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Perfil investigador
Esp
Dr. Eric Alfredo Rincón García

Professor
Departament of Electrical Engineering

Division of Basic Sciences and Engineering


Level 1
Member of the National System of Researchers
(SNII)

Physics-Mathematics and Earth Sciences



Iztapalapa Campus

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Academic Work

• ORCID
• Scopus


Sustainable Development Goals

• 4 Quality Education


Research interests

• Application of heuristics to optimization problems
• Applications of artificial intelligence

Profile

Dr. Eric Alfredo Rincón García graduated in Mathematics from the National Autonomous University of Mexico in 2003. He completed a Master's and Doctorate in engineering, in operations research, at the National Autonomous University of Mexico in 2007 and 2010, respectively.

He is currently assigned to the Department of Electrical Engineering of the Universidad Autónoma Metropolitana, Iztapalapa Campus. He is a member of the National System of Researchers level 1 and has the desirable PROMEP profile from 2012 to date.

He has participated as a member of the Committee in Postgraduate Studies Information Sciences and Technologies from 2019 to date. Your primary research areas are heuristic and metaheuristic methods for continuous and discrete optimization and artificial intelligence applications.



Information provided by the academic staff

Research interests

• Application of heuristics to optimization problems
• Applications of artificial intelligence

Academic Work

On the following pages you can consult the research work:






Some examples of publications

Select the bibliographic reference to consult each publication:


Open Access References UN SDGs
Montes-Orozco, E., Mora-Gutiérrez, R.A., Rincón-García, E.A. and 3 more (...) (2026).Simulating Microaggressions in Organizational Environments: An Agent-Based Modeling Approach to Psychological Safety and Intervention Design. Journal of Multiple-Valued Logic and Soft Computing,47(5-6) 621-643
Galindo-Medina, J.M., Mora-Gutiérrez, R.A., López, R.B.S. and 7 more (...) (2026).Implementation of Both a Digital Learning Object and Strategies of Games for Teaching Probability and Statistics in a Hybrid Environment. EAI/Springer Innovations in Communication and Computing,65-934
De-Los-Cobos-Silva, S.G., Gutiérrez-Andrade, M.A., Lara-Velázquez, P. and 3 more (...) (2025).MULTI-LABEL CLASSIFICATION FOR SPANISH EMERGENCY TRIAGE IN SATURATED COMMUNICATION ENVIRONMENTS: A PRECISION-ORIENTED APPROACH. Fuzzy Economic Review,30(1) 15-26
Montes-Orozco, E., Mora-Gutiérrez, R.A., Rincón-García, E.A. and 4 more (...) (2025).SWARM INTELLIGENCE FOR RESILIENCE IN MULTILAYER CRITICAL NETWORKS. Fuzzy Economic Review,30(2) 3-209
Montes-Orozco, E., Mora-Gutiérrez, R.-A., de-los-Cobos-Silva, S.-G. and 3 more (...) (2024).Quantifying influential nodes in complex networks using optimization and particle dynamics: a comparative study. Computing,106(3) 821-864
Montes-Orozco, E., Mora-Gutiérrez, R.A., de-los-Cobos-Silva, S.G. and 4 more (...) (2024).Analyzing Robustness in Water Distribution Networks Using Temporal Complex Networks and Optimization. EAI/Springer Innovations in Communication and Computing,57-71
OAHernández-Nava, C.A., Rincón-García, E.A., Lara-Velázquez, P. and 3 more (...) (2023).Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients. PeerJ Computer Science,9
OAMontes-Orozco, E., Mora-Gutiérrez, R.A., De-Los-Cobos-Silva, S.G. and 4 more (...) (2023).Communities Detection in Multiplex Networks Using Optimization: Study Case - Employment in Mexico during the COVID-19 Pandemic. Complexity,20233
Lara-Caballero, A., Rincón-García, E.A., Gutiérrrez-Andrade, M.A. and 3 more (...) (2022).POPULATION-BASED SIMULATED ANNEALING FOR FEDERAL REDISTRICTING IN MEXICO. Fuzzy Economic Review,27(1) 19-33
OAMontes-Orozco, E., Mora-Gutiérrez, R.-A., De-Los-Cobos-Silva, S.-G. and 3 more (...) (2022).Analysis and Characterization of the Spread of COVID-19 in Mexico through Complex Networks and Optimization Approaches. Complexity,20223
Santiago-Rubio, I., Mora-Gutiérrez, R., Montes Orozco, E. and 4 more (...) (2022).Analysis of Poverty Through Educational Lag Using the Maximum Clique into the Complex. Lecture Notes in Networks and Systems,38497-1081|8
Cruz-Ruiz, I.O., Lara-Velázquez, P., Rincón-García, E.A. and 4 more (...) (2021).OPTIMIZATION OF K-MEANS WITH SIMULATED ANNEALING HEURISTICS. Fuzzy Economic Review,26(2) 33-54
Montes-Orozco, E., Mora-Gutiérrez, R.A., Obregón-Quintana, B. and 4 more (...) (2021).Methodology to quantify robustness in networks: case study—Higher Education System in Mexico. Computing,103(5) 869-893
Hernández Nava, C.A., Lara-Velázquez, P., Sánchez-Larios, H. and 5 more (...) (2021).GENERALIZED METRICS IN CLASSIFIERS. Fuzzy Economic Review,26(2) 3-14
Urueta-Hinojosa, D.E., Lara-Velázquez, P., Gutiérrez-Andrade, M.A. and 3 more (...) (2020).A comparative clustering model that considers false positives and false negatives in some socioeconomic applications. Fuzzy Economic Review,25(2) 45-67
OAContreras-Murillo, M., de-Los-Cobos-Silva, S.G., Lara-Velázquez, P. and 3 more (...) (2020).Sex classification via 2D-skeletonization. Mathematical Problems in Engineering,2020
OAMontes-Orozco, E., Mora-Gutiérrez, R.-A., Obregón-Quintana, B. and 4 more (...) (2020).Inverse Percolation to Quantify Robustness in Multiplex Networks. Complexity,2020
OAMontes-Orozco, E., Mora-Gutierrez, R.-A., De-Los-Cobos-Silva, S.-G. and 6 more (...) (2020).Identification of COVID-19 Spreaders Using Multiplex Networks Approach. IEEE Access,8122874-1228833
Contreras-Murillo, S., de-los-Cobos-Silva, S., Mora-Gutiérrez, R.A. and 3 more (...) (2020).Measurement of cladodes of Opuntia spp. in three-dimensional photographs. Agrociencia,54(2) 177-194

