Juan Alejandro Peña Palacio

Doctor en Ingeniería con énfasis en modelamiento computacional e inteligencia computacional. Científico de datos y profesor universitario. Su trayectoria se enfoca en modelamiento de riesgos y aprendizaje automático.

 

 

Foto de: Juan Alejandro Peña Palacio

    Resumen/Summary

    Científico de datos, experto en modelamiento de riesgos y aprendizaje automático, y posee un Doctorado en Ingeniería con énfasis en modelamiento computacional utilizando conceptos de inteligencia computacional y aprendizaje profundo. El profesor Alejandro ha trabajado en diferentes proyectos de investigación relacionados con el modelamiento del riesgo derivado de las operaciones de las organizaciones en sectores como la Banca (FINTECH), los Seguros (INSURTECH) y la Agricultura de Precisión (Ag-Tech). Como investigador visitante en el IAI (Instituto de Inteligencia Artificial) de la Universidad DeMontfort de Leicester (Inglaterra), el profesor Alejandro aplicó el modelamiento de riesgos para el mejoramiento de la sostenibilidad ambiental y financiera de pequeñas y medianas empresas del sector del agro. A lo largo de su desempeño profesional, el profesor Alejandro ha trabajado como miembro del Consejo Nacional de Acreditación (CNA), y ha participado como Editor en Chief y revisor de diferentes journals en el campo del soft-computing, el modelamiento computacional, y el riesgo operacional. ​

    Intereses académicos e investigativos/Research and Teaching Interest

    Historia económica

    Economía política internacional

    Filosofía de la mente

    Neurociencia evolutiva

    Neurociencia aplicada a la identidad digital

    Tecnología y construcción del yo reflexivo humano

    Estudios realizados/Education

    ​Pasantía Post-Doctoral en el Institute of Artificial Intelligence (IAI) de la Universidad de DeMontfort en Leicester, Inglaterra.

    Doctor en Ingeniería de la Universidad Pontificia Bolivariana.

    Master en Ingeniería de Sistemas de la Universidad Nacional de Colombia.Ingeniero Mecánico de la Universidad Nacional de Colombia.

    Publicaciones/Publications

    González-Palacio, Liliana; González-Palacio, Mauricio; García-Giraldo, John; Varela, Luz Stella; Peña, Alejandro; Carvalho, Joao Vidal; (2025),Virtual Platform for the Accompaniment and Counseling of Careers of People with Huntington’s Disease,International Conference in Information Systems and Medicine,,,415-425,2025,Springer Nature Switzerland Cham, https://doi.org/10.1007/978-3-031-99699-3_31

    Marín-Rodríguez, Nini Johana; Bouri, Elie; González-Ruiz, Juan David; Botero, Sergio; Peña, Alejandro; (2025) ""Dynamic interrelationships among crude oil, green bond, and carbon markets: Evidence from fuzzy logic autoencoders"", Applied Soft Computing,175,,113112,2025,Elsevier, https://doi.org/10.1016/j.asoc.2025.113112

    Peña, Alejandro; Sepúlveda-Cano, Lina M; Gonzalez-Ruiz, Juan David; Marín-Rodríguez, Nini Johana; Botero-Botero, Sergio; (2024) Deep Fuzzy Credibility Surfaces for Integrating External Databases in the Estimation of Operational Value at Risk, Sci,6,4,74,2024, MDPI, https://doi.org/10.3390/sci6040074

    Marín-Rodríguez, Nini Johana; Gonzalez-Ruiz, Juan David; Peña, Alejandro; (2024) Analyzing fiscal sustainability in Latin American countries: A time–frequency perspective, Economies,12,5,111,2024, MDPI https://doi.org/10.3390/economies12050111

    Toro-Ossaba, Alejandro; Tejada, Juan C; Rúa, Santiago; Núñez, Juan David; Peña, Alejandro; (2024) Myoelectric model reference adaptive control with adaptive kalman filter for a soft elbow exoskeleton, Control Engineering Practice,142,,105774,2024, Elsevier, https://doi.org/10.1016/j.conengprac.2023.105774

    Pedroza, JC; Pena, A; Sepúlveda-Cano, L; Carvalho, JV; (2024) Analytical Hierarchy Process for Risk Management in the Stabilized Flight Approach-Expert Judgment, Dutch Journal of Finance and Management,7,1,26497,2024, https://doi.org/10.55267/djfm/14419

    García, Daniel; Perez-Muñoz, Natalia; Peña, Alejandro; Carvalho, João Vidal; Sepulveda, Lina; (2023) A Fuzzy ELECTRE Method to Model the Risk in Credit Products for Financing Tourism Experiences, ""International Conference on Tourism, Technology and Systems"", 357-371, 2023, Springer Nature Singapore Singapore, https://doi.org/10.1007/978-981-99-9758-9_28

