Academic Work

• ORCID
• Google scholar
• ResearchGate
• Scopus

Sites of interest

Sustainable Development Goals

Research interests

• Pattern Recognition
• Image Recognition
• Artificial Neural Network
• Evolutionary Algorithms
• Computer Vision

Profile

Dr. Juan Villegas Cortez is a Professor at the Universidad Autónoma Metropolitana, Azcapotzalco Campus, where he conducts research in the fields of artificial intelligence and computer vision. He holds both a Ph.D. and a Master’s degree in Computer Science, as well as a Bachelor’s degree in Applied Mathematics. His research integrates bio-inspired metaheuristics, statistical pattern recognition, and machine learning architectures to develop advanced solutions in computational imaging and algorithm design.

He is a Level I member of Mexico’s National System of Researchers (SNII) and holds the PRODEP Desirable Profile recognition. He is an active member of IEEE, ACM, and the Mexican Society of Artificial Intelligence (SMIA). He also served as Dean of NASA’s LUNABOTICS competition, contributing to the integration of academic research and applied robotic engineering.

His scientific output includes 76 publications indexed in international databases, along with extensive participation in national and international technical conferences. In teaching, he has delivered more than 130 undergraduate and graduate courses and has supervised numerous doctoral, master’s, and engineering theses, playing a significant role in the training of specialized human resources.

In addition, he actively contributes as a technical reviewer for high-impact scientific journals and as a member of international conference program committees, strengthening the scientific ecosystem within his field of expertise.

Information provided by the academic staff

Research interests

• Pattern Recognition
• Image Recognition
• Artificial Neural Network
• Evolutionary Algorithms
• Computer Vision

Academic Work

On the following pages you can consult the research work:

• Google scholar

See publications

• ResearchGate

See publications

• Scopus

See publications

• ORCID

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Other sites of interest

Consult the research work on other websites:

• LinkedIn

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• Personal website

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Some examples of publications

Select the bibliographic reference to consult each publication:

Open Access	References	UN SDGs
	Torres-Licona, J.R., Villegas-Cortez, J., Puente-Montejano, C.A. and 1 more (...) (2025).Fire Risk Assessment in San Luis Potosí’s Middle Zone Using CBIR and Evolutionary Computation Techniques for Land Image Analysis. Communications in Computer and Information Science,255315-28
OA	Jiménez-Jiménez, S., Cordero-Sánchez, S., Villalobos García, R. and 2 more (...) (2025).The Effect of bcc lattices on the Drug Release Kinetics in Inert Systems by Monte Carlo Simulation. Journal of the Mexican Chemical Society,69(1) 24-38
	Garduza-Ventura, J.P., Villegas-Cortez, J., Zúñiga-López, A. and 3 more (...) (2025).Characterization and Classification of Mexican Woods Through Local Texture Analysis Using Deep Learning Techniques. Communications in Computer and Information Science,2553327-340
OA	Cordero-Sánchez, S., Esparza-Schulz, J.M., Ibarra, I.A. and 5 more (...) (2024).Review: Description of Porous Media and their Sorption Characteristics as Correlated Structures. Journal of the Mexican Chemical Society,68(4) 866-887
	Villegas-Cortez, J., Román-Alonso, G., Fernandez De Vega, F. and 2 more (...) (2024).Implementation of Parallel Evolutionary Convolutional Neural Network for Classification in Human Activity and Image Recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14391327-345
OA	Cruz-Carrasco, C., Díaz-Álvarez, J., Chávez de la O, F. and 2 more (...) (2024).Detection of Aspergillus flavus in Figs by Means of Hyperspectral Images and Deep Learning Algorithms. AgriEngineering,6(4) 3969-3988	\| 2\| 3 \|
	De Vega, F.F., Alvarado, J., Cortez, J.V. (2022).Optical Music recognition and Deep Learning: An application to 4-part harmony. 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings,
	Aguilar-Huerta, E., Cordero-Sánchez, S., Rojas-González, F. and 1 more (...) (2021).Description of the thickness of the adsorbed layer, identification of the instability characteristics of the liquid–vapour interface and assessment of criticality in elliptical pores through the Broekhoff de Boer theory. Adsorption,27(7) 1003-1011
	Villegas-Cortez, J., Benavides-Alvarez, C., Avilés-Cruz, C. and 4 more (...) (2021).Interest points reduction using evolutionary algorithms and CBIR for face recognition. Visual Computer,37(7) 1883-1897
	Aguilar-Huerta, E., Cordero-Sánchez, S., Rojas-González, F. and 2 more (...) (2020).Effect of the curvature during the course of adsorption in elliptical pores: a study under the framework of the Broekhoff de Boer approximation. Adsorption,26(4) 553-561

Courses taught by the professor in recent trimesters

*Courses are conducted in spanish

Num.	Trim.	Course Name	Level
1	25O	Métodos Numéricos en Ingeniería	Licenciatura
2	25O	Programación Estructurada	Licenciatura
3	25O	Investigación Doctoral IV	Posgrado
4	25O	Temas Selectos de Computación II	Posgrado
5	25P	Métodos Numéricos en Ingeniería	Licenciatura
6	25P	Algoritmos y Estructuras de Datos	Licenciatura
7	25P	Inteligencia Artificial	Posgrado
8	25P	Investigación Doctoral III	Posgrado
9	25I	Programación Estructurada	Licenciatura
10	25I	Algoritmos y Estructuras de Datos	Licenciatura
11	25I	Investigación Doctoral II	Posgrado
12	24O	Programación Estructurada	Licenciatura
13	24O	Temas Selectos de Inteligencia Artificial	Licenciatura
14	24O	Temas Selectos Interdivisionales VIII	Licenciatura
15	24O	Investigación Doctoral I	Posgrado
16	24P	Programación Estructurada	Licenciatura
17	24I	Taller Colaborativo de Investigación VI	Posgrado
18	24I	Programación Estructurada	Licenciatura
19	24I	Algoritmos y Estructuras de Datos	Licenciatura
20	23O	Programación Estructurada	Licenciatura
21	23O	Temas Selectos de Inteligencia Artificial	Licenciatura
22	23O	Seminario de Investigación en Computación II	Posgrado
23	23P	Programación Estructurada	Licenciatura
24	23P	Algoritmos y Estructuras de Datos	Licenciatura
25	23I	Temas Selectos de Computación I	Posgrado
26	23I	Algoritmos y Estructuras de Datos	Licenciatura
27	23I	Programación Estructurada	Licenciatura
28	22O	Programación Estructurada	Licenciatura
29	22O	Algoritmos y Estructuras de Datos	Licenciatura
30	22O	Seminario de Investigación en Computación II	Posgrado
31	22P	Programación Estructurada	Licenciatura
32	22P	Algoritmos y Estructuras de Datos	Licenciatura
33	22P	Seminario de Investigación en Computación II	Posgrado
34	22I	Programación Estructurada	Licenciatura
35	22I	Algoritmos y Estructuras de Datos	Licenciatura
36	22I	Inteligencia Artificial	Posgrado

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