Perfil del usuario

Dr. ERIK VALDEMAR CUEVAS JIMÉNEZ

erik.cuevas@academicos.udg.mx
Departamento de adscripción: INGENIERIA ELECTRO-FOTONICA
Nombramiento: PROFESOR E INVESTIGADOR TITULAR "C"
Categoría: DEFINITIVO

Resumen curricular:

El doctor Erik Cuevas es profesor en el Centro Universitario de Ciencias Exactas e ingenierías de la Universidad de Guadalajara. En 2006 obtuvo doctor en Inteligencia Artificial por la Universidad Libre de Berlín en Alemania. Es miembro del Sistema Nacional de Investigadores Nivel III, con un índice H de 33. Ha publicado varios artículos y libros. Actualmente es editor de las revistas Expert System with Applications, Soft Computing, Mathematics and Computers in Simulation, Artificial Intelligence Review, Applied Soft Computing, Applied Mathematical Modelling, International Journal of Machine Learning and Cybernetics, Pattern Analysis and Applications, Evolutionary Intelligence, International Journal of Computational Intelligence Systems. Sur áreas de interés son los algoritmos metaheurísticos, el machine learning y procesamiento de imagen.

Perfil de Investigador SNII:

Nivel SNII:
III
Área del conocimiento:
VIII. Ingenierías y Desarrollo Tecnológico, y
Campo de investigación:
INTELIGENCIA ARTIFICIAL
Periodo vigente:
1 de enero de 2021 - 31 de diciembre de 2025

Perfil PRODEP:

Inicio de la vigencia:
30 de agosto de 2022
Fin de la vigencia:
29 de agosto de 2028

Bases de datos bibliográficas:

Publicaciones del académico:

2024 - 37 articulos.
  • An initialization approach for metaheuristic algorithms by using Gibbs sampling
  • A novel optimization approach based on unstructured evolutionary game theory
  • Image segmentation with Cellular Automata
  • Enhancing Bicycle Trajectory Planning in Urban Environments through Complex Network Optimization
  • Metaheuristic optimization with dynamic strategy adaptation: An evolutionary game theory approach
  • Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses
  • Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?
  • Utilizing the Moth Swarm Algorithm to Improve Image Contrast
  • Population Control in Metaheuristic Algorithms: Can Fewer Be Better?
  • A Novel Method for Initializing Populations Using the Metropolis–Hastings (MH) Technique
  • A Measure of Diversity for Metaheuristic Algorithms Employing Population-Based Approaches
  • Considering radial basis function neural network for effective solution generation in metaheuristic algorithms
  • Introduction to Metaheuristic Methods
  • Enhancing Anisotropic Diffusion Filtering via Multi-objective Optimization
  • An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors
  • Fractional Fuzzy Controller Using Metaheuristic Techniques
  • DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images
  • Algoritmos de optimización en ingeniería: Aplicaciones en administración e ingeniería
  • Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach
  • A graph segmentation method based on compatibility subgraph aggregation.
  • Integration of Metaheuristic Operators Through Unstructured Evolutive Game Theory Approach: A novel hybrid Methodology
  • Deepfake Detection using Deep Feature Stacking and Meta-learning
  • Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic Containment
  • Image Processing and Machine Learning: Volume 1: Foundations of Image Processing
  • Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic …
  • Balancing Individual and Collective Strategies: A New Approach in Metaheuristic Optimization.
  • Pole and Slot Configurations for Efficient Brushless Permanent Magnet Motors
  • Prototyping
  • Basic Concepts of Motors
  • 2D Sketching in CAD Software for 3D Printing
  • Fundamentals of Electromagnetism
  • Setting up a 3D Model for a 3D Printer
  • Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory
  • ENHANCED BONOBO OPTIMIZER FOR OPTIMIZING DYNAMIC PHOTOVOLTAIC MODELS
  • A new histogram equalization technique for contrast enhancement of grayscale images using the differential evolution algorithm
  • Social influence dynamics for image segmentation: a novel pixel interaction approach
  • 3D Design in CAD Software for 3D Printing
2023 - 13 articulos.
  • A novel hybrid search strategy for evolutionary fuzzy optimization approach
  • Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach
  • Trajectory-Driven Metaheuristic Approach Using a Second-Order Model
  • Multi-objective Optimization of Anisotropic Diffusion Parameters for Enhanced Image Denoising
  • Exploring the Potential of Agent Systems for Metaheuristics
  • Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony
  • Introduction to Metaheuristic Schemes: Characteristics, Properties, and Importance in Solving Optimization Problems
  • Efficient Image Contrast Enhancement by Using the Moth Swarm Algorithm
  • New Metaheuristic Schemes: Mechanisms and Applications
  • Studies in Computational Intelligence
  • Optimal evaluation of re-opening policies for COVID-19 through the use of metaheuristic schemes
  • Roots of Nonlinear Equations
  • Image Processing and Machine Learning, Volume 1: Foundations of Image Processing