MWATA VELU, TAT Y
INGENIERÍA · Nivel C
Desde 2018 es Professor of French as Foreign language en Manuel Avila Camacho School
Dr. Tat’y Mwata Velu was born in Kikwit City, Democratic Republic of Congo. He holds a Bachelor’s Degree in Electronics and Telecommunications from the Higher Pedagogical and Technical Institute of Kinshasa (ISPT-Kinshasa), Democratic Republic of Congo, in 2008. He has...
Dr. Tat’y Mwata Velu was born in Kikwit City, Democratic Republic of Congo. He holds a Bachelor’s Degree in Electronics and Telecommunications from the Higher Pedagogical and Technical Institute of Kinshasa (ISPT-Kinshasa), Democratic Republic of Congo, in 2008. He has a Master’s Degree in Electrical Engineering (Instrumentation and Digital Systems) from the University of Guanajuato, in 2018, and he got a Ph.D. Degree in Electrical Engineering from the same University in 2022. His research interests are focused on biological signal processing, robotics, Artificial Intelligence, embedded systems, image processing, Brain-Computer Interfaces, Deep Learning, telecommunications, and bio-inspired systems. Currently, he is collaborating with the Telematics and Digital Signal Processing Research Groups, at the Department of Electronics Engineering, University of Guanajuato, Mexico. In addition, he is an Associate Professor at the ISPT–Kinshasa (DRC), a postdoctoral researcher at the Centro de Investigación en Computación of the Instituto Politécnico Nacional, Mexico, and a member of the Sistema Nacional de Investigadores (SNI), Mexico-City, Mexico.
| Nombre | TAT Y MWATA VELU |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | INGENIERÍA ELECTRÓNICA |
| Especialidad | EEG |
| CVU | 763527 |
| Institución | |
|---|---|
| Dependencia | NO APLICA |
| Entidad | NO APLICA |
| Nivel | C |
| Vigencia | Inicio: 01/01/2023 |
| Fin: 31/12/2026 |
Últimas publicaciones Scopus
- 2024
- Rotor speed estimation for half-broken bar detection in induction motors using Kalman filtering Measurement Science and Technology · Vol. 35 Article
- Multiclass Classification of Visual Electroencephalogram Based on Channel Selection, Minimum Norm Estimation Algorithm, and Deep Network Architectures Sensors · Vol. 24 Article
- 2023
- EEG-BCI Features Discrimination between Executed and Imagined Movements Based on FastICA, Hjorth Parameters, and SVM Mathematics · Vol. 11 Article
- Motor Imagery Multi-Tasks Classification for BCIs Using the NVIDIA Jetson TX2 Board and the EEGNet Network Sensors · Vol. 23 Article
- 2022
- Improving Motor Imagery EEG Classification Based on Channel Selection Using a Deep Learning Architecture Mathematics · Vol. 10 Article
