Elkin Gelvez-Almeida

Universidad Simón Bolivar
San José de Cúcuta, Norte de Santander, Colombia (map)
Currículum Vitae de LatinoAmerica y el Caribe (CvLAC | Minciencias)
email: elkin dot gelvez at unisimon dot edu dot co
Google Scholar;       Research Gate;       ORCID

About Me

I am an Associate Professor and researcher in the Faculty of Basic and Biomedical Sciences at Universidad Simón Bolívar in San José de Cúcuta - Colombia. I am an Associate Researcher at Colombia's Ministry of Science, Technology, and Innovation. I am also a Scientific Modeling and Business Innovation Research Group (GIMCINE) member. My research interests revolve around applied mathematical modeling and mathematics education. My CV and academic background is as follows:

Research

My research interests focus on mathematical modeling, pattern recognition, and mathematics education. I am dedicated to exploring how mathematical models can be used to understand and predict complex systems. Also, I focus on leveraging neural networks and other advanced techniques to improve data analysis and decision-making processes. Additionally, I am passionate about enhancing the teaching and learning of mathematics, focusing on methodologies that make mathematical concepts more accessible and engaging. Below is a list of the projects in which I have participated.

Publications

Journal

  1. E. Gelvez-Almeida, R. J. Barrientos, K. Vilches-Ponce, M. Mora, Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion, Scientific Reports, 14, 16104, 2024, doi: 10.1038/s41598-024-66676-9
  2. E. Gelvez-Almeida, R. J. Barrientos, K. Vilches-Ponce, M. Mora, A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks, Mathematical and Computational Applications, 29(3), 40, 2024, doi: 10.3390/mca29030040
  3. E. Gelvez-Almeida, R. J. Barrientos, K. Vilches-Ponce, M. Mora, A Parallel Computing Method for the Computation of the Moore–Penrose Generalized Inverse for Shared-Memory Architectures, IEEE Access, 11, 134834-134845, 2023, doi: 10.1109/ACCESS.2023.3338544
  4. E. Gelvez-Almeida, M. Mora, Y. Huérfano-Maldonado, E. Salazar-Jurado, N. Martínez-Jeraldo, R. Lozada-Yavina, Y. Baldera-Moreno and L. Tobar, Estimation of the optimal number of neurons in extreme learning machine using simulated annealing and the golden section, Journal of Physics: Conference Series, 2515(1), 012003, 2020, doi: 10.1088/1742-6596/2515/1/012003
  5. E. Gelvez-Almeida, A. Vásquez,-Coronel, R. Guatelli, V. Aubin and M. Mora, Classification of Parkinson's disease patients based on spectrogram using local binary pattern descriptors, Journal of Physics: Conference Series, 2153(1), 012014, 2020, doi: 10.1088/1742-6596/2153/1/012014
  6. E. Gelvez-Almeida, Y. Baldera-Moreno, Y. Huérfano, M. Vera, M. Mora and R. Barrientos, Parallel methods for linear systems solution in extreme learning machines: an overview, Journal of Physics: Conference Series, 1702(1), 012017, 2020, doi: 10.1088/1742-6596/1702/1/012017
  7. E. Salazar, M. Mora, A. Vásquez and E. Gelvez-Almeida, Conditioning of extreme learning machine for noisy datausing heuristic optimization, Journal of Physics: Conference Series, 1514(1), 012007, 2020, doi: 10.1088/1742-6596/1514/1/012007
  8. A. Vásquez, M. Mora, E. Salazar and E. Gelvez-Almeida, Extreme learning machine adapted to noise based on optimization algorithms, Journal of Physics: Conference Series, 1514(1), 012006, 2020, doi: 10.1088/1742-6596/1514/1/012006
  9. M. L. Vera-Angarita, J. Y. Ortega-Ortega, C. Ramirez-Martinez, E. Gelvez-Almeida and A. L. Hernández-Niño, La interacción social como proceso de encuentro o desencuentro en el aprendizaje académico de los adolescentes, Revista Perspectivas, 5(1), 122–128, 2020, doi: 10.22463/25909215.2675
