OLIVA NAVARRO, DIEGO ALBERTO
MATEMÁTICAS · Nivel 2
Desde 2017 es Profesor Investigador en Universidad de Guadalajara
Diego Oliva received the B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico in 2007, the M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010...
Diego Oliva received the B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico in 2007, the M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010 and Ph.D. in Informatics from the Complutense University of Madrid in 2015. Currently, he is an associate professor at the University of Guadalajara in Mexico. His current research interests include computer vision, image processing, artificial intelligence and metaheuristic optimization algorithms.
Información*
| Nombre | DIEGO ALBERTO OLIVA NAVARRO |
|---|---|
| Área | FÍSICO-MATEMÁTICAS Y CIENCIAS DE LA TIERRA |
| Campo | MATEMÁTICAS |
| Disciplina | CIENCIA DE LOS ORDENADORES |
| Especialidad | INTELIGENCIA ARTIFICIAL |
| CVU | 272038 |
| Institución | |
|---|---|
| Dependencia | CENTRO UNIVERSITARIO DE CIENCIAS EXACTAS E INGENIERIA |
| Entidad | JALISCO |
| Nivel | 2 |
| Vigencia | Inicio: 01/01/2025 |
| Fin: 31/12/2029 |
* Información del primer trimestre de 2026.
Fuente: SECIHTI.
Últimas publicaciones Scopus
- 2026
- Machine and deep learning in facial expression recognition: a survey based on facial action units Scientific Reports · Vol. 16 Article
- Learning Differential Evolution Mutation Strategies via Performance-Driven Large Language Models Gecco 2026 Companion Proceedings of the 2026 Genetic and Evolutionary Computation Conference Conference Paper
- Explainable Glaucoma Screening via Optic Disc Localization and Comparative Class Activation Map-Based Analysis Machine Learning and Knowledge Extraction · Vol. 8 Article
- Jalak Bali Optimization Algorithm: a novel metaheuristic algorithm for Solving Engineering Optimization Problems Journal of Robotics and Control Jrc · Vol. 7 Article
- Adaptive metaheuristic design using Savage’s minimum regret criterion: a case study in differential evolution Journal of Supercomputing · Vol. 82 Article