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Dr. Zineb Bounoua | Electrical Engineering and Energy | Best Researcher Award

Teacher researcher at Private University of Fez, Macau

Summary:

Dr. Zineb Bounoua is a researcher and academic specializing in renewable energy, with a particular focus on solar radiation modeling and forecasting. She has contributed significantly to the development of innovative methods for estimating and predicting global solar irradiation, utilizing machine learning, artificial neural networks (ANNs), and deep learning approaches. Dr. Bounoua’s work aims to improve the accuracy and reliability of solar energy predictions, which are crucial for optimizing solar power generation.

She has published numerous articles in high-impact journals such as Sustainable Materials and Technologies and Journal of Cleaner Production, where her research explores the use of meteorological data and machine learning techniques for daily and hourly solar irradiation forecasts. Her contributions to solar energy research are recognized globally, with several of her papers being widely cited.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

  • Doctorate in Electrical Engineering (2016ā€“2021)
    University: Sidi Mohammed Ben Abdellah University (USMBA), Faculty of Science and Technology, Fes, Morocco
    Laboratory: Intelligent Systems, Geo-resources, and Renewable Energies (SIGER)
    Thesis: Estimation and Prediction of Solar Radiation using Machine Learning and Deep Learning Models
    Honors: Very Honorable with Jury Congratulations
    Summary: Her thesis focuses on analyzing and predicting temporal variations of different solar components (GHI, DHI, and DNI) using machine learning and deep learning techniques, with applications for solar energy management and energy mix strategies.
  • Master of Science and Technology in Electronics, Signals, and Automated Systems (2014ā€“2016)
    University: USMBA, Fes, Morocco
    Honors: Good
  • Bachelor of Science and Technology in Electronics, Telecommunications, and Informatics (2010ā€“2014)
    University: USMBA, Fes, Morocco
    Honors: Very Good

šŸ¢ Professional Experience:

  • Assistant Professor (February 2023 ā€“ Present)
    Institution: Faculty of Engineering Sciences, Private University of Fes (UPF)
    Roles:

    • Coordinator of Scientific Preparatory Classes (CPS)
    • Technical advisor at KUB789, UPF
  • Adjunct Lecturer (February 2022 ā€“ January 2023)
    Institution: School of Technology (EST), USMBA
    Field: Thermal and Energy Engineering
  • Adjunct Lecturer (2017ā€“2022)
    Institution: Faculty of Science and Technology, USMBA
    Field: Electrical Engineering

Teaching Experience

Dr. Bounoua has an extensive teaching portfolio in electrical engineering and renewable energies, including courses on artificial intelligence, control systems, fluid mechanics, and solar power systems at both undergraduate and postgraduate levels. She has supervised numerous student projects and final-year thesis projects in engineering disciplines, especially in renewable energy systems.

Research Interests:

  • Machine Learning and Deep Learning for Solar Radiation Prediction
  • Renewable Energy Systems and Energy Mix Optimization
  • Energy Efficiency and Environmental Monitoring Systems
  • Intelligent Control Systems and Embedded Systems

Scientific Contributions

  • Coordinator for two research topics in collaboration with Frontiers journals:
    • Smart Systems for Monitoring of Solar Energy Production in Frontiers in Energy Research (Impact Factor: 4.008)
    • Techniques and Methods for Modelling and Forecasting: Applications to Energy Efficiency in Buildings, to Solar Energy, and to Air Quality in Frontiers in Built Environment
  • Peer Reviewer for leading journals:
    • Energy Storage Materials (IF: 17.789)
    • International Journal of Energy Research (IF: 5.164)
    • Energy Sources, Part A (IF: 1.184)
    • Frontiers in Energy Research (IF: 4.008)
  • Member of Scientific Committees for organizing academic conferences and workshops.

Dr. Zineb Bounoua is recognized for her work in bridging advanced machine learning models with practical applications in renewable energy, contributing to the optimization of solar energy production and management strategies.

Top Noted Publication:

Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations

  • Authors: Z. Bounoua, L. O. Chahidi, A. Mechaqrane
  • Journal: Sustainable Materials and Technologies (Volume 28, e00261)
  • Citations: 78
  • Year: 2021

New daily global solar irradiation estimation model based on automatic selection of input parameters using evolutionary artificial neural networks

  • Authors: M. Marzouq, Z. Bounoua, H. El Fadili, A. Mechaqrane, K. Zenkouar, et al.
  • Journal: Journal of Cleaner Production (Volume 209, Pages 1105-1118)
  • Citations: 49
  • Year: 2019

Hourly and sub-hourly ahead global horizontal solar irradiation forecasting via a novel deep learning approach: A case study

  • Authors: Z. Bounoua, A. Mechaqrane
  • Journal: Sustainable Materials and Technologies (Volume 36, e00599)
  • Citations: 13
  • Year: 2023

ANN-based modelling and prediction of daily global solar irradiation using commonly measured meteorological parameters

  • Authors: M. Marzouq, Z. Bounoua, A. Mechaqrane, H. El Fadili, Z. Lakhliai, K. Zenkouar
  • Journal: IOP Conference Series: Earth and Environmental Science (Volume 161, Issue 1, Article 012017)
  • Citations: 13
  • Year: 2018

Prediction of daily global horizontal solar irradiation using artificial neural networks and commonly measured meteorological parameters

  • Authors: Z. Bounoua, A. Mechaqrane
  • Journal: AIP Conference Proceedings (Volume 2056, Issue 1)
  • Citations: 7
  • Year: 2018

Conclusion:

Dr. Zineb Bounoua is a highly deserving candidate for the Best Researcher Award. Her pioneering work in solar radiation prediction using machine learning and deep learning, combined with her extensive academic experience, showcases her as a leader in the renewable energy research field. Her contributions to solar energy optimization have the potential to significantly impact the global transition toward sustainable energy solutions.

While there are opportunities for Dr. Bounoua to expand her collaborations and scale her research to a global level, her current research trajectory, leadership, and high-impact publications make her an outstanding candidate for this prestigious award. Her work stands at the intersection of innovation, sustainability, and energy, and she is poised to continue making meaningful contributions to the renewable energy sector.

 

 

Zineb Bounoua | Electrical Engineering and Energy | Best Researcher Award

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