    Gonzalez-Ruiz, J. D., Marín-Rodríguez, N. J., & Peña, A. (2023). Board gender diversity and cost of debt financing: Evidence from Latin American and the Caribbean firms. Journal of Corporate Accounting and Finance, 35(2), 224-244. https://doi.org/10.1002/jcaf.22683

    Peña, Alejandro; Carvalho, Joao Vidal; Gonzalez-Ruiz, JD; Sepulveda, Lina; (2023) PANAS-TDL2: A Psychrometric Deep Learning Model for Characterising Post-COVID-19 Twitter Perceptions of Tourist Destinations, ""Advances in Tourism, Technology and Systems: Selected Papers from ICOTTS 2022, Volume 1"", 575-587, 2023, Springer Nature, Singapore, https://doi.org/10.1007/978-981-99-0337-5_47

    Larrea-Gomez, M., Peña, A., Martinez-Vargas, J.D., Ochoa, I., Ramirez-Guerrero, T. (2024). Modeling Detecting Plant Diseases in Precision Agriculture: A NDVI Analysis for Early and Accurate Diagnosis. In: Tabares, M., Vallejo, P., Suarez, B., Suarez, M., Ruiz, O., Aguilar, J. (eds) Advances in Computing. CCC 2023. Communications in Computer and Information Science, vol 1924. Springer, Cham. https://doi.org/10.1007/978-3-031-47372-2_24

    Ramirez-Guerrero, Tomas; Hernandez-Perez, Maria Isabel; Tabares, Marta S; Marulanda-Tobon, Alejandro; Villanueva, Eduart; Pena, Alejandro; (2023) Agroclimatic and phytosanitary events and emerging technologies for their identification in avocado crops: A systematic literature review, Agronomy,13,8,1976, MDPI, https://doi.org/10.3390/agronomy13081976​​

    Peña, P. A. Tejada, J. González-Ruiz, J.D. Sepulveda, L. Chiclana, F. Góngora, M. (2023) An Evolutionary Intelligent Control System for a Flexible Joints Robot, Applied Soft Computing (135) (https://doi.org/10.1016/j.asoc.2023.110043).

    Pérez, Valentina; González, Isabel; Peña, Alejandro; Sepúlveda-Cano, Lina María; Guerrero, Jorge; de Carvalho, Joao Vidal; A Neural Model with a Deep Learning Structure for Characterizing Relaxation Levels Through Olfactory Stimuli to Enhance the Guest Experience in Hotels, (2022) ""Advances in Tourism, Technology and Systems: Selected Papers from ICOTTS 2022, Volume""

    González-Ruiz, J.D. Botero-Botero, S. Peña, A. (2022) Analysis of the Capital Structure in Sustainable Infrastructure Systems: A Methodological Approach, Sustainability 14(19), EISSN: 2071-1050, (https://doi.org/10.3390/su141912662).

    Peña, A. Tejada, J. Gonzalez-Ruiz, J. Góngora, M. (2022) Deep Learning to Improve the Sustainability of Agricultural Crops Affected by Phytosanitary Events: A Financial Risk Approach, Sustainability 14 (11), EISSN: 2071-1050, (https://doi.org/10.3390/su14116668).

    Toro-Ossaba, A. Jaramillo-Tigreros, J. Tejada, J.C. Peña, A. López-González, A. Castanho, R. (2022) LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals, Applied Sciences 12(19),  EISSN 2076-3417, (https://doi.org/10.3390/app12199700).

    Gabriela Ramirez, A. Monsalve, J. González-Ruiz,J.D. Almonacid, P. Peña, A. (2022) Relationship between the Cost of Capital and Environmental, Social, and Governance Scores: Evidence from Latin America, Sustainability 14(9), EISSN: 2071-1050, (https://doi.org/10.3390/su14095012). 

    Bonet, I, Peña, A., Lochmuller, Ch., Patiño, H., Chiclana, F., Góngora, M. (2021) Applying fuzzy scenarios for the measurement of operational risk, Applied Soft Computing (112) ISSN: 1568-49 (https://doi.org/10.1016/j.asoc.2021.107785).

    Peña, A., Patiño, A., Chiclana, Carafinni, F., J. Góngora, M., F. González, Duque, E. (2021) Estimation of operational risk through the integration of multidimensional credibility concepts using a Fuzzy Convolutional Deep Learning Structure, Applied Soft Computing Journal (107), ISSN: 1568-4946 (https://doi.org/10.1016/j.asoc.2021.107381).

    Henao, A. Panesso, C. Peña, A. Patiño, A. Vidal da Carvalho, J. (2021) Neural deep learning model to characterize the brand perception in insurance corporate advertising - Brand attributes to create travel insurance products based on sentiments, Smart Innovation, Systems and Innovation 209, Springer, Verlag. ISSN: 2190-3026 (https://doi.org/10.1007/978-981-33-4260-6_37).

