Christian Mejia-Escobar

@uce.edu.ec

Full Professor of Software and Statistics
Central University of Ecuador

Christian Mejia-Escobar

EDUCATION

I received the BS degree in Computer and Information Systems Engineering from the National Polytechnic University (EPN), Quito, Ecuador, in 1999, a MSc degree in Computer Science, from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV), Mexico D.F., Mexico, in 2007, and a PhD degree in Computer Science from the University of Alicante, Spain, in 2023. Since 2013, he joined as a professor at the
Central University of Ecuador, Quito, Ecuador, being in 2016 appointed as a full-time professor in the areas of Software and Statistics.

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science, Computer Graphics and Computer-Aided Design
102

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Global Dataset of Solar Power Plants: Multidimensional Integration and Analysis
    A Mantilla-Guerra, C Mejia-Escobar, J Azorin-Lopez, J Garcia-Rodriguez, ...
    arXiv preprint arXiv:2603.20601 , 2026
    2026
  • Automatizaci\'on de Informes Geot\'ecnicos para Macizos Rocosos con IA
    C Valencia, A Llumigusín, S Alvarez, A Arias, C Mejia-Escobar
    arXiv preprint arXiv:2511.04690 , 2025
    2025
  • Fragmentación de Roca por Voladura en Minería a Cielo Abierto: Predicción con IA
    S Toapanta-Delgado, B Guerrero-Rodriguez, C Mejia-Escobar
    Revista Tecnológica-ESPOL 37 (E1), 38-54 , 2025
    2025
  • Geolog-IA: Conversational System for Academic Theses
    MF Pozo, AG Saltos, YT Llumiquinga, KL Aguirre, MC Jara, ...
    arXiv preprint arXiv:2510.02653 , 2025
    2025
    Citations: 1
  • Geolog-IA: Conversational System for Academic Theses
    M Fuel Pozo, A Guatumillo Saltos, Y Tipan Llumiquinga, ...
    arXiv e-prints, arXiv: 2510.02653 , 2025
    2025
  • GEOLOG-IA: SISTEMA CONVERSACIONAL SOBRE TESIS ACADÉMICAS
    MF Pozo, AG Saltos, YT Llumiquinga, KL Aguirre, MC Jara, ...
    arXiv preprint arXiv:2510.02653 , 2025
    2025
  • Detecci\'on y Cuantificaci\'on de Erosi\'on Fluvial con Visi\'on Artificial
    P Maji, M Túquerres, S Valencia, M Valenzuela, C Mejia-Escobar
    arXiv preprint arXiv:2507.11301 , 2025
    2025
  • Detección y Cuantificación de Erosión Fluvial con Visión Artificial
    P Maji, M Túquerres, S Valencia, M Valenzuela, C Mejía-Escobar
    arXiv preprint arXiv:2507.11301 , 2025
    2025
    Citations: 1
  • Methodological Framework for the Creation of Digital Twins for Photovoltaic Power Plants
    A Mantilla-Guerra, C Mejia-Escobar, J Azorin-Lopez, J Garcia-Rodriguez
    International Work-Conference on Artificial Neural Networks, 575-585 , 2025
    2025
  • Automatic description of rock thin sections: A web application
    S Paucar, C Mejia-Escobar, V Collaguazo
    Artificial Intelligence in Geosciences 6 (1), 100118 , 2025
    2025
    Citations: 4
  • Improving landslides prediction: meteorological data preprocessing based on supervised and unsupervised learning
    B Guerrero-Rodriguez, J Salvador-Meneses, J Garcia-Rodriguez, ...
    Cybernetics and Systems 55 (6), 1332-1356 , 2024
    2024
    Citations: 9
  • Descripción automática de secciones delgadas de rocas: una aplicación Web
    CMEVC Stalyn Paucar
    10.48550/arXiv.2402.15039, 21 , 2024
    2024
  • Descripción automática de secciones delgadas de rocas: una aplicación Web
    S Paucar, C Mejía-Escobar, V Collaguazo
    arXiv preprint arXiv:2402.15039 , 2024
    2024
    Citations: 1
  • Improving landslide prediction by computer vision and deep learning
    B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ...
    Integrated Computer-Aided Engineering 31 (1), 77-94 , 2024
    2024
    Citations: 25
  • Volcanic ash delimitation using Artificial Intelligence based on Pix2Pix
    C Carrillo, G Torres, C Mejia-Escobar
    arXiv preprint arXiv:2307.12970 , 2023
    2023
  • Improving facial expression recognition through data preparation and merging
    C Mejia-Escobar, M Cazorla, E Martinez-Martin
    IEEE Access 11, 71339-71360 , 2023
    2023
    Citations: 12
  • Delimitación de Ceniza Volcánica Mediante Inteligencia Artificial Basada en Pix2Pix
    C Carrillo, G Torres, C Mejía-Escobar
    arXiv preprint arXiv:2307.12970 , 2023
    2023
  • Artificial image dataset of categorical emotions (generated with Stable Diffusion)
    EMM Christian Mejia-Escobar, Miguel Cazorla
    https://www.kaggle.com/datasets/mejiaescobarchris/fer-stable-diffusion-dataset , 2023
    2023
  • Aplicación de técnicas de Deep Learning para el reconocimiento de páginas Web y emociones faciales: Un estudio comparativo y experimental
    C Mejia Escobar
    Aplicación de técnicas de Deep Learning para el reconocimiento de páginas … , 2023
    2023
  • Towards a Better Performance in Facial Expression Recognition: A Data‐Centric Approach
    C Mejia-Escobar, M Cazorla, E Martinez-Martin
    Computational intelligence and neuroscience 2023 (1), 1394882 , 2023
    2023
    Citations: 18

