L. Trejo, M. A. Medina-Pérez, "Temporal and spatial locality: an abstraction for masquerade detection," IEEE Transactions on Information Forensics and Security, vol. 11, no. 9, pp. 2036-2051, 2016. (Q1, IF: 2.677)

42. M. A. Medina-Pérez, A. Morales-Moreno, M. A. Ferrer-Ballester, M. García-Borroto, O. Loyola-González, L. Altamirano-Robles, "Latent fingerprint identification using deformable minutiae clustering," Neurocomputing, vol. 175, Part B, pp. 851–865, 2016. (Q1, IF: 4.332)

43. O. Loyola-González, M. A. Medina-Pérez, M. García-Borroto, "Inducing Decision Trees based on a Cluster Quality Index," IEEE Latin America Transactions, vol. 13, no. 4, pp. 1141-1147, 2015. (Q4, IF: 0.436)

44. M. A. Medina-Pérez, M. García-Borroto, A. E. Gutierrez-Rodriguez, L. Altamirano-Robles, "Improving fingerprint verification using minutiae triplets," Sensors, vol. 12, pp. 3418-3437, 2012. (Q1, IF: 1.953)

45. M. García-Borroto, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, M. A. Medina-Pérez, and J. Ruiz-Shulcloper, "LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification," Pattern Recognition, vol. 43, pp. 3025-3034, 2010. (Q1, IF: 2.682)

OTHER PUBLICATIONS

1. J. Khodadoust, R. Monroy, M. A. Medina-Pérez, O. Loyola-González, W. Kusakunniran, A. Boller, P. Terhörst, "A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field," Intelligent Systems with Applications, 2023.  (In Press)

2. E. Ramírez-Sáyago, O. Loyola-González, M. A. Medina-Pérez, "Towards inpainting and denoising latent fingerprints: a study on the impact in latent fingerprint identification," Lecture Notes in Computer Science,  vol. 12088, pp. 76-86, 2020.

3. L. Pellegrin, O. Loyola-González, J. Ortiz-Bejar, M. A. Medina-Pérez, A. E. Gutiérrez-Rodríguez, E. S. Tellez, M. Graff, S. Miranda-Jiménez, D. Moctezuma, M. García-Limón, A. Morales-Reyes, C. A. Reyes-García, E. Morales, H. J. Esclalante, "Image Annotation as Text-Image Matching: Challenge Design and Results," Computación y Sistemas, vol. 23, no. 4, pp. 1305–1321, 2019. 

4. D. Valdes-Ramirez, M. A. Medina-Pérez, R. Monroy, "Stacking fingerprint matching algorithms for latent fingerprint identification," Lecture Notes in Computer Science,  vol. 11896, pp. 230-240, 2019.

5. O. Loyola-González, M. A. Medina-Pérez, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, "The Mexican Conference on Pattern Recognition after ten editions: a scientometric study," Lecture Notes in Computer Science,  vol. 11524, pp. 315-326, 2019.

6. O. Loyola-González, R. Monroy, M. A. Medina-Pérez, B. Cervantes, J. E. Grimaldo-Tijerina, "An approach based on contrast patterns for bot detection on web log files," Lecture Notes in Computer Science,  vol. 11288, pp. 276-285, 2019.

7. A. J. Sanchez, L. F. Romero, S. Tabik, M. A. Medina-Pérez, F. Herrera, "A first step to accelerating fingerprint matching based on deformable minutiae clustering," Lecture Notes in Computer Science, vol. 11160, pp. 361-371 , 2018.

8. L. Pereyra, D. García-Gil, F. Herrera, L. C. Gonzalez-Gurrola, J. Carrasco, M. A. Medina-Pérez, R. Monroy, "Bagging-RandomMiner - Un Algoritmo en MapReduce para Deteccion de Anomalías en Big Data," in: II Workshop en Big Data y Analisis de Datos Escalable, España, 2018, pp. 1105-1110 .

9. J. Rodríguez, L. Cañete, R. Monroy, M. A. Medina-Pérez, "Experimenting with masquerade detection via user task usage," International Journal for Interactive Design and Manufacturing, vol. 11, no. 4, pp. 771-784, 2017.

10. A. Morales-Moreno, M. A. Medina-Pérez, M. A. Ferrer-Ballester, M. García-Borroto, and L. Altamirano-Robles, "LPIDB v1.0 - Latent Palmprint Identification Database," in: IEEE International Joint Conference on Biometrics (IJCB 2014), Florida, USA, 2014, pp. 1-6.

