Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

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Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

PhD student, Higher School of Science and Technology Hammem Sousse, Tunisia

Yasmine Gaaloul is a passionate and innovative Ph.D. student in Physical Engineering, specializing in Energy, based in Sahloul, Sousse, Tunisia. With a sharp focus on advanced energy systems and renewable energy technologies, she brings a solid academic foundation combined with hands-on experience in photovoltaic system diagnostics and energy efficiency. Her academic journey reflects a strong dedication to contributing meaningful solutions in the field of sustainable energy using cutting-edge artificial intelligence techniques. 🌱⚡

Publication Profile

Scopus

Summary of Suitability for Best Researcher Award – Ms. Yasmine Gaaloul

Yasmine Gaaloul is a dedicated and innovative PhD student with a strong specialization in renewable energy systems, particularly in fault diagnosis of photovoltaic (PV) systems in DC microgrids using artificial intelligence (AI). Her research is highly relevant to current global challenges in energy sustainability and smart grid technology.

🎓 Education Background

Yasmine pursued her Bachelor’s Degree in Physics (2017–2020) and then earned a Research Master’s Degree in Physics with an Energy Track from Hammem Sousse Higher School of Science and Technology (2020–2022). She is currently enrolled in a Ph.D. program in Physical Engineering at the same institution, where her research focuses on fault diagnosis in photovoltaic (PV) systems using AI tools. Her academic path shows consistent advancement in renewable energy domains. 🎓🔬📚

💼 Professional Experience

Yasmine has built practical experience through internships and projects focused on energy audits, policy compliance, project management, and the design and implementation of energy systems. Notably, she undertook an application internship in Nuclear Medicine at the Tunisian Hospital-University Center in Sousse. She also possesses strong technical skills in simulation and programming tools such as MATLAB, PVsyst, and BAO EVOLUTION, which enhance her applied research capabilities. 🏥💻🔧

🏆 Awards and Honors

While no formal awards are listed, her work speaks volumes through peer-reviewed publications and technical skills in diagnosing photovoltaic faults using AI — a field of growing significance. Her continued progress and engagement in advanced renewable technologies position her as a competitive researcher with promising prospects. 🥇📈

🔬 Research Focus

Yasmine’s core research revolves around the fault detection and diagnosis of PV systems in DC microgrids using artificial intelligence. She also works on simulation and modeling of energy systems, including photovoltaic modules and converters. Her use of machine learning algorithms like Random Forest and KNN for predictive maintenance of PV systems reflects a modern and sustainable approach to energy reliability and performance optimization. Her work aligns with critical global goals for clean and efficient energy. ⚙️🔋🌞

✅ Conclusion 

Given her specialized research in photovoltaic systems and renewable energy using artificial intelligence, Yasmine Gaaloul is a strong candidate for the Research for Best Researcher Award. Her interdisciplinary approach, combining physical engineering with AI, positions her at the forefront of sustainable energy innovation. Her academic trajectory, technical prowess, and publication record demonstrate exceptional promise and dedication. 🏅🌍💡

📚 Top Publications with Notes

Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models (2023)

This study explores hybrid AI techniques to enhance PV system monitoring. Cited by: X articles

Comparative Performance Analysis of Metaheuristic Optimization Algorithms for Parameter Identification of Photovoltaic Cell/Module (2023)

This comparative work evaluates algorithms for optimal PV module performance. Cited by: X articles

Modeling and Simulation of a Two-Phase Interleaved Boost Converter for Photovoltaic Applications (2022)

Focuses on the design of efficient converters for PV systems. Cited by: X articles

Ahmed H.Ibrahim | Green technology | Best Researcher Award

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Dr. Ahmed H.Ibrahim | Green technology | Best Researcher Award

Lecturer, Azhar university, Egypt

Ahmed Hamdy Ibrahim Kraiz is an accomplished professional in the field of Metallurgical Engineering, specializing in Mineral Processing and Extractive Metallurgy. Born on February 10, 1987, in Mansoura, Egypt, he holds a Ph.D. from Shandong University of Science and Technology, China (2023), where his research focused on “Extraction and Reaction Mechanism of Valuable Metals from Egyptian Boiler Ash.” With a strong foundation in metallurgy and a passion for advancing his knowledge, Ahmed has held several key roles, including Metallurgical Consultant at Capital Leading Company (CLC) and Assistant Lecturer at Al-Azhar University. His work spans various industrial sectors, including oil and gas, mining, and nuclear materials, and he has a rich history of training and certifications in areas like welding, risk assessment, and industrial safety. 💼🎓

Publication Profile

ORCID

Education:

Ahmed’s academic journey is marked by impressive achievements, beginning with his Bachelor’s degree in Metallurgical Engineering from Al-Azhar University (2009), where he graduated with high distinction. He further advanced his studies with a Master’s degree in Metallurgical Engineering (2016), specializing in the pre-treatment of low-grade uranium-bearing granites. His most recent achievement is a Ph.D. in Mineral Processing and Extractive Metallurgy from Shandong University, China, where his research contributed significantly to the understanding of metal extraction from industrial waste. 🎓📚

Experience:

With over a decade of professional experience, Ahmed has excelled in diverse roles in the metallurgical and petroleum engineering sectors. Since 2019, he has served as a Metallurgical Consultant at Capital Leading Company (CLC), advising on oil and gas projects in the West Nile Delta. He also worked as an Assistant Lecturer at Al-Azhar University, where he contributed to the development of future engineers in the Metallurgical and Petroleum Engineering Department. His prior roles include Workshop Coordinator at Petropower Egypt and Metallurgical Engineer at the Nuclear Material Authority, where he focused on uranium mining in Egypt’s Eastern Desert. 🛠️📊

Awards and Honors:

Ahmed’s dedication and expertise have been recognized throughout his career. He received a series of certifications and training accolades, including his SNT-TC-1A Level II certification and welding course from Mansoura University. He also earned recognition for his research on metallurgical engineering, with his work contributing to advancements in metal extraction technologies. 🏆🔬

Research Focus:

Ahmed’s primary research interests revolve around Mineral Processing and Extractive Metallurgy, with a specific focus on the extraction and reaction mechanisms of valuable metals from industrial waste, such as Egyptian boiler ash. His academic research also includes studying the pre-treatment of low-grade uranium-bearing granites for efficient leaching processes. These contributions aim to improve metal recovery techniques, particularly in challenging materials. 🧪🔍

Conclusion:

Ahmed Hamdy Ibrahim Kraiz is a highly skilled and dedicated professional in Metallurgical Engineering, bringing valuable expertise to both academic and industrial settings. With a passion for innovation and a strong foundation in metallurgy, he is well-positioned to continue contributing to the field of extractive metallurgy and mineral processing. His proven leadership, commitment to learning, and ability to collaborate across cultures make him an asset to any organization. 🌍🤝

Publications: