Dr. Amirhossein Bolurian| Energy and Utilities Analytics | Best Researcher Award
Islamic Azad University of Yazd, Iran
Author Profile
Early Academic Pursuits 🎓
Dr. Amirhossein Bolurian’s academic journey began with a strong foundation in Electrical Engineering, specifically in Power Systems. His undergraduate studies at Islamic Azad University of Tabas were marked by an impressive GPA of 19.59/20, where he focused on “Reactive Power Control of a Microgrid in the Presence of Distributed Generation Sources.” This was followed by a Master’s degree at Islamic Azad University of Yazd, where his thesis explored the “Effect of Internal Impedance of Synchronous Generators on Voltage Stability,” furthering his expertise in power system dynamics and stability.
His pursuit of knowledge culminated in a Ph.D. from Islamic Azad University of Yazd, where he excelled with a GPA of 17.57/20. His doctoral thesis, “Energy Management in the Microgrid with Considering Load Response in the Presence of Distributed Energy Sources in the Internet of Things Platform,” provided innovative solutions for optimizing energy management in the evolving context of smart grids and microgrids. This research not only contributed to the academic community but also demonstrated his deep engagement with emerging technologies like IoT in energy systems.
Professional Endeavors 💼
Dr. Bolurian’s professional career spans both academic and industry-related contributions. He currently serves as an assistant professor at Islamic Azad University of Tabas, where he imparts his extensive knowledge in power systems and energy management. Additionally, he contributed to the academic sphere at the Islamic Azad University in Tehran Medical Sciences as an assistant professor, where he leveraged his research in power systems to address real-world applications. His expertise in smart grids, microgrids, and energy optimization techniques has positioned him as a leading educator in these cutting-edge areas.
His research also bridges the gap between academia and industry, as evidenced by his involvement in reviewing numerous ISI journals and participating in national conferences. Dr. Bolurian’s professional pursuits showcase his commitment to both teaching and furthering practical solutions for energy challenges in today’s interconnected world.
Contributions and Research Focus 🔬
Dr. Bolurian’s research focuses on the optimization of energy systems, particularly in microgrids, smart grids, and renewable energy integration. He has made significant contributions to the development of energy management systems that incorporate demand response programs and distributed generation sources, often through the innovative use of platforms such as the Internet of Things (IoT). His work on the “Bi-level Energy Management Model for Smart Grids” and the optimization of microgrids under uncertainty has received widespread recognition in top-tier journals, including Elsevier Sustainable Cities and Society and Electric Power Systems Research.
Furthermore, Dr. Bolurian has explored key areas like the dynamics and control methodologies for energy systems, energy market modeling, and optimization in the IoT platform. His diverse research interests align with global efforts to enhance energy efficiency, improve power grid reliability, and develop sustainable energy solutions. Through these contributions, he has positioned himself as a key researcher in the optimization and management of energy systems.
Impact and Influence 🌍
Dr. Bolurian’s work has had a significant impact on both the academic and practical aspects of energy systems. His published research papers, such as “Energy Management in Microgrids Considering Demand Response,” contribute to the ongoing transformation of smart grids and energy management systems. These papers, published in high-ranking journals with substantial impact factors, reflect his influence in advancing energy solutions that integrate renewable energy sources and IoT technologies.
His contributions extend beyond the written word, as he has shared his expertise with industry professionals and policy makers, advocating for the use of demand-side management and the efficient operation of microgrids. With an h-index of 3 and more than 70 citations since 2022, Dr. Bolurian’s research has clearly resonated within the scientific community, solidifying his role as a leading figure in energy systems optimization.
Academic Cites and Recognition 📚
Dr. Bolurian’s research has gained considerable recognition through citations in prestigious journals and conferences. His works on energy management, smart grids, and the role of IoT in optimizing energy use have earned him an h-index of 3, with over 70 citations. This reflects the relevance and application of his research in solving modern energy challenges, positioning him as a thought leader in his field. As a reviewer for high-impact journals such as Electric Power Components and Systems and IET Generation, Transmission & Distribution, his academic influence continues to grow, enhancing the quality and rigor of research in electrical engineering.
Technical Skills and Expertise 💻
Dr. Bolurian possesses a diverse and advanced skill set, including proficiency in programming and engineering software. His technical expertise spans across MATLAB, Simulink, Python, and other specialized tools like DIgSILENT, GAMS, and HOMER Pro. These skills are essential for modeling, simulating, and optimizing complex energy systems. His ability to apply these tools to real-world energy problems, such as optimizing microgrid operation and integrating renewable energy, underscores his technical acumen. Additionally, his experience with non-engineering software like Microsoft Office and Adobe Suite enhances his ability to communicate complex ideas effectively, both in academic publications and presentations.
Teaching Experience 👩🏫
Dr. Bolurian’s teaching experience is marked by a strong commitment to educating the next generation of electrical engineers. He has served as an assistant professor at Islamic Azad University of Tabas and Tehran Medical Sciences, teaching courses in power systems, renewable energy, and energy management. Through his teaching, he fosters critical thinking and technical problem-solving skills, while also introducing students to cutting-edge topics such as smart grids, microgrids, and IoT applications in energy systems.
His dedication to teaching is matched by his mentoring of undergraduate and graduate students, guiding them through complex research topics and encouraging them to explore innovative solutions to global energy challenges.
Legacy and Future Contributions 🔮
Dr. Bolurian’s work in energy systems optimization, smart grids, and microgrid management has already made a lasting impact on the field. His ongoing research continues to push boundaries, particularly in the areas of energy efficiency, demand response, and renewable energy integration. With upcoming projects focused on electric vehicle parking lots (EVPL) and vehicle-to-grid (V2G) technologies, Dr. Bolurian is poised to contribute further to the development of sustainable, smart energy solutions.
Top Noted Publications 📖
Article Title: Optimal energy management for electric vehicle charging parking lots with considering renewable energy resources and accurate battery characteristic modeling
Authors: Kioumarsi, K., Bolurian, A.
Journal: Journal of Energy Storage
Year: 2025
Article Title: Bi-level energy management model for the smart grid considering customer behavior in the wireless sensor network platform
Authors: Bolurian, A., Akbari, H., Mousavi, S., Aslinezhad, M.
Journal: Sustainable Cities and Society
Year: 2023
Article Title: Day-ahead optimal scheduling of microgrid with considering demand side management under uncertainty
Authors: Bolurian, A., Akbari, H., Mousavi, S.
Journal: Electric Power Systems Research
Year: 2022
Article Title: Energy management in microgrids considering the demand response in the presence of distributed generation resources on the IoT platform
Authors: Bolurian, A., Akbari, H., Daemi, T., Mirjalily, S.A.A., Mousavi, S.
Journal: Energy Sources, Part B: Economics, Planning and Policy
Year: 2022