Lyes Saad Saoud
artificial intelligence and renewable enrgies artificial intelligence renewable energy Solar Radiation and Photovoltaics Time Series Analysis and Forecasting Signal Processing

Bio

Lyes Saad Saoud is an Associate Professor Doctor at the University Mohamed Bougara Boumerdès in Algeria. His research focuses on artificial intelligence and renewable energies, with notable works including 'Fully Complex Valued Wavelet Network for Forecasting the Global Solar Irradiation' and 'Cognitive Quaternion Valued Neural Network and some applications'. With 61 publications, 829 citations, an h-index of 15, and an i10-index of 18, he has made significant contributions to his field. He serves as an editor and has reviewed over 15 papers, while supervising 7 scholars and participating in 2 research projects.

Educational Journey

Associate Professor Doctor

Experience

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Editors Role

Editor

GJCST

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Research

No publications found.