Wassila Ajbar

@unam.mx

Institute of Engineering, UNAM
National Autonomous University of Mexico (UNAM)

Wassila Ajbar


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https://researchid.co/wassila
Dr. Wassila Ajbar is a postdoctoral researcher at École des Mines de Saint-Étienne, France, participating in a European project funded by ERAMIN. She previously completed a postdoctoral fellowship at the National Autonomous University of Mexico’s Institute of Engineering, funded by DGAPA. She holds a PhD in Engineering from the Center for Research in Engineering and Applied Sciences (CIICAp-UAEM), Mexico, specializing in “Thermal Performance Improvement of Parabolic Trough Solar Collector Systems through Artificial She also holds two Master's degrees, one in Environmental Engineering and Industrial Management from the Faculty of Sciences and Techniques of Tangier, Morocco, and the other in the same field from CIICAp-UAEM. Her expertise encompasses artificial intelligence, ANN, CNN, RNN, multivariable optimization, numerical simulation, and sensitivity analysis. Dr. Ajbar is a recognized member of Mexico's National System of Researchers (SNII).

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Artificial Intelligence, Computer Engineering, Computer Science Applications
10

Scopus Publications

315

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Expert system for the parabolic trough collector control through classical and conformable transfer functions in ANNi-PSO
    W Ajbar, M Cervantes-Bobadilla, JA Hernández–Pérez, JE Solis-Perez, ...
    Expert Systems with Applications 280, 127343 , 2025
    2025.0
    Citations: 1
  • Optimization and performance enhancement of parabolic trough collectors using hybrid nanofluids and ANN modeling
    SK Singh, AK Tiwari, W Ajbar
    Journal of the Taiwan Institute of Chemical Engineers 169, 105984 , 2025
    2025.0
    Citations: 11
  • Outlet Pressure Regulation in a High-Viscosity Two-Phase Flow Horizontal Pipeline Using Inverse ANN and PSO
    W Ajbar, L Torres, JEG Vázquez, M Cervantes-Bobadilla
    2024 10th International Conference on Control, Decision and Information … , 2024
    2024.0
  • Development of artificial neural networks for the prediction of the pressure field along a horizontal pipe conveying high-viscosity two-phase flow
    W Ajbar, L Torres, JEV Guzmán, J Hernández-García, A Palacio-Pérez
    Flow Measurement and Instrumentation 96, 102541 , 2024
    2024.0
    Citations: 16
  • Improvement of the classical artificial neural network simulation model of the parabolic trough solar collector outlet temperature and thermal efficiency using the conformable …
    W Ajbar, JE Solís-Pérez, E Viera-Martin, A Parrales, JF Gómez-Aguilar, ...
    Sustainable Energy, Grids and Networks 36, 101200 , 2023
    2023.0
    Citations: 20
  • Thermal efficiency improvement of parabolic trough solar collector using different kinds of hybrid nanofluids
    W Ajbar, JA Hernández, A Parrales, L Torres
    Case Studies in Thermal Engineering 42, 102759 , 2023
    2023.0
    Citations: 69
  • Inteligencia artificial aplicada a colectores solares para el calentamiento de agua de uso doméstico
    JAH PEREZ, W AJBAR, AP Bahena, AH RODRIGUEZ, DJ ROMERO
    Inventio, la génesis de la cultura universitaria en Morelos , 2023
    2023.0
  • Mejoramiento del rendimiento térmico del sistema de los colectores solares de canal parabólico mediante la inteligencia artificial
    W AJBAR
    El autor , 2022
    2022.0
  • Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review
    W Ajbar, A Parrales, A Huicochea, JA Hernández
    Renewable and Sustainable Energy Reviews 156, 111947 , 2022
    2022.0
    Citations: 87
  • Inteligencia artificial aplicada a colectores solares para el calentamiento de agua de uso doméstico
    W Ajbar, JAH Pérez, AP Bahena, A Huicochea, D Juárez-Romero
    Inventio 18 (45), 1-10 , 2022
    2022.0
    Citations: 1
  • Artificial neural network applied to the renewable energy system performance
    A Parrales, ED Reyes-Téllez, W Ajbar, JA Hernández
    Artificial Neural Networks for Renewable Energy Systems and Real-World … , 2022
    2022.0
    Citations: 5
  • Identification of the relevant input variables for predicting the parabolic trough solar collector's outlet temperature using an artificial neural network and a multiple linear …
    W Ajbar, A Parrales, S Silva-Martínez, A Bassam, OA Jaramillo, ...
    Journal of Renewable and Sustainable Energy 13 (4) , 2021
    2021.0
    Citations: 21
  • The multivariable inverse artificial neural network combined with GA and PSO to improve the performance of solar parabolic trough collector
    W Ajbar, A Parrales, U Cruz-Jacobo, RA Conde-Gutiérrez, A Bassam, ...
    Applied Thermal Engineering 189, 116651 , 2021
    2021.0
    Citations: 81
  • Sistema de concentradores solares de canal parabólico para la generación de calor de proceso: diseño, construcción y modelado matemático
    W AJBAR
    El autor , 2019
    2019.0
    Citations: 3
  • Artificial Neural Networks for Predicting Pressure in High-Viscosity Two-Phase Flow: A Comparative Analysis
    W Ajbar, L Torres, JEV Guzmán, A Palacio-Pérez

