Miguel Gayo Abeleira

Miguel Gayo Abeleira has a diverse work experience spanning a range of roles and industries.

Starting in 2016, Miguel worked as a becario operaciones (intern) at Gas Natural Fenosa for 6 months. Miguel'sresponsibilities included creating databases of technical and economic information, developing pre-operation and maintenance manuals, and working in operations.

In 2018, Miguel joined Mytra Control as an investigador (researcher) in the field of Industria 4.0. Miguel worked in the Mytra chair, focusing on research related to Industry 4.0.

From 2019 to 2022, Miguel worked as an investigador microrredes (microgrid researcher) in Grupo Geiser at Universidad de Alcalá. Here, they conducted research on microrredes (microgrids).

Currently, Miguel is employed as an R&D Engineer at Smarkia, starting in 2023. Further details about their role and responsibilities are not provided.

Miguel Gayo Abeleira's education history is as follows:

- From 2019 to 2022, Miguel pursued a Doctorate in Electronics with a specialization in Advanced Electronic Systems and Intelligent Systems at Universidad de Alcalá. The field of study for this degree is not specified.

- From 2017 to 2019, Miguel completed a Master's degree in Industrial Engineering at Universidad de Alcalá. The field of study for this degree is not specified.

- From 2011 to 2017, Miguel obtained a Bachelor's degree in Electronic and Industrial Automation Engineering from Universidad de Alcalá. The field of study for this degree is Electronic and Industrial Automation Engineering.

In addition to their formal education, Miguel has also acquired several certifications:

- In October 2018, Miguel obtained certifications in Blockchain Platforms, Decentralized Applications (Dapps), Programa Especializado - Blockchain, and Smart Contracts from Coursera.

- In September 2018, Miguel received a certification in Blockchain Basics from the University at Buffalo & Universidad Estatal de Nueva York through Coursera.

- In July 2018, Miguel completed a course on Machine Learning from Stanford University through Coursera.

No further assumptions can be made about Miguel Gayo Abeleira's education history based on the provided information.