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

Dr. Emanuele Calabrò | Environmental Science | Best Researcher Award

Docente, MIUR (Ministero dell’Istruzione e del merito), Italy

Prof. Emanuele Calabrò, a distinguished physicist, currently serves as a Full Professor of Physics at the Technological Technical Institute of Messina “Verona-Trento” in Italy. With a career spanning over several decades, Prof. Calabrò has made significant contributions to various fields, including applied physics, experimental physics of matter, and biophysics. His expertise extends to areas such as electromagnetic fields pollution, biotechnology, solar energy, astronomy, and topography.

Education 🎓

Prof. Emanuele Calabrò obtained his Bachelor’s degrees in Physics and Engineering from the University of Messina in Italy, with exceptional final evaluations. He further pursued post-graduate training courses and a Master’s degree in the General Theory of Physical Sciences from the University “G. Marconi” in Rome, Italy.

Experience 💼

Throughout his career, Prof. Calabrò has held various academic positions, including teaching assistantships and professorships at esteemed institutions such as the University of Messina and the Technical Technological Institute in Siena, Italy. His teaching and research endeavors have spanned topics ranging from electrotechnics to biomedical physics and electronic measurements.

Research Interests 🔬

Prof. Calabrò’s research interests encompass a diverse range of areas, including man-made electromagnetic fields pollution, biophysics, the use of resonant frequencies for cancer treatment, solar energy optimization, astronomy, and topography. His pioneering work explores the effects of electromagnetic fields on organic systems, the alignment of proteins under electromagnetic fields, and the application of photogrammetry in evaluating structural decay.

Awards 🏆

Prof. Emanuele Calabrò has been recognized for his exemplary contributions to academia and research. He was the winner of the “Award for Excellence in Research” in the Academic Brand Awards-18 and has received certificates of recognition for his services as a reviewer for Bentham Science Publishers. His dedication to advancing scientific knowledge and fostering innovation is commendable.