Computational Intelligence applications, case studies and digital solutions

Authors

  • Carlos Ramón López Paz AICA Pharmaceutical Laboratories Enterprise

Keywords:

Inteligencia computacional

Abstract

The Cuban Magazine of Digital Transformation, managed by the Union of Informaticians of Cuba (UIC) and the Academic Committee of the V International Conference on Computer Engineering and Information Systems (CIIISI 2022), which took place from November 28 to December 2 of 2022, within the framework of the XX Scientific Convention of Engineering and Architecture of the Technological University of Havana José Antonio Echeverría (Cujae), are integrated into this special issue dedicated to the applications of computational intelligence, case studies in various sectors and digital solutions in specific business contexts. A total of thirteen contributions were selected to be invited to be part of the magazine. The first eight contributions present in this edition were included in the panels Computational intelligence and IT infrastructure solutions» and «Software engineering, IT solutions and case studies in multiple sectors».

Author Biography

Carlos Ramón López Paz, AICA Pharmaceutical Laboratories Enterprise

Carlos Ramón López Paz es graduado de Ingeniería Informática (2002) y es Master en Informática Aplicada (2006) en la Universidad Tecnológica de la Habana José Antonio Echeverría (Cujae). Obtuvo el grado de Doctor por la Universidad de Alicante, España (2011) con la tesis “Metodología para la sistematización de los servicios de consultoría TI”. En la actualidad se desempeña como jefe del Departamento de Investigación y Desarrollo en la Dirección de Informática de la empresa Laboratorios Farmacéuticos AICA. Además, es profesor Titular del Departamento de Ingeniería de Software de la Facultad de Ingeniería Informática de la Cujae. Se especializa en la aplicación de paradigmas y métodos de investigación que permitan transferir como estudios de casos las lecciones aprendidas en intervenciones consultoras en el contexto de iniciativas de transformación digital.

References

Levkovskyi, B., Hinrichs, M., Betzwieser, B., & Utesch, M. C. (2021). Companies in transition: Understanding how the digital transformation affects business processes and their key performance indicators. Paper presented at the 27th Annual Americas Conference on Information Systems, AMCIS 2021.

Revina, A., & Aksu, Ü. (2023). An approach for analyzing business process execution complexity based on textual data and event log. Information Systems, 114. doi:10.1016/j.is.2023.102184

Rico, S., Bjarnason, E., Engström, E., Höst, M., & Runeson, P. (2021). A case study of industry–academia communication in a joint software engineering research project. Journal of Software: Evolution and Process. doi:10.1002/smr.2372

Song, Q., & Runeson, P. (2023). Industry-academia collaboration for realism in software engineering research: Insights and recommendations. Information and Software Technology, 156. doi:10.1016/j.infsof.2022.107135

Wohlin, C., & Rainer, A. (2022). Is it a case study?—A critical analysis and guidance. Journal of Systems and Software, 192. doi:10.1016/j.jss.2022.111395

Published

2023-03-07

How to Cite

López Paz, C. R. (2023). Computational Intelligence applications, case studies and digital solutions. Revista Cubana De Transformación Digital, 4(1), e214. Retrieved from https://rctd.uic.cu/rctd/article/view/214