Academic Work

• ORCID
• Scopus

Sustainable Development Goals

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:

• Scopus

See publications

• ORCID

See publications

Some examples of publications

Select the bibliographic reference to consult each publication:

Open Access	References	UN SDGs
	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
	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
OA	Montes-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,2023	\| 3 \|
OA	Hernández-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
OA	Montes-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,2022	\| 3 \|
	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
	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,38497-108	\| 1\| 8 \|
	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
	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
	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
OA	Montes-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,8122874-122883	\| 3 \|
	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
	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
OA	Montes-Orozco, E., Mora-Gutiérrez, R.-A., Obregón-Quintana, B. and 4 more (...) (2020).Inverse Percolation to Quantify Robustness in Multiplex Networks. Complexity,2020
OA	Contreras-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

Courses taught by the professor in recent trimesters

*Courses are conducted in spanish

Num.	Trim.	Course Name	Level
1	25O	Introducción a la Probabilidad y Estadística	Posgrado
2	25O	Proyecto de Investigación II	Posgrado
3	25O	Proyecto de Investigación II	Posgrado
4	25O	Proyecto de Investigación II Inteligencia Artificial	Licenciatura
5	25P	Inteligencia Artificial	Licenciatura
6	25P	Proyecto de Investigación I Inteligencia Artificial	Licenciatura
7	25P	Proyecto de Investigación I	Posgrado
8	25P	Proyecto de Investigación I	Posgrado
9	25P	Inteligencia Computacional	Posgrado
10	25I	Inteligencia Artificial Aplicada	Posgrado
11	25I	Proyecto de Investigación II Inteligencia Artificial	Licenciatura
12	25I	Proyecto de Investigación II Inteligencia Artificial	Licenciatura
13	25I	Inteligencia Artificial	Licenciatura
14	24O	Análisis y Diseño de Algoritmos	Licenciatura
15	24O	Técnicas Heurísticas Bio-Inspiradas en la Optimización	Licenciatura
16	24O	Proyecto de Investigación I Inteligencia Artificial	Licenciatura
17	24O	Proyecto de Investigación II Inteligencia Artificial	Licenciatura
18	24O	Introducción a la Probabilidad y Estadística	Posgrado
19	24O	Proyecto de Investigación III	Posgrado
20	24P	Inteligencia Artificial	Licenciatura
21	24P	Proyecto de Investigación I Inteligencia Artificial	Licenciatura
22	24P	Proyecto de Investigación II	Posgrado
23	24I	Seminario de Investigación Doctoral III	Posgrado
24	24I	Investigación Doctoral IX	Posgrado
25	24I	Métodos Matemáticos para la Inteligencia Artificial	Posgrado
26	24I	Inteligencia Artificial	Licenciatura
27	24I	Proyecto de Investigación I	Posgrado
28	23O	Inteligencia Artificial Aplicada	Posgrado
29	23O	Investigación Doctoral VIII	Posgrado
30	23P	Inteligencia Artificial	Licenciatura
31	23P	Temas Selectos de Ciencias de la Computación	Licenciatura
32	23P	Inteligencia Artificial	Posgrado
33	23P	Investigación Doctoral VII	Posgrado
34	23I	Inteligencia Artificial	Licenciatura
35	23I	Métodos Matemáticos para la Inteligencia Artificial	Posgrado
36	23I	Investigación Doctoral VI	Posgrado
37	23I	Seminario de Investigación Doctoral II	Posgrado
38	22O	Proyecto de Investigación II Inteligencia Artificial	Licenciatura
39	22O	Investigación Doctoral V	Posgrado
40	22O	Técnicas Heurísticas Bio-Inspiradas en la Optimización	Licenciatura
41	22O	Inteligencia de Enjambre	Licenciatura
42	22P	Inteligencia de Enjambre	Licenciatura
43	22P	Inteligencia Artificial	Licenciatura
44	22P	Técnicas Heurísticas Bio-Inspiradas en la Optimización	Licenciatura
45	22P	Proyecto de Investigación I Inteligencia Artificial	Licenciatura
46	22P	Investigación Doctoral IV	Posgrado
47	22P	Investigación Doctoral IX	Posgrado
48	22P	Seminario de Investigación Doctoral III	Posgrado
49	22P	Proyecto de Investigación II	Posgrado
50	22I	Inteligencia Artificial	Licenciatura
51	22I	Investigación Doctoral III	Posgrado
52	22I	Seminario de Investigación Doctoral I	Posgrado
53	22I	Investigación Doctoral VIII	Posgrado

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