11. M. A. Medina-Pérez, O. Loyola-González, A. E. Gutierrez-Rodríguez, M. García-Borroto, and L. Altamirano-Robles, "Introducing an experimental framework in C # for fingerprint recognition," Lecture Notes in Computer Science, vol. 8495, pp. 132–141, 2014.

12. O. Loyola-González, M. García-Borroto, M. A. Medina-Pérez, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, and G. Ita, "An empirical study of oversampling and undersampling methods for LCMine an emerging pattern based classifier," Lecture Notes in Computer Science, vol. 7914, pp. 264–273, 2013.

13. M. A. Medina-Pérez, M. García-Borroto, A. E. Gutierrez-Rodriguez, L. Altamirano-Robles, "Improving the multiple alignments strategy for fingerprint verification," Lecture Notes in Computer Science, vol. 7329, pp. 147-154, 2012.

14. M. A. Medina Pérez and J. Ruiz Shulcloper, Algoritmos de votación para clasificación supervisada: Métodos de selección de objetos. Saarbrücken, Deutschland: Editorial Académica Española, 2012, p. 60. (ISBN: 978-3-659-04948-4) (in Spanish)

15. M. A. Medina-Pérez and M. R. Hechemendía, Búsqueda rápida del vecino más cercano: Nuevos algoritmos para espacios semimétricos finito dimensionales. Saarbrücken, Deutschland: Editorial Académica Española, 2012, p. 55. (ISBN: 978-3-659-04988-0) (in Spanish)

16. M. A. Medina-Pérez, M. García-Borroto, A. E. Gutierrez-Rodriguez, L. Altamirano-Robles, "Robust fingerprint verification using m-triplets," in: International Conference on Hand-Based Biometrics (ICHB 2011), Hong Kong, 2011, pp. 1-5.(DOI: 10.1109/ICHB.2011.6094348. E-ISBN: 978-1-4577-0489-5. Print ISBN: 978-1-4577-0491-8).

17. A. E. Gutierrez-Rodriguez, M. A. Medina-Perez, J. F. Martinez-Trinidad, J. A. Carrasco-Ochoa, and M. Garcia-Borroto, "New dissimilarity measures for ultraviolet spectra identification," Lecture Notes in Computer Science, vol. 6256, pp. 220-229, 2010.

18. M. A. Medina-Pérez, A. Gutiérrez-Rodríguez, and M. García-Borroto, "Improving fingerprint matching using an orientation-based minutia descriptor," Lecture Notes in Computer Science, vol. 5856, pp. 121-128, 2009.

19. M. García-Borroto, M. A. Medina-Pérez, Y. Villuendas-Rey, and J. Ruiz-Schulcloper, "Búsqueda rápida del vecino más similar en espacios no métricos," Revista Cubana de Ciencias Informáticas, vol. 3, no. 1–2, pp. 5–11, 2009. (in Spanish)

20. M. A. Medina Pérez and J. Ruiz Shulcloper, "Estado del arte de combinación de algoritmos de cotejo de huellas dactilares," CENATAV, Ciudad de la Habana, Reporte Técnico RT_017, Diciembre 2009. (in Spanish)

21. M. A. Medina Pérez, Y. Villuendas Rey, A. Gutiérrez Rodríguez, M. García Borroto, and J. Ruiz Shulcloper, "Estado del arte de formas de representación de las huellas dactilares," CENATAV, Ciudad de la Habana, Reporte Técnico RT_016, Diciembre 2009. (in Spanish)

22. Y. Villuendas Rey, M. Rodríguez-Echemendía, M. A. Medina Pérez, M. García Borroto and J. Ruiz Shulcloper, "Métodos para acelerar la búsqueda de los k vecinos más cercanos utilizando distancias y disimilaridades," CENATAV, Ciudad de la Habana, Reporte Técnico RT_007, Diciembre 2008. (in Spanish)

23. M. García Borroto, Y. Villuendas Rey, M. A. Medina Pérez, J. Martínez López, and J. Ruiz Shulcloper, "Selección y construcción de objetos para el mejoramiento de un clasificador supervisado: un análisis crítico," CENATAV, Ciudad de la Habana, Reporte Técnico RT_003, Julio 2008. (in Spanish)

24. M. A. Medina-Pérez, M. García-Borroto, and J. Ruiz-Shulcloper, "Object selection based on subclass error correcting for ALVOT," Lecture Notes in Computer Science, vol. 4756, pp. 496-505, 2007.