  10. J. Salazar-Torres, M. Vera, Y. Contreras, E. Gelvez-Almeida, Y. Huérfano and O. Valbuena, The rubric as anassessment strategy in the mathematical argumentation process, Journal of Physics: Conference Series, 1514(1), 012026, 2020, doi: 10.1088/1742-6596/1514/1/012026
  11. M. Vera, E Gonzalez, Y. Huérfano, E. Gelvez and O. Valbuena, New anisotropic diffusion operator in images filtering, Journal of Physics: Conference Series, 1448(1), 012019, 2020, doi: 10.1088/1742-6596/1448/1/012019
  12. J. O. Rodríguez Velásquez, F. Barrios Arroyave, E. Gelvez-Almeida, J. Salazar-Torres, N. Guarín, C. Mosquera, L. Santos and J. Espejo, Fatalidades por tránsito en marylandy massachusetts evaluadas en el contexto de una caminata al azar probabilista, Revista de la Facultad de Ciencias Médicas, 76(3), 142–147, 2019, doi: 10.31053/1853.0605.v76.n3.23777
  13. Y. Huérfano, M. Vera, E. Gelvez-Almeida, J. Salazar, A. D. Mar, O. Valbuena and V. Molina, A computational strategy for the identification of pulmonary squamous cell carcinoma in computerized tomography images, Journal of Physics: Conference Series, 1160(1), 012004, 2019, doi: 10.1088/1742-6596/1160/1/012004
  14. E. Gelvez-Almeida and M. Vivas-García, La praxis del profesor de matemáticas: el caso de las competencias transversales en un programa de ingeniería de sistemas, Revista Perspectivas, 4(1), 54–59, 2019, doi: 10.22463/25909215.1760
  15. O. Valbuena, M. Vera, Y. Huérfano, E. Gelvez-Almeida, J. Salazar, V. Molina, F. Sáenz, M. I. Vera and W. Salazar, Computational strategy for the segmentation of the aortic annulus in cardiac computed tomography images, Journal of Physics: Conference Series, 1160(1), 012005, 2019, doi= 10.1088/1742-6596/1160/1/012005
  16. M. Flórez, M. Vera, J. Salazar-Torres, Y. Huérfano, E. Gelvez-Almeida, O. Valbuena, M. I. Vera and M. Aranguen, Interest rates calculation in certain ordinary annuities, Journal of Physics: Conference Series, 1414(1), 012009, 2019, doi: 10.1088/1742-6596/1414/1/012009
  17. D. Barrera, O. Valbuena, M. Vera, Y. Huérfano, E. Gelvez-Almeida, J. Salazar, V. Molina, F. Sáenz, M. I. Vera and W. Salazar, Isotropic versus anisotropic techniques in cardiac computed tomography images processing, Journal ofPhysics: Conference Series, 1160(1), 012006, 2019, doi: 10.1088/1742-6596/1160/1/012006
  18. Y. Huérfano, M. Vera, E. Gelvez-Almeida, M. I. Vera, O. Valbuena and J. Salazar-Torres, Large cells cancer volumetry in chest computed tomography pulmonary images, Journal of Physics: Conference Series, 1414(1), 012018, 2019, doi: 10.1088/1742-6596/1414/1/012018
  19. Y. Huérfano, M. Vera, M. I. Vera, O. Valbuena, E. Gelvez-Almeida, J. Salazar-Tores and V. Molina, Left atrial appendage automatic segmentation, in computed tomography images, Journal of Physics: Conference Series, 1386(1), 012133, 2019, doi: 10.1088/1742-6596/1386/1/012133
  20. J. Salazar-Torres, M. Vera, Y. Contreras, E. Gelvez-Almeida, O. Valbuena, D. Barrera and O. Rincon, Mathematical argumentation in the classroom, Journal of Physics: Conference Series, 1408(1), 012023, 2019, doi: 10.1088/1742-6596/1408/1/012023
  21. M. Vera, M. Flórez, J. Salazar-Torres, Y. Huérfano, E. Gelvez-Almeida, O. Valbuena, M. I. Vera and M. Aranguen, Newton-raphson method initialization for non-analytical equations solution linked to anticipated annuities, Journal of Physics: Conference Series, 1414(1), 012012, 2019, doi: 10.1088/1742-6596/1414/1/012012
  22. D. Barrera, J. Salazar-Torres, M. Vera and E. Gelvez-Almeida, Problem solving strategy in the teaching andlearning processes of quantitative reasoning, Journal of Physics: Conference Series, 1408(1), 012024, 2019, doi: 10.1088/1742-6596/1408/1/012024
  23. Y. Huérfano, M. Vera, M. I. Vera, O. Valbuena, E. Gelvez-Almeida and J. Salazar-Torres, Pulmonary adenocarcinoma characterization using computed tomography images, Journal of Physics: Conference Series, 1408(1), 012004, 2019, doi: 10.1088/1742-6596/1408/1/012004
