HERNANDEZ ROJAS, LUIS GUILLERMO

HERNANDEZ ROJAS, LUIS GUILLERMO

INGENIERÍA · Nivel 1

Desde 2022 es Assistant Professor en Tecnológico de Monterrey - Campus Guadalajara

Dr. Hernández-Rojas has a strong research interest in computational intelligence models applied to neuroscience, neuroimaging, and pain science. He is an experienced researcher with expertise in machine learning, focused on developing predictive models to improve pain assessment and inform therapeutic...

Dr. Hernández-Rojas has a strong research interest in computational intelligence models applied to neuroscience, neuroimaging, and pain science. He is an experienced researcher with expertise in machine learning, focused on developing predictive models to improve pain assessment and inform therapeutic strategies. He also has extensive experience applying machine learning techniques to create biomedical solutions for individuals with reduced mobility and communication impairments. His work spans multiple areas of biomedical engineering, including signal processing, machine learning, deep learning, pattern recognition, computer vision, and their applications in pain research, motor rehabilitation therapies, and medical imaging tools.

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Perfil académico

Nombre LUIS GUILLERMO HERNANDEZ ROJAS
Área INGENIERÍAS Y DESARROLLO TECNOLÓGICO
Campo INGENIERÍA
Disciplina INGENIERÍA ELECTRÓNICA
Especialidad COMPUTACION
CVU 662849
Institución
Dependencia CAMPUS GUADALAJARA
Entidad JALISCO
Nivel 1
Vigencia Inicio: 01/01/2023
Fin: 31/12/2029

Últimas publicaciones Scopus

2026
Machine Learning Based Discrimination Between Young and Older Adults Using Brain Signals Communications in Computer and Information Science · Vol. 2701 CCIS Conference Paper
EEG-Based Discrimination of Aging Effects from Movement Therapy Using Machine Learning Communications in Computer and Information Science · Vol. 2701 CCIS Conference Paper
2025
AI-Driven Monitoring for Fish Welfare in Aquaponics: A Predictive Approach Sensors · Vol. 25 Article
Competency Learning by Machine Learning-Based Data Analysis with Electroencephalography Signals Education Sciences · Vol. 15 Article
Smart water quality regulation in sustainable aquaponics using PID control and long-term performance analysis Sustainable Engineering and Innovation · Vol. 7 Article