Lyudmila Krasteva | Materials Science and Environmental Chemistry | Innovative Research Award Published on 10/02/2026 by Invention Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 26024 Register Here
Oussama Khouili | Energy | Excellence in Research Award Published on 06/02/202606/02/2026 by Invention Awards Mr. Oussama Khouili | Energy | Excellence in Research Award National School of Scientific Applications, Morocco Mr. Oussama Khouili is a PhD student at ENSA El Jadida, Chouaib Doukkali University, specializing in the integration of Artificial Intelligence and Renewable Energy with a focus on solar irradiance forecasting and photovoltaic system optimization. His research develops advanced Machine Learning and Deep Learning models, including ShuffleNet, CNNs, physics-guided networks, PCA-based transformations, FFT techniques, and metaheuristic optimization algorithms such as Particle Swarm Optimization. He has completed and is leading multiple projects on solar prediction accuracy, feature selection methods, smart grid technologies, and AI-driven renewable energy solutions. He has authored peer-reviewed articles in prestigious SCI and Scopus-indexed journals including Energy Strategy Reviews, International Journal of Energy Research, and IEEE Power Electronics Magazine, with 29 citations and an h-index of 2. He has also published four ISBN-indexed book chapters on AI applications in renewable energy and environmental management systems such as ISO 14001. Recognized with a Research Excellence Award, he actively contributes as an independent reviewer and collaborates internationally to bridge advanced computational intelligence with sustainable energy solutions addressing global climate challenges. Citation Metrics (Scopus) 25 20 15 10 5 0 Citations 23 Documents 9 h-index 2 Citations Documents h-index View Scopus Profile Featured Publications Performance Evaluation of an Improved Particle Swarm Optimization Algorithm Against Nature-Inspired Methods for Photovoltaic Parameter – Conference Paper, 2026 Evaluation the Effectiveness of Pearson Correlation in the Context of Solar Yield Prediction Through Artificial Neural Networks – Book Chapter, 2025 Improving the Environmental Performance of Construction Industries and Sites Using an Environmental Management System ISO 14001: An Overview – Springer Proceedings in Physics, 2025 Solar Radiation Prediction Using Support Vector Machines with Spearman Correlation Feature Selection – Springer Proceedings in Physics, 2025 Solar Yield Prediction Through Feedforward Neural Networks – Book Chapter, 2025
Mr. Oussama Khouili | Energy | Excellence in Research Award National School of Scientific Applications, Morocco Mr. Oussama Khouili is a PhD student at ENSA El Jadida, Chouaib Doukkali University, specializing in the integration of Artificial Intelligence and Renewable Energy with a focus on solar irradiance forecasting and photovoltaic system optimization. His research develops advanced Machine Learning and Deep Learning models, including ShuffleNet, CNNs, physics-guided networks, PCA-based transformations, FFT techniques, and metaheuristic optimization algorithms such as Particle Swarm Optimization. He has completed and is leading multiple projects on solar prediction accuracy, feature selection methods, smart grid technologies, and AI-driven renewable energy solutions. He has authored peer-reviewed articles in prestigious SCI and Scopus-indexed journals including Energy Strategy Reviews, International Journal of Energy Research, and IEEE Power Electronics Magazine, with 29 citations and an h-index of 2. He has also published four ISBN-indexed book chapters on AI applications in renewable energy and environmental management systems such as ISO 14001. Recognized with a Research Excellence Award, he actively contributes as an independent reviewer and collaborates internationally to bridge advanced computational intelligence with sustainable energy solutions addressing global climate challenges.