Master’s degree graduate at Amirkabir University of Technology, Iran
Hossein Kiani is a motivated and technically adept researcher specializing in power systems engineering with a primary focus on renewable energy integration, power quality, and energy systems optimization. Throughout his academic and professional journey, he has demonstrated a strong commitment to developing efficient, sustainable, and economically viable energy solutions. His technical capabilities and leadership in both research and academic settings have positioned him as a promising contributor to the global energy transition.
Profile
Orcid
Education
Kiani pursued his Master of Science in Electrical Engineering with a concentration in Power Systems at Amirkabir University of Technology (Tehran Polytechnic), Iran, from 2021 to 2024. Prior to that, he earned his Bachelor of Science degree in Electrical Engineering from Zanjan University between 2014 and 2016. His graduate studies were characterized by a deep dive into hybrid energy systems, distributed energy resource planning, and power system market analysis, further enhanced by hands-on experience in laboratory environments and participation in energy-focused conferences.
Experience
Hossein has garnered diverse academic and practical experiences in the power and energy domain. He has served as a teaching assistant for core courses such as Power Quality, Electric Power Markets, Electric Machines I, and Electrical Energy Systems I at Amirkabir University. Additionally, he manages the Power Quality Lab at the same institution, where he works under the supervision of a full professor in electrical engineering. His professional contributions extend to multiple academic conferences, where he has played a key role as a reviewer and executive committee member. These engagements have honed his critical analysis, organizational, and peer collaboration skills, reinforcing his profile as both a researcher and educator in the power systems field.
Research Interest
His primary research interests lie in the modeling, design, and optimization of hybrid renewable energy systems; stochastic scheduling in distributed energy networks; frequency control in smart grids; and market-based analysis of renewable energy participation. Kiani focuses on integrating uncertainty analysis and demand-side management strategies to enhance the reliability and efficiency of electrical and thermal energy systems. His work often involves leveraging software tools such as MATLAB, HOMER Pro, GAMS, and DIgSILENT PowerFactory to simulate and optimize complex energy scenarios, bridging theoretical research with real-world application.
Award
Kiani’s contributions to the field have already been recognized with accolades, including the Best Paper Award at the 13th International Conference on Smart Grids (SGC) in 2023. This award reflects both the originality and the technical rigor of his research in the area of smart grids and hybrid energy solutions. His continuous involvement in high-level academic forums and multiple peer-review roles underscores the growing recognition of his work by the energy systems research community.
Publications
Among his notable scholarly contributions are seven key publications.
These include “Techno-economical Optimal Design of Hybrid Renewable Energy Resources Across Diverse Sites Based on Sensitivity Analysis,” published in AUT Journal of Electrical Engineering; “Optimal Sizing and Siting of Renewable Energy Sources in a ADN Using Meta-Heuristic Algorithms Considering Participation in Energy Market and Resources Uncertainty,” published in 2025 (IEEE), cited for its innovative approach to distributed energy planning; “Designing an Optimal Integrated Energy System Including Sustainable Resources for Real-Time Electrical and Thermal Loads Supplying, Considering Grid Interaction,” 2024 (IEEE); and “Evaluating the Non-participation Penalty in Renewable Energy Utilization to Supply a Portion of Electricity for Large Industries in Iran,” 2024 (IEEE).
Other significant works include “Comparison of Long-term Energy Demand Forecasting in Developing and Developed Countries Using Machine Learning-based Algorithms,” 2024 (IEEE); “A Novel Approach for Frequency Control in Smart Grids Utilizing Thermal Equipment for Emergency Situations,” 2023 (IEEE); and “Optimal Design and Economic Comparison of a Hybrid Energy System in Iran and Switzerland with Sensitivity Analysis,” 2023 (IEEE).
These publications have collectively garnered increasing citations and have contributed valuable insights to fields like energy system planning and uncertainty modeling.
Conclusion
In conclusion, Hossein Kiani’s academic rigor, technical proficiency, and dedication to sustainable energy solutions distinguish him as a valuable contributor to the electrical engineering community. His combination of hands-on laboratory work, active teaching roles, peer-reviewed publications, and recognition through awards exemplifies a well-rounded profile committed to excellence in power systems research. With his ongoing work on advanced topics such as virtual power plants, peer-to-peer energy trading, and demand response strategies, Kiani continues to push the boundaries of innovation in modern energy systems.