ROSAS ROMERO, ROBERTO

ROSAS ROMERO, ROBERTO

INGENIERÍA · Nivel 1

Computer Vision Machine Learning Pattern Recognition Signal Processing

Desde 2000 es Professor en Universidad de las Américas Puebla

Ph. D. Degree in Electrical Engineering from University of Washington (Seattle, Washington, U. S. A.) in 1999. Visiting Professor at the Departmet of Diagnostic Radiology in Yale University (New Haven, Connecticut, U. S. A.) in 2012. Two-time Fulbright Scholar in...

Ph. D. Degree in Electrical Engineering from University of Washington (Seattle, Washington, U. S. A.) in 1999. Visiting Professor at the Departmet of Diagnostic Radiology in Yale University (New Haven, Connecticut, U. S. A.) in 2012. Two-time Fulbright Scholar in 1996-1999 and 2012 as a student and as a profesor, respectively.

Full-time Professor at the Department of Electrical and Computer Engineering, Universidad de las Américas-Puebla (Puebla, México) since 2000. He also holds the position of Chair of Graduate Studies in the same Department.

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Perfil académico

Nombre ROBERTO ROSAS ROMERO
Área INGENIERÍAS Y DESARROLLO TECNOLÓGICO
Campo INGENIERÍA
Disciplina INGENIERÍA ELECTRÓNICA
Especialidad PATRONES
CVU 68150
Institución
Dependencia SIN INFORMACIÓN
Entidad PUEBLA
Nivel 1
Vigencia Inicio: 01/01/2022
Fin: 31/12/2026

Últimas publicaciones Scopus

2026
Prediction of Adverse Side Effects of Antidepressants Using an Expert System Communications in Computer and Information Science · Vol. 2740 CCIS Conference Paper
Long-term trend forecasting via adaptive multiple-time-step decomposition and ensemble Midwest Symposium on Circuits and Systems Conference Paper
2025
Image Segmentation Network Based on Convolutional Layers, a Clustering Layer and Cluster Classification Communications in Computer and Information Science · Vol. 2242 CCIS Conference Paper
2024
Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging Tomography · Vol. 10 Article
Feature extraction and classification of static spiral tests to assist the detection of Parkinson’s disease Multimedia Tools and Applications · Vol. 83 Article