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Courses taught by the professor in recent trimesters

*Courses are conducted in spanish

Num.Trim.Course NameLevel
1
26P
Temas Selectos de Ingeniería en Sistemas Mecatrónicos VLicenciatura
2
26P
Proyecto de Investigación II: Inteligencia ArtificialLicenciatura
3
26P
Proyecto de Investigación II: Inteligencia ArtificialLicenciatura
4
26P
Proyecto de Investigación I: Inteligencia ArtificialLicenciatura
5
26P
Proyecto de Investigación I: Inteligencia ArtificialLicenciatura
6
26P
Inteligencia ArtificialLicenciatura
7
26P
Temas Selectos en Computación IIILicenciatura
8
26I
Proyecto de Investigación I Inteligencia ArtificialLicenciatura
9
26I
Inteligencia ArtificialLicenciatura
10
26I
Proyecto de Investigación I Inteligencia ArtificialLicenciatura
11
26I
Proyecto de Investigación IIIPosgrado
12
26I
Proyecto de Investigación IIIPosgrado
13
26I
Seminario IPosgrado
14
26I
Temas Selectos de Ciencias de la ComputaciónLicenciatura
15
25O
Proyecto de Investigación IIPosgrado
16
25O
Introducción a la Probabilidad y EstadísticaPosgrado
17
25O
Proyecto de Investigación IIPosgrado
18
25O
Proyecto de Investigación II Inteligencia ArtificialLicenciatura
19
25P
Inteligencia ArtificialLicenciatura
20
25P
Inteligencia ComputacionalPosgrado
21
25P
Proyecto de Investigación IPosgrado
22
25P
Proyecto de Investigación IPosgrado
23
25P
Proyecto de Investigación I Inteligencia ArtificialLicenciatura
24
25I
Inteligencia Artificial AplicadaPosgrado
25
25I
Inteligencia ArtificialLicenciatura
26
25I
Proyecto de Investigación II Inteligencia ArtificialLicenciatura
27
25I
Proyecto de Investigación II Inteligencia ArtificialLicenciatura
28
24O
Técnicas Heurísticas Bio-Inspiradas en la OptimizaciónLicenciatura
29
24O
Análisis y Diseño de AlgoritmosLicenciatura
30
24O
Introducción a la Probabilidad y EstadísticaPosgrado
31
24O
Proyecto de Investigación I Inteligencia ArtificialLicenciatura
32
24O
Proyecto de Investigación II Inteligencia ArtificialLicenciatura
33
24O
Proyecto de Investigación IIIPosgrado
34
24P
Inteligencia ArtificialLicenciatura
35
24P
Proyecto de Investigación I Inteligencia ArtificialLicenciatura
36
24P
Proyecto de Investigación IIPosgrado
37
24I
Seminario de Investigación Doctoral IIIPosgrado
38
24I
Inteligencia ArtificialLicenciatura
39
24I
Investigación Doctoral IXPosgrado
40
24I
Métodos Matemáticos para la Inteligencia ArtificialPosgrado
41
24I
Proyecto de Investigación IPosgrado
42
23O
Inteligencia Artificial AplicadaPosgrado
43
23O
Investigación Doctoral VIIIPosgrado
44
23P
Inteligencia ArtificialLicenciatura
45
23P
Inteligencia ArtificialPosgrado
46
23P
Investigación Doctoral VIIPosgrado
47
23P
Temas Selectos de Ciencias de la ComputaciónLicenciatura
48
23I
Investigación Doctoral VIPosgrado
49
23I
Inteligencia ArtificialLicenciatura
50
23I
Métodos Matemáticos para la Inteligencia ArtificialPosgrado
51
23I
Seminario de Investigación Doctoral IIPosgrado
52
22O
Inteligencia de EnjambreLicenciatura
53
22O
Investigación Doctoral VPosgrado
54
22O
Proyecto de Investigación II Inteligencia ArtificialLicenciatura
55
22O
Técnicas Heurísticas Bio-Inspiradas en la OptimizaciónLicenciatura
56
22P
Inteligencia de EnjambreLicenciatura
57
22P
Técnicas Heurísticas Bio-Inspiradas en la OptimizaciónLicenciatura
58
22P
Seminario de Investigación Doctoral IIIPosgrado
59
22P
Proyecto de Investigación IIPosgrado
60
22P
Proyecto de Investigación I Inteligencia ArtificialLicenciatura
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Universidad Autónoma Metropolitana, 2026.