Mahdi Gandomzadeh | Renewable Energy | Young Scientist Award

Published on by Academic Awards

Mr. Mahdi Gandomzadeh | Renewable Energy | Young Scientist Award

Mr. Mahdi Gandomzadeh at Shahid Behshti University, Iran

Mahdi Gandomzadeh is a dedicated Renewable Energy Engineer specializing in solar photovoltaics, hybrid systems, and power grid optimization. With a strong background in electrical engineering, he has contributed significantly to research, innovation, and academia. His work focuses on enhancing solar energy efficiency, mitigating dust impact, and advancing intelligent maintenance strategies. As a research assistant, he collaborates on various projects to improve energy sustainability. A recipient of prestigious awards, he actively engages in academic mentorship, startups, and technical advancements. His expertise extends to modeling, simulation, and energy storage systems, making him a promising researcher in renewable energy.

Publication Profile

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Educational Background🎓

Mahdi Gandomzadeh is pursuing a Ph.D. in Renewable Energy Engineering (2022-2026) at Shahid Beheshti University, Tehran, with a focus on solar photovoltaic system performance. He completed his M.Sc. in Renewable Energy Engineering (2017-2020) from the same university, where he researched uncertainty modeling in Iran’s power grid. His B.Sc. in Electrical Engineering – Power (2013-2017) was from Ferdowsi University, Mashhad, where he evaluated power factor and voltage stability in coal industries. His strong academic foundation has paved the way for groundbreaking research in renewable energy systems and grid integration.

Professional Background🏆

Mahdi has gained diverse research and industry experience. Since 2017, he has been an Electrical & Energy Engineer at Shahid Beheshti Renewable Energies Engineering Labs. He has worked as a Research Assistant in Solar Photovoltaic and Solar Thermal Teams, contributing to advanced solar energy solutions. His industrial expertise includes being a Hybrid Energy Systems Expert at Tehran’s Municipality (2018) and a Senior Researcher at Tabas Parvadeh Coal Company (2016-2017). Additionally, he has been an educational assistant in various electrical and renewable energy courses, shaping the next generation of energy engineers.

Awards and Honors🏅

Mahdi has received prestigious recognitions for his contributions to renewable energy. In 2024, he won the Best Student Award from the National Foundation of Iranian Elites. His innovative work placed him among the top ten teams in the Smart City Start-up Weekend by Tehran’s Municipality (2018). He also secured first place in the 9th Start-up Trigger at Sharif University of Technology (2018) in the energy sector. These accolades highlight his dedication, leadership, and impactful contributions to renewable energy research, innovation, and technology advancement.

Research Focus🔬

Mahdi’s research revolves around solar energy optimization, hybrid power systems, and grid integration. He specializes in solar photovoltaic efficiency, focusing on dust mitigation, uncertainty modeling, and intelligent cleaning strategies. His work includes machine learning applications in solar forecasting, energy storage solutions, and smart grid advancements. He has published numerous peer-reviewed papers on solar panel maintenance, energy management, and multi-criteria decision-making strategies. His contributions aim to improve renewable energy sustainability by addressing environmental challenges and enhancing energy reliability in distributed and grid-connected systems.

Publication Top Notes

1️⃣ Enhancing Photovoltaic Efficiency: An In-depth Systematic Review and Critical Analysis of Dust Monitoring, Mitigation, and Cleaning Techniques 📖
Year: 2025 | Journal: Applied Energy 388, 125668

2️⃣ Dust Mitigation Methods and Multi-Criteria Decision-Making Cleaning Strategies for Photovoltaic Systems: Advances, Challenges, and Future Directions 🌞
Year: 2025  | Journal: Energy Strategy Reviews 57, 101629

3️⃣ Revolutionizing Solar Panel Maintenance in Photovoltaic Systems: Reviewing Intelligent UAV Solutions for Efficient Dust Mitigation and Perspectives 🚁
Year: 2024

4️⃣ Harnessing Machine Learning with Advanced Linear Regression Models to Forecast PV System 🤖
Year: 2024

Conclusion

Mahdi Gandomzadeh is a distinguished young researcher in renewable energy, specializing in solar photovoltaic efficiency, dust mitigation, and hybrid energy systems. With a Ph.D. in Renewable Energy Engineering and multiple high-impact publications in journals like Applied Energy and Energy Strategy Reviews, his work contributes significantly to advancing solar energy technologies. His expertise spans grid integration, uncertainty modeling, and advanced simulation tools. Recognized with the Best Student Award by the National Foundation of Iranian Elites (2024), he has also excelled in academic teaching and innovation. His achievements make him a strong candidate for the Research for Young Scientist Award.

 

Samia Moulebhar | Energy Award | Best Researcher Award

Published on by Academic Awards

Ms. Samia Moulebhar | Energy Award | Best Researcher Award

Ms. Samia Moulebhar, universite mostaganem, Algeria

Ms. Samia Moulebhar is a dedicated researcher and PhD candidate in Embedded Electronic Systems at Université Mostaganem (2023). With a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent, her work focuses on applying artificial intelligence to diagnostics and renewable energy solutions. Samia has presented at international conferences on the performance of organic solar cells and has contributed significantly to publications in advanced solar technology, including a paper on optimizing solar cell efficiency using multiobjective genetic algorithms. Proficient in tools like Matlab, SCAPS-1D, and Proteus, Samia also lectures in electronics and physics. 💻📈

 

Publication Profile

Orcid

Academic Background 

Ms. Samia Moulebhar is currently pursuing a PhD in embedded electronic systems (2023) and holds a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent (2022). Her Bachelor’s in Electrical Engineering focused on electronics, and she has also earned a BTS in database informatics. Proficient in tools such as Matlab, SCAPS-1D, Proteus, and Arduino, she demonstrates strong technical capabilities essential for advanced research in electronics and renewable energy systems.

Research Contributions

Ms. Moulebhar has a solid record of research publications, particularly in the field of organic solar cell technology. She has presented at multiple notable conferences, such as the First National Conference on Material Sciences and Renewable Energy, where she discussed improvements in organic solar cell efficiency, and at the International Conference on Renewable Energies and Power Systems (ICREPS 2024). Her presentation on absorber layer effects in organic solar cells at the Workshop on Sustainability and Advanced Technologies is a testament to her commitment to advancing sustainable energy solutions.

Research Focus

Her published work includes an influential paper on optimizing organic solar cells using hybrid approaches, incorporating NSGA-II, SCAPS-1D simulation, and response surface methodology. This research, featured in physica status solidi (a), showcases her focus on cutting-edge optimization techniques, addressing both performance and efficiency in solar technology.

Professional Experience

With teaching experience at Université Belhadj Bouchaib and roles in instrumentation and computer services, Ms. Moulebhar combines academic research with practical application. This background enhances her capability to bridge theoretical knowledge with real-world applications, particularly in the sustainable energy sector.

Conclusion

Ms. Samia Moulebhar is a promising candidate for the Best Researcher Award due to her focused research on organic solar cell technologies, extensive conference participation, and a track record of published research. Her technical expertise and ongoing contributions to renewable energy systems demonstrate her potential as an innovative researcher in the field of electronics and sustainable technologies.

 

Publication Top Notes

Hybrid Optimization Approach Using Multiobjective Genetic Algorithm NSGA‐II, SCAPS‐1D Simulation, and Response Surface Methodology for Organic Solar Cell Analysis