MOST CITED SCHOLAR PUBLICATIONS

  • Improving landslide prediction by computer vision and deep learning
    B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ...
    Integrated Computer-Aided Engineering 31 (1), 77-94 , 2024
    2024.0
    Citations: 25
  • Towards a Better Performance in Facial Expression Recognition: A Data‐Centric Approach
    C Mejia-Escobar, M Cazorla, E Martinez-Martin
    Computational intelligence and neuroscience 2023 (1), 1394882 , 2023
    2023.0
    Citations: 18
  • Improving facial expression recognition through data preparation and merging
    C Mejia-Escobar, M Cazorla, E Martinez-Martin
    IEEE Access 11, 71339-71360 , 2023
    2023.0
    Citations: 12
  • Improving landslides prediction: meteorological data preprocessing based on supervised and unsupervised learning
    B Guerrero-Rodriguez, J Salvador-Meneses, J Garcia-Rodriguez, ...
    Cybernetics and Systems 55 (6), 1332-1356 , 2024
    2024.0
    Citations: 9
  • Delimitación automática de ceniza volcánica en imágenes satelitales mediante Deep Learning
    RJ Aldás Núñez, KV Tuz Chamorro, JA Vega Ocaña, MS Velasco Haro, ...
    FIGEMPA: Investigación y Desarrollo 13 (1), 48-58 , 2022
    2022.0
    Citations: 6
  • A Large Visual, Qualitative, and Quantitative Dataset for Web Intelligence Applications
    C Mejia-Escobar, M Cazorla, E Martinez-Martin
    Computational Intelligence and Neuroscience 2023 (1), 1094823 , 2023
    2023.0
    Citations: 5
  • Automatic description of rock thin sections: A web application
    S Paucar, C Mejia-Escobar, V Collaguazo
    Artificial Intelligence in Geosciences 6 (1), 100118 , 2025
    2025.0
    Citations: 4
  • A large visual, qualitative and quantitative dataset of web pages
    C Mejia-Escobar, M Cazorla, E Martinez-Martin
    arXiv preprint arXiv:2105.07113 , 2021
    2021.0
    Citations: 4
  • Java-based framework for implementing soft real-time distributed applications
    J Rodríguez, D Decouchant, S Mendoza, CM Escobar
    2008 Mexican International Conference on Computer Science, 163-168 , 2008
    2008.0
    Citations: 4
  • Estimación de áreas de cultivo mediante Deep Learning y programación convencional
    J Caicedo, P Acosta, R Pozo, H Guilcapi, C Mejia-Escobar
    arXiv preprint arXiv 2207 , 2022
    2022.0
    Citations: 2
  • Landslide prediction with machine learning and time windows
    B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ...
    International Work-Conference on the Interplay Between Natural and … , 2022
    2022.0
    Citations: 2
  • 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
    HS González, IP López, PG Bringas, H Quintián, E Corchado
    Springer Nature , 2021
    2021.0
    Citations: 2
  • Herramienta autoconfigurable para el desarrollo de aplicaciones distribuidas de tiempo real flexibles y dinámicas
    CIM Escobar
    Centro de Investigación y Estudios Avanzados del IPN, México , 2007
    2007.0
    Citations: 2
  • Geolog-IA: Conversational System for Academic Theses
    MF Pozo, AG Saltos, YT Llumiquinga, KL Aguirre, MC Jara, ...
    arXiv preprint arXiv:2510.02653 , 2025
    2025.0
    Citations: 1
  • Detección y Cuantificación de Erosión Fluvial con Visión Artificial
    P Maji, M Túquerres, S Valencia, M Valenzuela, C Mejía-Escobar
    arXiv preprint arXiv:2507.11301 , 2025
    2025.0
    Citations: 1
  • Descripción automática de secciones delgadas de rocas: una aplicación Web
    S Paucar, C Mejía-Escobar, V Collaguazo
    arXiv preprint arXiv:2402.15039 , 2024
    2024.0
    Citations: 1
  • Defining High Risk Landslide Areas Using Machine Learning
    B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ...
    International Work-Conference on the Interplay Between Natural and … , 2022
    2022.0
    Citations: 1
  • Webpage Categorization Using Deep Learning
    C Mejia-Escobar, M Cazorla, E Martinez-Martin
    International Workshop on Soft Computing Models in Industrial and … , 2021
    2021.0
    Citations: 1
  • Generación y evaluación de la cartografía ambiental para la plantación florícola FIORI DI MIWI, ubicada en el sector de Convalecencia, parroquia Juan Montalvo, Cayambe, Ecuador …
    CA Díaz Narváez
    Quito: UCE , 2020
    2020.0
    Citations: 1
  • Estimación del Riesgo de Deslizamientos Mediante Algoritmos de Aprendizaje Automático (Vía Calacalí-Nanegalito)
    D Bustos, S Estrada, G Soria, C Mejia-Escobar
    Citations: 1