Dr. Andrés Méndez Vázquez

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Andres Mendez-Vazquez

  • Andres Mendez-Vazquez is an associate research professor at Cinvestav Guadalajara where he leads a Machine Learning Research Group. He got his PhD at the University of Florida, Gainesville, Florida, USA in 2008. His research interests are in Machine Learning algorithms, Computational Mathematics, Optimization and Statistical methods, and Computational Algorithms. He has participated in several projects for the USA Army,Mexican Air Force, Oracle MDC, IBM Mexico, and several startups.
 
  • Education 
    • Bachelor in Mathematics at Universidad of Yucatán, Mexico, 1999.
    • Master in Computer Science at University of Florida, USA, 2002.
    • Ph.d in Computer Engineering at University of Florida, USA, 2008.
    • Postdoctoral in Ambience Intelligence at University of Florida, USA, 2009.
  • Research Interests
    • Machine Learning algorithms
    • Computational Mathematics
    • Optimization and Statistical methods
    • Computational Algorithms
    • Computer Vision Algorithms

  • Open Research Projects
    • Machine Learning Algorithms for Bio-Signal Identification
    • Machine Learning Algorithms for Hyperspectral Analysis
    • Machine Learnng Algorithms for Kernel Learning
    • Tensor Decomposition Methods for Machine Learning Algorithms
    • Deep Learning Architectures using Statistical Methods and Tensor Methods
    • Machine Learning and Statistical Modeling of Social Networks
    • Machine Learning and Statistical Modeling of Feature Selection

  • Current Students (Phd and Master)
    • Ph.d Jairo Salazar Vazquez "Hyperespectral Analysis"
    • Ph.d Edgar Alejandro Llamas Mejia "Wavlet Analysis of Biosignals"
    • Ph.d Mauricio Maldonado Chan "Deep Learning Architectures for Classification"
    • Ph.d  Luis Ricardo Peña Llama "Kernel Learning for Classification"
    • Ph.d Ivan Alejandro Garcia Ramirez "Algorithms for Feature Selection"
    • Ph.d Lea Vega-Romero "Influence Analysis in Social Networks" 
    • Ph.d Rodolfo Ruben Alvarez Gonzalez "Signal processing and Machine Learning for processing Biosignals"
    • Master Arturo Marquez Cerda "Graph Analysis using Topological Data Analysis"
  • Past Students
    • Master - Jose Manuel Sandoval Garcia "Bayesian DIRECT: a global optimizer for non convex, expensive sampling and high dimensional functions" 2017
      • Software Engineer at Microsoft, Redmond Washington
      • Linkedin  
    • Master - Edwin Efrain Jimenez Lepe "Deep Residual Hashing Neural Network for Image Retrieval"  2017
    • Master - Dario Bahena Tapia "Practical Computation of the Fiedler Vector in a Single Processor" Adviser Andres Mendez-Vazquez Co-Adviser  Isaac D Scherson 2017
      • Machine Learning Engineer (apprentice) at Oracle Management Cloud
      • Linkedin
    • Master - Maria Celeste Ramirez Trujillo "Detección de peatones y coches en imágenes urbanas basada en descriptores empleando EM y LSH" 2017
      • Computer Vision Software Enginner – Robotics 
      • celeste.ramirez@gbargo.com 
      • http://gbargo.com/
    • Ph.d Cristian Eduardo Boyain y Goytia Luna "Heurística de crecimiento y aprendizaje por aproximación para planeación de movimientos" Adviser Andres Mendez-Vazquez Co-Adviser Marco Antonio Ramos Corchado 2017
      • Lecturer Computer Science ITESO
    • Ph.d - Arturo Garcia Garcia "Using Dirichlet Processes and Swarm Optimization for Learning Fuzzy Rules" Adviser Andres Mendez-Vazquez Co-Adviser Marek Z. Reformat  2017
      • Chief Engineer at Anmo Technologies
      • Linkedin
    • Master - Lea Vega Romero "Analysis Of Important Nodes And Topics On Large-Scale Social Networks" 2016
      • Phd student Cinvestav Guadalajara
      • Linkedin
    • Master - Arturo Calderon Mora  "Algorithmic Discovery of Private Attributes from Public Social Networks Data for the Study"   2016
      • Software Engineer at Microsoft, Redmond, Washington
      • Linkedin
    • Master - Jairo Salazar Vazquez "Automatic endmember extraction algorithms for hyperspectral image analysis" 2015
    • Ph.d - Arturo Raymundo Aviles "Multiobjective Optimization and Adaptative Learning for QoS in Networking." Adviser Mario Siller Co-Adviser Andres Mendez-Vazquez 2014
      • Project Manager Technological Innovation at Grupo Plenum, Merida, Yucatan.
      • Linkedin
    • Ph.d - Victor Fernandez Cervantes "Interpretación de Estructura y Movimiento Corporal Usando Teoría de Patrones Difusa" Adviser Andres Mendez-Vazquez Co-Adviser Marco Antonio Ramos Corchado 2014
    • Ph.d - Rocio Chavez Alvarez "Using SOM for cellular cycle identification"  Adviser Arturo Chavoya Peña Co-Adviser Andres Mendez-Vazquez 2014
      • Data Scientist with focus on Bioinformatics CIATEJ, Universidad de Guadalajara
      • Linkedin
    • Master - Fernando Santos Sanchez "Semantic Web PageRanking" 2014
      • iPhd Student in the Web Science Program, Southhampton University, England
      • Linkedin
    • Master - Agustin Sancen Plaza "Influnce Maximization Using Classification by Entropy in Graphs" 2013
    • Master - Rafael Orozco Lopez "Robust Object Recognition using Shock trees and SIFT Descriptors" 2013
      • Working as Software Engineer at "Centro de innovación de internet of things", Cinvestav Guadalajara
      • Linkedin
    • Master - Arturo García García "Uso de los Procesos de Dirichlet y Optimización por Colonia de Hormigas para el Aprendizaje de Sistemas Difusos" 2013
      • Chief Engineer at Anmo Technologies, Irapuato, Guanajuato
      • Linkedin
    • Master - David Ernesto Caro Contreras "Dentritic Neuronal Network applications for Formal Concept Analysis" 2013
      • Phd Student at  Universidade Estadual de Campinas, Brazil
      • WePage
    • Ph.d - J. Guadalupe Olascuaga Cabrera "Localized Strategies for Wireless Network Formation and Maintenance" Adviser Luis Ernesto Lopez Mellado Co-Adviser Andres Mendez-Vazquez 2013
      • Working at Software Developer 4 Oracle MDC and Associate Professor ITESO 
      • Linkedin


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