  24. R. Rodríguez-Ibáñez, M. I. Vera, M. Vera, E. Gelvez-Almeida, Y. Huérfano, O. Valbuena and J. Salazar-Torres. Renal lithiasis detection in uro-computed tomography using a non-parametric technique, Journal of Physics: Conference Series, 1414(1):012019, 2019, doi: 10.1088/1742-6596/1414/1/012019
  25. M. Vera, Y. Huérfano, E. Gelvez-Almeida, O. Valbuena, J. Salazar, V. Molina, M. I. Vera, W. Salazar and F. Sáenz, Segmentation of brain tumors using a semi-automatic computational strategy, Journal of Physics: Conference Series, 1160(1), 012002, 2019, doi: 10.1088/1742-6596/1160/1/012002
  26. F. Sáenz, M. Vera, J. López, Y. Huérfano, O. Valbuena, M. I. Vera, E. Gelvez-Almeida and J. Salazar-Torres, Semi-automatic detection of hepatic tumor in computed tomography images, Journal of Physics: Conference Series, 1408(1), 012001, 2019, doi: 10.1088/1742-6596/1408/1/012001
  27. J. Salazar, M. Vera, Y. Huérfano, M. I. Vera, E. Gelvez-Almeida and O. Valbuena, Semi-automatic detection of the evolutionary forms of visceral leishmaniasis in microscopic blood smears, Journal of Physics: Conference Series, 1386(1), 012135, 2019, doi: 10.1088/1742-6596/1386/1/012135
  28. M. Vera, F. Sáenz, Y. Huérfano, E. Gelvez-Almeida, M. I. Vera, J. Salazar-Torres and O. Valbuena, Smart operator for the human liver automatic segmentation, present in medical images, Journal of Physics: Conference Series, 1386(1), 012132, 2019, doi: 10.1088/1742-6596/1386/1/012132
  29. S. Vargas, M. I. Vera, M. Vera, J. Salazar-Torres, Y. Huérfano, O. Valbuena and E. Gelvez-Almeida, Space-occupying lesions identification in mammary glands using a mixed computational strategy, Journal of Physics: Conference Series, 1414(1), 012016, 2019, doi: 10.1088/1742-6596/1414/1/012016
  30. Y. Huérfano, M. Vera, M. I. Vera, O. Valbuena, E. Gelvez-Almeida and J. Salazar-Torres, Use of computational realistic models for the cardiac ejection fraction calculation, Journal of Physics: Conference Series, 1408(1), 012003, 2019, doi: 10.1088/1742-6596/1408/1/012003
  31. M. Vera, O. Valbuena, Y. Huérfano, M. I. Vera, E. Gelvez-Almeida and J. Salazar-Torres, Usefulness of cuttingplanes in the hierarchical segmentation of cardiac anatomical structures, Journal of Physics: Conference Series, 1408(1), 012005, 2019, doi: 10.1088/1742-6596/1408/1/012005
  32. E. Gelvez-Almeida, Y. Huérfano, M. Vera, M. I. Vera, O. Valbuena and J. Salazar-Torres, Usefulness of digital images segmentation in pulmonary transplantation, Journal of Physics: Conference Series, 1386(1), 012134, 2019, doi: 10.1088/1742-6596/1386/1/012134
  33. O. Valbuena, M. I. Vera, M. Vera, E. Gelvez-Almeida, Y. Huérfano, M. Borrero, J. Salazar-Torres and W. Salazar, Volumetric quantification in ovarian pathology using abdomino-pelvic computed tomography, Journal of Physics: Conference Series, 1403(1), 012014, 2019, doi: 10.1088/1742-6596/1414/1/012021
  34. M. Vera, Y. Huérfano, D. Barrera, O. Valbuena, W. Salazar, M. I. Vera, C. Hernández, M. Vivas, M. Borrero, ́A. V. Molina, L. J. Martínez, J. Salazar, E. Gelvez-Almeida, Y. Contreras and F. Sáenz, Assessment of methods for volumetric quantification of intracerebral hematomas in computerized tomography images, Archivos Venezolanos de Farmacologia y Terapeutica, 37(4), 331–335, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/15675
  35. M. Vera, Y. Huérfano, O. Valbuena, D. Hoyos, Y. Arias, Y. Contreras, W. Salazar, M. I. Vera, M. Borrero, M. Vivas, C. Hernández, D. Barrera, ́A. V. Molina, L. J. Martínez, J. Salazar, E. Gelvez-Almeida and F. Sáenz. Automatic segmentation of a cerebral: Glioblastoma using a smart computational technique, Archivos Venezolanos de Farmacologia y Terapeutica, 37(4), 336–342, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/15676