    Peña, A. Mesias, J. Patiño, A. Vidal da Carvalho, J. Gómez, G. Ibarra, K. Bedoya, S. (2021) PANAS-TDL: A Psychrometric Deep Learning Model for Characterizing Sentiments of Tourists against the COVID-19 pandemic on Twitter, Smart Innovation, Systems and Innovation 209, Springer, Verlag. ISSN: 2190-3026 (https://doi.org/10.1007/978-981-33-4260-6_15).

    Bonet, I. Peña, A. Lochmueller, Ch. Patino, A. Góngora, M. (2021) Deep Clustering for Metagenomics, Computational Intelligence Methods for Bioinformatics and Biostatistics, in: Lecture Notes in Bioinformatics, Lecture Notes in Computer Science, vol. 12313, pp. 335-347 Springer Verlag. ISSN: 0302-9743 (https://doi.org/10.1007/978-3-030-63061-4_29).

    Carvalho, J. V., Abreu, A., Peña, A., Ojeda, J. C. G., Liberato, D., & Liberato, P. (2020). Turismo, tecnologias e sistemas. [Tourism, Technologies and Systems] Revista Ibérica De Sistemas e Tecnologias De Informação, XI-XII (link).

    González, J. Peña P., A. Duque, E. Chiclana, F. Góngora, M. (2019) Stochastic Logistic Fuzzy Maps for the Development of Integrated Multivariables Scenarios in the Financing of Infrastructure Projects, Applied Soft Computing, Vol. 85, Elsevier.    (https://doi.org/10.1016/j.asoc.2019.105818).

    Peña P., A. Bonet, I. Lochmueller, Ch. Tabares, M. Piedrahíta C. Sánchez, C. Giraldo, L. Góngora, M. Chiclana, F. (2018) A Fuzzy ELECTRE structured methodology to assess big data maturity in healthcare SME's, Soft Computing Journal, Springer Verlag (https://link.springer.com/article/10.1007%2Fs00500-018-3625-8).  

    Peña P., A. Bonet, I. Lochmueller, C. Chiclana, F. Góngora, M. (2018) Fuzzy credibility model to estimate the operational value at risk using endogenous and exogenous databases of risk events. Knowledge-Based Systems 159, Elsevier,  (https://doi.org/10.1016/j.knosys.2018.06.007).

    Peña P., A. Bonet, I. Lochmueller, C. Chiclana, F. Gongora, M. (2018) Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management, Applied Soft Computing Journal 65, 614-631. Elsevier, (https://doi.org/10.1016/j.asoc.2018.01.024).

    Peña P., A. Bonet, I. Lochmueller, C. Chiclana, F. Góngora, (2018) M. An integrated inverse adaptive neural fuzzy system with MonteCarlo Structure sampling method for operational risk management, Experts Systems with Applications 98, 2018, 11-26. Elsevier,  (https://doi.org/10.1016/j.eswa.2018.01.001).

    Peña P., A. Bonet, I. Lochmueller, Ch. Tabares, M. Piedrahíta C. Sánchez, C. Giraldo, L. Góngora, M. Chiclana, F. (2018) A Fuzzy ELECTRE structured methodology to assess big data maturity in healthcare SME's, Soft Computing Journal, Springer Verlag (https://link.springer.com/article/10.1007%2Fs00500-018-3625-8).  

    Peña P., A. Bonet, I. Lochmueller, C. Chiclana, F. Góngora, M. (2018) Fuzzy credibility model to estimate the operational value at risk using endogenous and exogenous databases of risk events. Knowledge-Based Systems 159, Elsevier,  (https://doi.org/10.1016/j.knosys.2018.06.007).

    Peña P., A. Bonet, I. Lochmueller, C. Chiclana, F. Gongora, M. (2018) Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management, Applied Soft Computing Journal 65, 614-631. Elsevier, (https://doi.org/10.1016/j.asoc.2018.01.024).

    Peña P., A. Bonet, I. Lochmueller, C. Chiclana, F. Góngora, (2018) M. An integrated inverse adaptive neural fuzzy system with MonteCarlo Structure sampling method for operational risk management, Experts Systems with Applications 98, 2018, 11-26. Elsevier,  (https://doi.org/10.1016/j.eswa.2018.01.001 ).Sánchez, C. Giraldo, L. Piedrahita, C. Bonet, I. Lochmueller, Ch. Tabares, M. Peña, P.A. (2018) Evaluation of models of decision trees and K-means models in the characterization or diagnosis of some diseases, Espacios Journal 39(28), ISSN: 0798-1015 – (http://www.revistaespacios.com/a18v39n28/a18v39n28p21.pdf).​

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    Correo

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