SNII Área I CIENCIA DE LOS ORDENADORES 266 CASTILLO BARRERA, FRANCISCO EDGAR
CASTILLO BARRERA, FRANCISCO EDGAR

CASTILLO BARRERA, FRANCISCO EDGAR

LÓGICA · Nivel 1

Computer Science Semantic Web Ontologies Artificial Intelligence

Profesor Investigador en Universidad Autónoma de San Luis Potosí

Francisco E. Castillo-Barrera received the master’s degree in computer science from the Institute of Research in Applied Mathematics and Systems...

Francisco E. Castillo-Barrera received the master’s degree in computer science from the Institute of Research in Applied Mathematics and Systems (IIMAS), the National Autonomous University of Mexico and received the PhD degree at University of Guadalajara,Mexico in 2012. He works as a fulltime professor and researcher at the University of San Luis Potosi, Mexico. His research interests are: Artificial intelligence, software engineering, semantic web, ontologies, artificial life, virtual animated

agents based on logic, knowledge representation, software components, logic programming. He is a member of the IEEE, ACM, WESO (Web Semantics Oviedo), IAOA, SNI I, etc.

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Perfil académico

Contenido de ORCID y Scopus 50/50
ORCID: identificador válido 7/7
ORCID: biografía 95 palabras 8/8
ORCID: palabras clave 4 palabras clave 4/4
Scopus: identificador válido 5/5
Publicaciones visibles Fuente: ORCID 26/26
Redes académicas 12/23
Google Académico Aún no registrado 0/8
ResearchGate / Academia.edu 2 de 2 redes 8/8
Redes especializadas (Web of Science, Loop o SciProfiles) 2/2
Sitio web personal o institucional Aún no registrado 0/3
Foto de perfil 2/2
Clasificación disciplinar 27/27
Especialidad válida 22/22
Institución y entidad de acreditación válidas 5/5

Índice de visibilidad digital v1.0 · Mide qué tan completo está el perfil, no la calidad académica. Escala: 0–39 incompleto · 40–79 intermedio · 80–100 completo. ¿Cómo se calcula? · ¿Te falta un dato? Avísanos

Nombre FRANCISCO EDGAR CASTILLO BARRERA
Área FÍSICO-MATEMÁTICAS Y CIENCIAS DE LA TIERRA
Campo LÓGICA
Disciplina CIENCIA DE LOS ORDENADORES
Especialidad CONOCIMIENTO
CVU 201445
Institución
Tipo de institución Pública
Dependencia FACULTAD DE INGENIERIA
Entidad SAN LUIS POTOSI
Nivel 1
Vigencia Inicio: 01/01/2022
Fin: 31/12/2026

Evolución en el SNII

  • Candidato: 2015–2017
  • Nivel I: 2018–2020
  • Nivel I: 2022–2026

Últimas publicaciones Scopus

2026
OntoNanoMat: A Semantic Dataset and Ontology for Green-Synthesized Nanomaterials in Environmental Remediation Data · Vol. 11 Data Paper
An Ontology-Based Framework for Semantic Integration and Interoperable Assessment of Green-Synthesized Nanomaterials for Environmental Remediation Applied Sciences Switzerland · Vol. 16 Article
2025
Generative AI in software engineering education Generative AI in Software Engineering Book Chapter
SEAPIC: Expert System in Beekeeping Communications in Computer and Information Science · Vol. 2554 CCIS Conference Paper
2024
Calcification Recognition: A Preliminary Result Based on a Computational Conceptual Model Lecture Notes in Networks and Systems · Vol. 1212 LNNS Conference Paper