25. Y. Villuendas-Rey, M. García-Borroto, M. A. Medina-Pérez, and J. Ruiz-Shulcloper, "Simultaneous features and objects selection for mixed and incomplete data," Lecture Notes in Computer Science, vol. 4225, pp. 597-605, 2006.

26. M. A. Medina-Pérez, M. García-Borroto, Y. Villuendas-Rey, and J. Ruiz-Shulcloper, "Selecting objects for ALVOT," Lecture Notes in Computer Science, vol. 4225, pp. 606-613, 2006.

PHD’S THESES ADVISED

1. A novel functional tree for class imbalance problems (Tecnologico de Monterrey, México; December 2nd, 2022. Student: Leonardo Mauricio Cañete Sifuentes).

2. A classifier-based fusion algorithm for latent fingerprint identification based on a neural network (Tecnologico de Monterrey, México; June 14th, 2021. Student: Danilo Valdes-Ramirez).

3. Enhancing one-class classification for masquerade- and personal risk-detection, using clustering and a cluster validity index (Tecnologico de Monterrey, México; December 9th, 2017. Student: Jorge Rodríguez Ruiz).

MASTER’S THESES ADVISED

1. Combination of Multiple Split Evaluation Measures in C4.5  (Tecnologico de Monterrey, México; December 2nd, 2022. Student: Ernesto Ramírez Sáyago).

2. An explainable artificial intelligence model for detecting xenophobic Tweets. (Tecnologico de Monterrey, México; May 11th, 2021. Student: Gabriel Ichcanziho Pérez Landa).

3. An Interpretable Autoencoder for Semi-Supervised Anomaly Detection. (Tecnologico de Monterrey, México; December 1st, 2021. Student: Diana Laura Aguilar).

4. Contrast pattern-based classification on sentiment features for detecting people with mental disorders on social media. (Tecnologico de Monterrey, México; July 29th, 2021. Student: Leslie Marjorie Gallegos Salazar).

5. Quantifying the impact of missing minutiae on latent fingerprint identification. (Tecnologico de Monterrey, México; November 19th, 2020. Student: Emilio Francisco Ferreira Mehnert). 

6. Detección de anomalías en series de tiempo de datos del agua utilizando un enfoque de aprendizaje profundo. (Universidad Autónoma de Chihuahua, Chihuahua; September 11th, 2020. Student: Sergio Alberto Valdés Rabelo). 

7. Algoritmo de indexación basado en código cilíndrico de minucias para una rápida identificación de huellas latentes dactilares. (Tecnologico de Monterrey, México; July 4th, 2019. Student: Ismay Pérez Sánchez). 

8. Mining contrast patterns from multivariate decision trees (Tecnologico de Monterrey, México; May 28th, 2018. Student: Leonardo Mauricio Cañete Sifuentes). 

9. A software framework for fingerprint recognition (University of Ciego de Ávila, Cuba; June, 7th, 2012. Student: Octavio Loyola González).

10. Algorithms for nearest neighbor search in finite dimensional semi metric spaces (University of Ciego de Ávila, Cuba; June, 30th, 2009. Student: Mairín Rodríguez Echemendía).

11. New algorithms for comparing ultraviolet spectra for substance identification (University of Ciego de Ávila, Cuba; December, 1st, 2009. Student: Andrés Eduardo Gutierrez Rodriguez).

UNDERGRADUATE’S THESES ADVISED

1. A fingerprint and palmprint identification system in the Provincial Laboratory of Criminalistics of Ciego de Avila, Cuba (University of Ciego de Ávila, Cuba; June, 30th, 2011. Student: Darren Edwin Barnes).

PATENTS

1. M. A. Medina-Pérez, A. Morales-Moreno, M. A. Ferrer-Ballester, M. García-Borroto, L. Altamirano-Robles, "Sistema y método para la comparación de huellas dactilares y palmares basada en múltiples clústeres deformables de minucias coincidentes," No. ES2581593, Spain, 2018.

2. M. A. Medina-Pérez, A. Morales-Moreno, M. A. Ferrer-Ballester, M. García-Borroto, L. Altamirano-Robles, "Sistema y método para la comparación de huellas dactilares y palmares basada en múltiples clústeres deformables de minucias coincidentes," No. MX/a/2015/002939, México, 2015.

3. C. E. Santiesteban Toca, M. García Borroto, R. Más del Risco, E. L. Báez Pérez, Y. Villuendas Rey, M. A. Medina-Pérez, J. Martínez López, B. Pérez Falcón, "Biok SAGE. Sistema de Análisis de Geles de Electroforesis," No. 2101-2004, Cuba, 2004.