MOST CITED SCHOLAR PUBLICATIONS

  • Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review
    W Ajbar, A Parrales, A Huicochea, JA Hernández
    Renewable and Sustainable Energy Reviews 156, 111947 , 2022
    2022.0
    Citations: 87
  • The multivariable inverse artificial neural network combined with GA and PSO to improve the performance of solar parabolic trough collector
    W Ajbar, A Parrales, U Cruz-Jacobo, RA Conde-Gutiérrez, A Bassam, ...
    Applied Thermal Engineering 189, 116651 , 2021
    2021.0
    Citations: 81
  • Thermal efficiency improvement of parabolic trough solar collector using different kinds of hybrid nanofluids
    W Ajbar, JA Hernández, A Parrales, L Torres
    Case Studies in Thermal Engineering 42, 102759 , 2023
    2023.0
    Citations: 69
  • Identification of the relevant input variables for predicting the parabolic trough solar collector's outlet temperature using an artificial neural network and a multiple linear …
    W Ajbar, A Parrales, S Silva-Martínez, A Bassam, OA Jaramillo, ...
    Journal of Renewable and Sustainable Energy 13 (4) , 2021
    2021.0
    Citations: 21
  • Improvement of the classical artificial neural network simulation model of the parabolic trough solar collector outlet temperature and thermal efficiency using the conformable …
    W Ajbar, JE Solís-Pérez, E Viera-Martin, A Parrales, JF Gómez-Aguilar, ...
    Sustainable Energy, Grids and Networks 36, 101200 , 2023
    2023.0
    Citations: 20
  • Development of artificial neural networks for the prediction of the pressure field along a horizontal pipe conveying high-viscosity two-phase flow
    W Ajbar, L Torres, JEV Guzmán, J Hernández-García, A Palacio-Pérez
    Flow Measurement and Instrumentation 96, 102541 , 2024
    2024.0
    Citations: 16
  • Optimization and performance enhancement of parabolic trough collectors using hybrid nanofluids and ANN modeling
    SK Singh, AK Tiwari, W Ajbar
    Journal of the Taiwan Institute of Chemical Engineers 169, 105984 , 2025
    2025.0
    Citations: 11
  • Artificial neural network applied to the renewable energy system performance
    A Parrales, ED Reyes-Téllez, W Ajbar, JA Hernández
    Artificial Neural Networks for Renewable Energy Systems and Real-World … , 2022
    2022.0
    Citations: 5
  • Sistema de concentradores solares de canal parabólico para la generación de calor de proceso: diseño, construcción y modelado matemático
    W AJBAR
    El autor , 2019
    2019.0
    Citations: 3
  • Expert system for the parabolic trough collector control through classical and conformable transfer functions in ANNi-PSO
    W Ajbar, M Cervantes-Bobadilla, JA Hernández–Pérez, JE Solis-Perez, ...
    Expert Systems with Applications 280, 127343 , 2025
    2025.0
    Citations: 1
  • Inteligencia artificial aplicada a colectores solares para el calentamiento de agua de uso doméstico
    W Ajbar, JAH Pérez, AP Bahena, A Huicochea, D Juárez-Romero
    Inventio 18 (45), 1-10 , 2022
    2022.0
    Citations: 1
  • Outlet Pressure Regulation in a High-Viscosity Two-Phase Flow Horizontal Pipeline Using Inverse ANN and PSO
    W Ajbar, L Torres, JEG Vázquez, M Cervantes-Bobadilla
    2024 10th International Conference on Control, Decision and Information … , 2024
    2024.0
  • Inteligencia artificial aplicada a colectores solares para el calentamiento de agua de uso doméstico
    JAH PEREZ, W AJBAR, AP Bahena, AH RODRIGUEZ, DJ ROMERO
    Inventio, la génesis de la cultura universitaria en Morelos , 2023
    2023.0
  • Mejoramiento del rendimiento térmico del sistema de los colectores solares de canal parabólico mediante la inteligencia artificial
    W AJBAR
    El autor , 2022
    2022.0
  • Artificial Neural Networks for Predicting Pressure in High-Viscosity Two-Phase Flow: A Comparative Analysis
    W Ajbar, L Torres, JEV Guzmán, A Palacio-Pérez