Assist Prof Dr. Rahim Zahedi, University of Tehran, Iran
Dr. Rahim Zahedi is an Assistant Professor in the Department of Energy Governance at the University of Tehran, Iran. Born on February 29, 1996, he is an accomplished researcher with a strong foundation in mechanical and energy systems engineering. With over 120 ISI-indexed publications to his name, Dr. Zahedi is widely recognized for his work in energy modeling, environmental sustainability, and renewable energy systems. He has been named among the world’s top 2% scientists by Stanford University since 2023. His exceptional academic achievements include earning first rank nationally in Iran’s PhD entrance exam for energy systems engineering and receiving prestigious awards like the JTACC-V4 Young Scientist Award and the Alborz Prizeโoften referred to as Iranโs Nobel Prize.
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๐ Education
Dr. Zahedi holds a PhD in Energy Systems Engineering (2020โ2024) from the University of Tehran, where he graduated with a perfect GPA (4.0/4.0) and completed a dissertation focused on the 4E analysis of a sustainable hybrid system for optimized water, energy, food, and environmental nexus. Prior to that, he earned both his MSc (2018โ2020) and BSc (2014โ2018) in Energy Systems and Mechanical Engineering from Iran University of Science and Technology. He is currently undertaking a postdoctoral fellowship (2024โ2025) at the same institution, focusing on thermal storage systems and thermoeconomic analysis of solar-driven ORC cycles using phase change materials.
๐งช Experience
Dr. Zahedi has served in academia and research with a primary focus on energy governance, energy modeling, and policy analysis. His experience includes supervising and collaborating on cutting-edge projects in energy system optimization, carbon capture, and climate-responsive technologies. He has contributed to national-scale industrial projects and has been recognized for excellence in petroleum engineering and renewable energy innovation. His multi-disciplinary expertise allows him to bridge the gap between theoretical modeling and practical implementation in the energy sector.
๐ฌ Research Interests
Dr. Zahedi’s research interests span a range of high-impact topics in energy and environment, including renewable energy ๐ฑ, life cycle assessment (LCA) โป๏ธ, energy optimization โก, and building energy modeling (BEM) ๐๏ธ. He is particularly passionate about integrating AI and machine learning into sustainable energy planning and has conducted extensive work in the simulation and optimization of hybrid energy systems and climate-resilient infrastructure.
๐ Awards
Dr. Zahedi has received numerous awards for his outstanding research contributions. These include the 2023 JTACC-V4 Young Scientist Award for excellence in thermal sciences, the National Renewable Energy Award, and a Certificate of Appreciation for his contributions to petroleum engineering. Notably, he was awarded the 2024 Alborz Prize, Iranโs equivalent of the Nobel Prize, in recognition of being the best young scientist in the country. He also achieved the first rank for the best industrial plan at a national oil and gas innovation event.
๐ Publication Top Notes
Artificial intelligence and machine learning in energy systems: A bibliographic perspective
Machine learning and deep learning in energy systems: A review
The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines
Strategic study for renewable energy policy, optimizations and sustainability in Iran
Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of quadruple combined solar, biogas, SRC and ORC cycles with methane system
Optimal site selection and sizing of solar EV charge stations
Cleaning of floating photovoltaic systems: A critical review on approaches from technical and economic perspectives
Review on the direct air CO2 capture by microalgae: Bibliographic mapping
Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning
Numerical and experimental simulation of gas-liquid two-phase flow in 90-degree elbow