Perfil del usuario

Dr. JORGE DE JESUS GALVEZ RODRIGUEZ

jorge.galvez@academicos.udg.mx
Departamento de adscripción: INNOVACION BASADA EN LA INFORMACION Y EL CONOCIMIENTO
Nombramiento: PROFESOR E INVESTIGADOR ASOCIADO "A"
Categoría: TEMPORAL

Resumen curricular:

El Dr. Jorge de Jesús Gálvez Rodríguez se tituló de la Licenciatura en Informática y de la Licenciatura en Ingeniería en Computación en la Universidad de Guadalajara. Obtuvo el título de Maestro y Doctor en Ciencias en Ingeniería Electrónica y Computación en la Universidad de Guadalajara. Sus proyectos de investigación abarcan: vehículos autónomos, fútbol robótico, robótica social, manejo inteligente de tráfico vehicular, entre otros. Actualmente es profesor del Centro Universitario de Ciencias Exactas e Ingenierías de la Universidad de Guadalajara. Además, es miembro del Sistema Nacional de Investigadores con la distinción de nivel I.

Perfil de Investigador SNII:

Nivel SNII:
I
Área del conocimiento:
VIII. Ingenierías y Desarrollo Tecnológico, y
Campo de investigación:
Ingenieria
Periodo vigente:
1 de enero de 2023 - 31 de diciembre de 2027

Bases de datos bibliográficas:

Publicaciones del académico:

2024 - 5 articulos.
  • Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning
  • Identifying foraging spatial cues in beehive sound activity using machine learning methods
  • An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective
  • A novel Histogram Image Clustering Approach using Enhanced Firefly Algorithm with K-means and expanded exploitation of Aquila Optimizer
  • IMPROVING OVULATION TRIGGER TIMING WITH ARTIFICIAL INTELLIGENCE (AI) TO INCREASE FROZEN EMBRYO YIELD DURING OVARIAN STIMULATION CYCLES
2023 - 7 articulos.
2022 - 15 articulos.
  • An Analytical Review on Rough Set Based Image Clustering
  • Comparison of Metaheuristics for Chaotic Systems Estimation
  • Comparison of Metaheuristics Techniques and Agent-Based Approaches
  • IIR system identification using several optimization techniques: A Review Analysis
  • Comparison of Optimization Techniques for Solar Cells Parameter Identification
  • Fundamentals of Metaheuristic Computation
  • Fractional-Order Estimation Using via Locust Search Algorithm
  • A Comparative Approach for Two-Dimensional Digital IIR Filter Design Applying Different Evolutionary Computational Techniques
  • Comparison Study of Novel Evolutionary Algorithms for Elliptical Shapes in Images
  • Analysis and Comparison of Metaheuristics
  • Fitness based weighted flower pollination algorithm with mutation strategies for image enhancement
  • Histogram-based fast and robust image clustering using stochastic fractal search and morphological reconstruction
  • A novel fuzzy logic-based improved cuckoo search algorithm
  • Whale optimizer-based clustering for breast histopathology image segmentation
  • Bio-inspired algorithms
2021 - 10 articulos.
  • Evolutionary-Mean shift algorithm for dynamic multimodal function optimization
  • Paddy disease classification study: a deep convolutional neural network approach
  • Cauchy with whale optimizer based eagle strategy for multi-level color hematology image segmentation
  • Robust clustering routing method for wireless sensor networks considering the Locust search scheme
  • Kernel recursive least square approach for power system harmonic estimation
  • Histogram equalization variants as optimization problems: a review
  • Randomly attracted rough firefly algorithm for histogram based fuzzy image clustering
  • A mean shift segmentation scheme using several pixel characteristics
  • An analytical review on rough set based image clustering
  • Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications
2020 - 13 articulos.
  • A new metaheuristic approach based on agent systems principles
  • An overview on nature-inspired optimization algorithms and their possible application in image processing domain
  • Comparison of circular symmetric low-pass digital iir filter design using evolutionary computation techniques
  • Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation
  • A Competitive Memory Paradigm for Multimodal Optimization Driven by Clustering and Chaos
  • Acute lymphoblastic leukemia image segmentation driven by stochastic fractal search
  • Toward the modification of flower pollination algorithm in clustering-based image segmentation
  • A hybrid optimization approach based on clustering and chaotic sequences
  • Linear Regression Techniques for Car Accident Prediction
  • Image thresholding with metaheuristic algorithms for cerebral injuries
  • Fuzzy logic based optimization algorithm
  • Recent metaheuristics algorithms for parameter identification
  • Knowledge-based optimization algorithm