🎓 Education 

Mahdi Gandomzadeh is pursuing a Ph.D. in Renewable Energies Engineering at Shahid Beheshti University, Tehran (2022-2026), focusing on the interaction effects of environmental parameters on solar PV performance. He earned his M.Sc. in Renewable Energies Engineering (2017-2020) from the same university, researching uncertainty modeling in Iran’s power grid with distributed generation and microgrids. His B.Sc. in Electrical Engineering – Power (2013-2017) from Ferdowsi University of Mashhad involved technical evaluation of power factor and voltage stability in industrial settings. His academic journey has been marked by a deep commitment to sustainable energy solutions, blending theoretical research with hands-on projects in energy management, hybrid systems, and power optimization. Through rigorous coursework and research, he has developed expertise in photovoltaic system efficiency, smart grid technologies, and renewable energy integration. His education has laid a solid foundation for his contributions to sustainable power generation and advanced renewable energy technologies.

💼 Experience 

Mahdi Gandomzadeh has amassed extensive experience in renewable energy and electrical engineering. He began his career as a trainee and senior researcher at Tabas Parvadeh Coal Company (2016-2017), analyzing power stability. In 2018, he worked as a Hybrid Energy Systems Expert for Tehran’s Municipality at Gisha Bridge. Since 2017, he has served as an Electrical and Energy Engineer at Shahid Beheshti University’s Renewable Energies Engineering Labs and as a Research Assistant in Solar Photovoltaic and Solar Thermal Teams under Dr. Zandi. As an educational assistant, he has taught undergraduate and graduate courses in electrical engineering, renewable energy, and energy systems design at Ferdowsi University of Mashhad and Shahid Beheshti University. His expertise includes energy management, hybrid power systems, and photovoltaic grid integration. With a strong research background, Mahdi continues to contribute to cutting-edge solar energy advancements and innovative renewable energy solutions.

🏆 Awards & Honors 

Mahdi Gandomzadeh has received numerous accolades for his contributions to renewable energy research. In 2024, he won the prestigious Best Student Award from the National Foundation of Iranian Elites, recognizing his outstanding academic and research achievements. In 2018, he was a member of the top ten teams in the Smart City Start-up Weekend organized by Tehran’s Municipality. The same year, he secured first place in the 9th Start-up Trigger event at Sharif University of Technology in the energy field, highlighting his innovative approach to sustainable energy solutions. His recognition extends beyond competitions, as he has actively contributed to high-impact research on solar photovoltaic systems, earning citations and invitations to international conferences. His expertise in hybrid energy systems, grid integration, and energy management has positioned him as a leading researcher in renewable energy, further solidifying his reputation through prestigious awards and honors.

🔬 Research Focus 

Mahdi Gandomzadeh’s research focuses on optimizing renewable energy systems, particularly solar photovoltaic efficiency. His Ph.D. work explores the interaction effects of environmental parameters on PV performance, integrating experimental analysis with machine learning models. His research extends to uncertainty modeling in distributed generation and microgrids, enhancing the stability and reliability of Iran’s power grid. He is also actively involved in smart grid technologies, energy storage solutions, and hybrid renewable systems. His work on dust mitigation and cleaning techniques for solar panels has received significant attention, addressing a critical challenge in PV efficiency. Mahdi’s publications explore machine learning applications for PV forecasting, optimization of energy storage, and decision-making strategies for grid-connected systems. His interdisciplinary approach combines electrical engineering, data science, and sustainability, aiming to advance renewable energy adoption and improve energy resilience. His contributions are pivotal in shaping the future of sustainable power generation and smart energy systems.