  36. M. Vera, Y. Huérfano, ́A. V. Molina, O. Valbuena, M. Vivas, M. Cuberos, W. Salazar, M. I. Vera, M. Borrero, C. Hernández, D. Barrera, L. J. Martínez, J. Salazar, E. Gelvez-Almeida, Y. Contreras and F. Sáenz, Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging, Archivos Venezolanos de Farmacologia y Terapeutica, 37(4), 343–348, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/15677
  37. J. Salazar, M. Vera, Y. Huérfano, O. Valbuena, W. Salazar, M. I. Vera, E. Gelvez-Almeida, Y. Contreras, M. Borrero, M. Vivas, D. Barrera, C. Hernández, ́A. V. Molina, L. J. Martínez and F. Sáenz, Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: A clinical utility, Archivos Venezolanos de Farmacologia y Terapeutica, 37(4), 320–325, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/15673
  38. F. Saénz, M. Vera, Y. Huérfano, V. Molina, L. Martínez, M. I. Vera, W. Salazar, E. Gelvez-Almeida, J. Salazar, O. Valbuena, H. Robles, M. Bautista and J. Arango, Brain hematoma computational segmentation, Journal of Physics: Conference Series, 1126(1), 012071, 2018, doi: 10.1088/1742-6596/1126/1/012071
  39. Y. Contreras, M. Vera, Y. Huérfano, O. Valbuena, W. Salazar, M. I. Vera, M. Borrero, D. Barrera, C. Hernández, ́A. V. Molina, L. J. Martínez, F. Sáenz, M. Vivas, J. Salazar and E. Gelvez-Almeida, Digital processing of medical images: Application in synthetic cardiac datasets using the CRISP_DM methodology, Revista Latinoamericana de Hipertension, 13(4), 310–315, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_lh/article/view/15722
  40. M. Florez Romero, J. P. Salazar Torres, Y. K. Hernandez Peña, E. Gelvez-Almeida, J. J. Garavito Patiño, S. B. Florez Hernandez, A. L. Hernandez Niño and D. D. Patiño Sanchez, Henry A. Giroux y sus aportes a la modelización del currículo crítico: Cuestiones y reflexiones, Espacios, 39(5), 2018, url: https://www.revistaespacios.com/a18v39n05/18390504.html
  41. M. Vera, Y. Huérfano, L. J. Martínez, Y. Contreras, W. Salazar, M. I. Vera, O. Valbuena, M. Borrero, C. Hernández, D. Barrera, ́A. V. Molina, J. Salazar, E. Gelvez-Almeida, F. Sáenz, D. Hoyos and Y. Arias, High grade glioma segmentation in magnetic resonance imaging, Revista Latinoamericana de Hipertension, 13(4), 323–329, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_lh/article/view/15724
  42. M. Vera, Y. Huérfano, O. Valbuena, Y. Contreras, M. Cuberos, M. Vivas, W. Salazar, M. I. Vera, M. Borrero, C. Hernández, D. Barrera, ́ A. V. Molina, L. J. Martínez, J. Salazar, E. Gelvez-Almeida and F. Sáenz, Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging, Archivos Venezolanos de Farmacologia y Terapeutica, 37(4), 349–354, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/15678
  43. E. Gelvez-Almeida, M. Vera, Y. Huérfano, O. Valbuena, W. Salazar, M. I. Vera, M. Borrero, D. Barrera, C. Hernández, ́A. V. Molina, L. J. Martínez, F. Sáenz, M. Vivas, J. Vanegas, J. Contreras, J. Restrepo, J. Salazar and Y. Contreras, Smoothing filters in synthetic cerebral magnetic resonance images: A comparative study, Revista Latinoamericana de Hipertension, 13(4), 335–338, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_lh/article/view/15726
  44. M. Vera, Y. Huérfano, C. Hernández, O. Valbuena, W. Salazar, M. I. Vera, D. Barrera, M. Borrero, ́A. V. Molina, L. J. Martínez, J. Salazar, E. Gelvez-Almeida, Y. Contreras and F. Saenz, Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods, Revista Latinoamericana de Hipertension, 13(4), 339–343, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_lh/article/view/15727
  45. M. Vera, Y. Huérfano, M. Borrero, O. Valbuena, W. Salazar, M. I. Vera, D. Barrera, C. Hernández, ́A. V. Molina, L. J. Martínez, J. Salazar, E. Gelvez-Almeida, Y. Contreras and F. Sáenz, Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique, Archivos Venezolanos de Farmacologia y Terapeutica, 37(4), 326–330, 2018, url: http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/15674

