Allan Antonio Flores-Fuentes received a Ph.D. degree in electronics engineering from Instituto Tecnológico de Toluca, México, in 2009. Since 2011, he has been with the Universidad Autónoma del Estado de México, where he is currently a Researcher. His research interest includes multilevel static converters and control by means of artificial intelligence applied to dielectric barrier discharges and their applications. Actualmente es miembro del Sistema Nacional de Investigadores Nivel 1.

 A. A. Flores-Fuentes, R. Peña-Eguiluz, R. López-Callejas, A. Mercado-Cabrera, R. Valencia A., S. R. Barocio, and A. de la Piedad-Beneitez, “Electrical Model of an Atmospheric Pressure Dielectric Barrier Discharge,” IEEE Trans. on Plasma Science, 37-1 (2008) 128-134, ISSN: 0093-3813. 22 CITAS.

Allan Antonio Flores-Fuentes, José Arturo Pérez-Martínez, Juan Fernando García-Mejía, Iván Osvaldo Rossano-Díaz, Carlos Eduardo Torres-Reyes, “Design and simulation of a resonant full-bridge multicell power inverter for high-voltage applications,” Ingeniería, Investigación y Tecnología UNAM, 19-3 (2018) 245-254. ISBN: 2594-0732

Rosendo Peña-Eguiluz, José A López-Hernández, Antonio Mercado-Cabrera, Bethsabet Jaramillo-Sierra, Régulo López-Callejas, Benjamín Rodíguez-Méndez, Raúl Valencia-Alvarado, Allan A Flores Fuentes and Arturo E Muñoz-Castro, “Atmospheric-pressure dielectric barrier discharge generation by a full-bridge flying capacitor multilevel inverter,” Plasma Science and Technology, 19 7 (2017)

Peña-Eguiluz R., Flores Fuentes A. A., A. Mercado-Cabrera, R. López-Callejas, B. Rodriguez-Méndez, R. Valencia-Alvarado, B. Jaramllo-Sierra, Hernández-Arias, “Stacked Class E Amplifier,” IEEE on Industrial Electronics, 67 10 (2019)

Rosendo Peña-Eguiluz, Member, IEEE, Jorge H. Serment-Guerrero, Erika P. Azorín-Vega, Antonio Mercado-Cabrera, Allan A. Flores-Fuentes, Betsabeth Jaramillo-Sierra,Alma N. Hernández-Arias, Karina Girón-Romero, Régulo López-Callejas, Benjamín G. Rodríguez-Méndez, and Raúl Valencia-Alvarado, “Development and Characterization of aNon-Thermal Plasma Source forTherapeutic Treatments,” IEEE Transactions on Biomedical Engineering, 68. 5 (2021)

M. Á. López-Pérez, A. A. Flores-Fuentes, R. Peña-Eguiluz, E. E. Granda-Gutiérrez, and J. F. García-Mejía, "Raspberry-based Low-resolution Thermal image system using a Smoothing Filter-based Kalman," 2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), Ixtapa, Mexico, 2022, pp. 1-6, doi: 10.1109/ROPEC55836.2022.10018775.

Rosales-Martínez, O., Flores-Fuentes, A.A., Mercado-Cabrera, A., Peña-Eguiluz, R., Granda-Gutiérrez, E.E., García-Mejía, J.F. (2023). Machine Learning for Identifying Atomic Species from Optical Emission Spectra Generated by an Atmospheric Pressure Non-thermal Plasma. In: Rivera, G., Cruz-Reyes, L., Dorronsoro, B., Rosete, A. (eds) Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications. Studies in Big Data, vol 132. Springer, Cham. https://doi.org/10.1007/978-3-031-38325-0_13

Reyes-Nava, A., Sánchez, J.S., Alejo, R., Flores-Fuentes, A.A., Rendón-Lara, E. (2018). Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays. In: Martínez-Trinidad, J., Carrasco-Ochoa, J., Olvera-López, J., Sarkar, S. (eds) Pattern Recognition. MCPR 2018. Lecture Notes in Computer Science(), vol 10880. Springer, Cham. https://doi.org/10.1007/978-3-319-92198-3_11

Reyes-Nava, A., Cruz-Reyes, H., Alejo, R., Rendón-Lara, E., Flores-Fuentes, A.A., Granda-Gutiérrez, E.E. (2019). Using Deep Learning to Classify Class Imbalanced Gene-Expression Microarrays Datasets. In: Vera-Rodriguez, R., Fierrez, J., Morales, A. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2018. Lecture Notes in Computer Science(), vol 11401. Springer, Cham. https://doi.org/10.1007/978-3-030-13469-3_6