Perfil del usuario

Dr. DIEGO ALBERTO OLIVA NAVARRO

diego.oliva@academicos.udg.mx
Departamento de adscripción: INGENIERIA ELECTRO-FOTONICA
Nombramiento: PROFESOR DOCENTE TITULAR "B"
Categoría: DEFINITIVO

Resumen curricular:

En el 2007 obtuvo el grado de Ingeniero en Electronica y Computación por el Centro de Enseñanza Técnica Industrial (CETI) en Guadalajara, México. En el año 2010 se graduó como Maestro en Ciencias en Ingeniería Electronica y Computación en el Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI) de la Universidad de Guadalajara (UDG), en México. En el año 2015 obtuvo el grado de Doctor en Ingeniería Informática por la Universidad Complutense de Madrid (UCM) en España. Desde el 2008 ha centrado sus investigaciones en el desarrollo, implementación y diseño de algoritmos metaheurísticos. Ha publicado diversos trabajos en revistas internacionales, en temas referentes a la optimización y sus implementaciones. Desde el 2015 es miembro de la Academia Mexicana de Computación (AMEXCOMP) y del Instituto de Ingenieros Eléctricos y Electrónicos (IEEE). Desde el 2017 es miembro del Sistema Nacional de Investigadores (SNI) de México, donde en el 2019 obtuvo la distinción de Nivel II. Ha sido editor y autor de diversos libros en editoriales internacionales, es editor asociado y editor invitado para diversas revistas especializadas de alto factor de impacto. Actualmente se desempeña como profesor e investigador en la Universidad de Guadalajara (CUCEI). Además, colabora con universidades mexicanas y extranjeras en diversos proyectos de investigación. Sus principales temas de estudio son: inteligencia artificial, algoritmos de optimización metaheurísticos, optimización multiobjetivo, estimación de parámetros en ingeniería, procesamiento de imágenes y señales digitales.

Perfil de Investigador SNII:

Nivel SNII:
II
Área del conocimiento:
Area VIII - Ingenierías y Desarrollo Tecnológico
Campo de investigación:
Ciencias tecnológicas
Periodo vigente:
1 de enero de 2025 - 31 de diciembre de 2029

Perfil PRODEP:

Inicio de la vigencia:
16 de diciembre de 2024
Fin de la vigencia:
15 de diciembre de 2027

Bases de datos bibliográficas:

Publicaciones del académico:

2026 - 1 articulos.
  • Visual enhancement of chest X-ray scans through metaheuristic-based optimization of Gamma correction and CLAHE
2025 - 49 articulos.
  • Power System Stabilizer Optimization Based on Modified Black-Winged Kite Algorithm
  • Artificial Intelligence and Machine Learning Algorithms for Engineering Applications
  • Enhancing photovoltaic parameters based on modified puma optimizer
  • Multi-population estimation of distribution algorithm for multilevel thresholding in image segmentation
  • Evolutionary optimization in VANET services: a comprehensive survey, challenges and futuristic approach
  • Pareto-Based Multiobjective Optimisation for JPEG Image Compression
  • Evolutionary Self-Adjusting Masi Entropy Thresholding
  • Enhancing Neural Network Generalisation with Improved Differential Evolution
  • Dynamic comprehensive learning-based dung beetle optimizer using triangular mutation for polyps image segmentation
  • Asynchronous Differential Evolution with Lissajous Mutation for Efficient Energy Management of Plug-In Electric Vehicles
  • Robust ECG signal classification using spiking neural networks with axonal delays
  • Adversarial game optimization: A game-theoretic metaheuristic for efficient complex optimization and engineering applications
  • Metaheuristic Algorithm for Smart Grids Problems: A Brief Review
  • Non-invasive anemia detection from conjunctiva and sclera images using vision transformer with attention map explainability
  • Enhanced differential evolution through chaotic and Euclidean models for solving flexible process planning
  • Inaugural Editorial of the Transactions on Swarm and Evolutionary Learning
  • Enhanced Flatfoot Classification with Transformer Encoders and Bayesian Optimized SVM Parameters
  • Chaotic red-tailed hawk algorithm to optimize parameter power system stabilizer.
  • Advanced feature selection approach with Halton-based enhanced adaptive dung beetle algorithm
  • Effect of Foot Type on Plantar Pressure Distribution in Healthy Mexicans: Static and Dynamic Pressure Analysis
  • A Novel Modified Tornado optimizer with Coriolis force Based On Levy Flight to Optimize Proportional Integral Derivative Parameters of DC Motor
  • A multi-objective decomposition estimation of distribution algorithm for multilevel thresholding image segmentation
  • Novel distance-fitness learning scheme for ameliorating metaheuristic optimization
  • Hybrid horned lizard optimization algorithm-aquila optimizer for DC motor
  • Optimizing Electrocardiogram Denoising for Enhanced Cardiovascular Disease Detection: A Metaheuristic Approach
  • Machine learning for drone detection from images: A review of techniques and challenges
  • Power System Stabilizer Optimization Based on Modified Black‑Winged Kite Algorithm
  • Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm.
  • Improved COOT optimization: An approach to multilevel thresholding in image segmentation
  • UNIR-Net: A Novel Approach for Restoring Underwater Images with Non-Uniform Illumination Using Synthetic Data
  • A Comparative Analysis of Recent Metaheuristic Algorithms for Image Segmentation Using the Minimum Cross-Entropy for Multilevel Thresholding
  • Improving the response surface methodology optimization with metaheuristics: A practical approach
  • Optimizing Blood Plasma Distribution in Blood Banks through Evolutionary Computation
  • Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity
  • Automated Tailoring of Heuristic-Based Renyi's Entropy Maximizers for Efficient Melanoma Segmentation
  • Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining
  • Response surface-driven hyperparameter optimization for XGBoost: J. Vasquez-Ramos et al.
  • Evaluating Color Spaces for Evolutionary Image Contrast Enhancement: An Empirical Study
  • Improved Differential Evolution with Mahalanobis Distance: IMPDE
  • Enhanced Differential Evolution: Multi-Strategy Approach with Neighborhood-Based Selection
  • Edge-Aware and Attention-Aided U-Net Model for Skin Lesion Segmentation
  • Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
  • Automated Tailoring of Heuristic-Based Renyi’s Entropy Maximizers for Efficient Melanoma Segmentation*
  • CLEAR: An Efficient Low-Illumination Enhancement Method for Improved Visibility in Underwater Images
  • Artificial intelligence in medical imaging diagnosis: are we ready for its clinical implementation?
  • A Comparison of Evolutionary Computation Techniques for Parameter Estimation of Chaotic Systems
  • An adaptive Lissajous radial basis function neural network to predict the remaining useful life in batteries
  • Automated Tailoring of Heuristic-Based Renyi’s Entropy Maximizers for Efficient Melanoma Segmentation*
  • A chaotic variant of the Golden Jackal Optimizer and its application for medical image segmentation