Conference papers

  1. E. Gelvez-Almeida, R. J. Barrientos, K. Vilches-Ponce, M. Mora, Parallel model of online sequential extreme learning machines for classification problems with large-scale databases, in 11th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET), La Plata, Argentina, 2023, url: http://sedici.unlp.edu.ar/handle/10915/155423
  2. E. Gelvez-Almeida, R. J. Barrientos, K. Vilches-Ponce, M. Mora, Parallel Training of a Set of Online Sequential Extreme Learning Machines, in 2022 41st International Conference of the Chilean Computer Science Society (SCCC), Santiago, Chile, 2022, doi: 10.1109/SCCC57464.2022.10000361
  3. M. Vera, L. J. Martínez, Y. Huérfano, V. Molina, S. Vargas, M. Vera, W. Salazar, J. Rodriguez, R. Rodriguez, G. Chacon, A. Isaza, F. Saenz, E. Gelvez-Almeida and J. Salazar, Automatic segmentation of subdural hematomas using a computational technique based on smart operators, In 2018 Global Medical Engineering Physics Ex-changes/Pan American Health Care Exchanges (GMEPE/PAHCE), pages 1–6. IEEE, 2018,doi: 10.1109/GMEPE-PAHCE.2018.8400730

Book charters

  1. E. Gelvez-Almeida and J. Salazar Torres, Estrategia de formación en razonamiento cuantitativo: un estudio de caso en el programa de derecho, In J. D. Hernández Albarracín and M. L. Peñaranda Gómez, editors, Pedagogías contemporáneas: miradas divergentes al mundo escolar, chapter 7, pages 193–215. Barranquilla: Ediciones Universidad Simón Bolívar, 2018, url: https://hdl.handle.net/20.500.12442/3288
  2. N. Torrealba, A. Mora, M. Vera and E. Gelvez-Almeida, Estudio de las funciones de variable real a través de las dimensiones de la competencia matemática, In J. P. Salazar, Y. L. Contreras and J. F. Espinoza, editors, Investigación y praxis en la enseñanza de las matemáticas, chapter 9, pages 229–252. Barranquilla: Ediciones Universidad Simón Bolívar, 2018, url: https://hdl.handle.net/20.500.12442/3204
  3. E. Gelvez-Almeida and M. Vivas, Aspectos cognitivos, metodológicos y epistemológicos que subyacen en la formación por competencias del estudiante de ingeniería de sistemas, In J. Gómez, A. J. Aguilar, S. S. Jaimes, C. Ramírez, J. P. Salazar, J. C. Contreras and J. F. Espinosa, editors, Prácticas pedagógicas, chapter 8, pages 979–999. Maracaibo: Publicaciones Científicas Universidad del Zulia, 2017, url: http://hdl.handle.net/20.500.12442/2099
  4. M. Pabuence, S. S. Jaimes and E. Gelvez-Almeida, Implicaciones de la epistemología, pedagogía y didáctica en el desarrollo de competencias matemáticas, In J. Gómez, A. J. Aguilar, S. S. Jaimes, C. Ramírez, J. P. Salazar, J. C. Contreras and J. F. Espinosa, editors, Prácticas pedagígicas, chapter 5, pages 913–933. Maracaibo: Publicaciones Científicas Universidad del Zulia, 2017, url: http://hdl.handle.net/20.500.12442/2099
  5. M. Vivas, M. A. Cuberos and E. Gelvez-Almeida, La evaluación por competencias centrada en el desempeño de los estudiantes y su correlación con la evaluación auténtica de los aprendizajes, In J. Gómez, A. J. Aguilar, S. S. Jaimes, C. Ramírez, J. P. Salazar, J. C. Contreras and J. F. Espinosa, editors, Prácticas pedagógicas, chapter 5, pages 120–150. Maracaibo: Publicaciones Científicas Universidad del Zulia, 2017, url: http://hdl.handle.net/20.500.12442/2099
  6. M. Vivas, M. A. Cuberos, M. Castellanos and E. Gelvez-Almeida, Una aproximación a la evaluación del desempeño basado en competencias en un entorno virtual, In M. E. Graterol, M. I. Mendoza, R. Graterol, J. C. Contreras and J. F. Espinosa, editors, Las tecnologías de información y comunicación y la gestión empresarial, chapter 17, pages 351–383. Maracaibo: Publicaciones Científicas Universidad del Zulia, 2017, url: http://hdl.handle.net/20.500.12442/2105

Books

  1. M. A. Cuberos, M. Vivas, E. Gelvez-Almeida and A. peñaloza, Didáctica y gerencia en el uso educativo de Tecnologías de Información y Comunicacíon (TIC) en educación básica secundaria, Barranquilla: Ediciones Universidad Simón Bolívar, 2017, url: http://hdl.handle.net/20.500.12442/1157