Dr. Maikel Y. Leyva Vázquez is a Professor and Researcher In Artificial Intelligence, Data Science, and Neutrosophy, and the Editor-In-Chief of Neutrosophic Computing and Machine Learning (EBSCO) and Editor of Neutrosophic Sets and Systems (Scopus). He holds a Ph.D. in Technical Sciences from the University of Informatics Sciences, Cuba, and has been recognized with the Young Researcher Award in Computer Science by the Cuban Ministry of Science and Technology (2015) and the Award of the Cuban Academy of Sciences for predictive models in virology.
He has directed high-impact research projects on artificial intelligence, digital transformation, and neutrosophic multi-criteria decision models applied to education, health, and sustainability. His academic leadership includes serving as Academic Coordinator of Graduate Programs, organizing international conferences in Peru, El Salvador, Cuba, the Dominican Republic, and Uruguay, and fostering scientific collaboration through the Latin American Association of Neutrosophic Sciences, where he is Network Coordinator.
His recent research explores the integration of Latin American Indigenous worldviews (Buen Vivir, Yanantin, Ch’ixi, Ayni) with neutrosophic logic and complexity theory, building transdisciplinary bridges between science, culture, and ethics in artificial intelligence.
Undergraduate Courses Taught: Databases, Business Intelligence and Data Warehouses, Software Management, Linux, Service-Oriented Architectures, Introduction to Project Management, Database Management Systems, Requirements Engineering, Configuration Management.
Postgraduate Courses Taught: Flexible Methods for Data Analysis, Information Aggregation, Requirements Management, Soft Computing for Decision Support, Software Project Planning, Introduction to Service-Oriented Architectures, Software Models and Quality, Agile Methods and Fundamentals of Agile Development.
Awards and Recognitions:
Academic and Scientific Activities:
Graduated with Honors — “Golden Title” Distinction.
Expertise in Neutrosophy and Plithogenic Logic applied to social sciences, artificial intelligence, and sustainability
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