COLORES VARGAS, JUAN MIGUEL

COLORES VARGAS, JUAN MIGUEL

INGENIERÍA · Nivel C

image processing

Desde 2013 es en Universidad Autónoma de Baja California

Colores Vargas Juan Miguel, PhD received the Bachelor‘s degree in Electronics engineering from the Autonomous University of Baja California, in...

Colores Vargas Juan Miguel, PhD received the Bachelor‘s degree in Electronics engineering from the Autonomous University of Baja California, in 2006 and Master‘s degree on Digital Systems by the Center for Research and Development of Digital Technology (CITEDI-IPN) in 2008. In 2014 he obtained a PhD in Communications and Electronics at the Higher School of Mechanical and Electrical Engineering (ESIME-IPN). Currently, he is Full Professor at the School of Technology and Engineering Sciences at the Autonomous University of Baja California in Mexico (FCITEC-UABC). Topics currently being developed are: image processing and multispectral and multichannel video in real time, as well as medical image processing for diagnostic purposes.

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Perfil académico

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Contenido de ORCID y Scopus 43/50
ORCID: identificador válido 7/7
ORCID: biografía 107 palabras 8/8
ORCID: palabras clave 1 palabras clave 2/4
Scopus: identificador válido Aún no registrado 0/5
Publicaciones visibles Fuente: ORCID 26/26
Redes académicas 0/23
Google Académico Aún no registrado 0/8
ResearchGate / Academia.edu Aún no registrado 0/8
Redes especializadas (Web of Science, Loop o SciProfiles) Aún no registrado 0/2
Sitio web personal o institucional Aún no registrado 0/3
Foto de perfil Aún no registrado 0/2
Clasificación disciplinar 27/27
Especialidad válida 22/22
Institución y entidad de acreditación válidas 5/5

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Nombre JUAN MIGUEL COLORES VARGAS
Área INTERDISCIPLINARIA
Campo INGENIERÍA
Disciplina INGENIERÍA ELECTRÓNICA
Especialidad BIOELECTRONICA
CVU 235164
Institución
Tipo de institución Pública
Dependencia SIN INFORMACIÓN
Entidad BAJA CALIFORNIA
Nivel C
Vigencia Inicio: 01/01/2025
Fin: 31/12/2028

Evolución en el SNII

  • Candidato: 2025–2026

Publicaciones ORCID

2024
EEG-Based Motor and Imaginary Movement Classification: ML Approach
2022
Evaluation of Machine Learning Algorithms for Classification of EEG Signals Technologies
2019
Control Robusto H∞ en forma Global para Robot Manipulador Revista de Sistemas Experimentales
Iris Recognition Systems in a Non-Cooperative Environment The Biometric Computing: Recognition and Registration
2018
Optimized robust multi-sensor scheme for simultaneous video and image iris recognition Pattern Recognition Letters
Optimized robust multi-sensor scheme for simultaneous video and image iris recognition
2017
Analysis of the improvement on textural information in human iris recognition VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th-28th, 2016
Microstructure and mechanical properties correlation for the steel: A comparative methodology of educational research for physics and mechanical engineering trainings
Microstructure and mechanical properties correlation for the steel: A comparative methodology of educational research for physics and mechanical engineering trainings International Journal of Physical Sciences
2016
Analysis of the Improvement on Textural Information in Human Iris Recognition