Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

Mr. Mohammad Alibabaei Shahraki | Technical and Vocational University | Iran

Mr. Mohammad Alibabaei Shahraki is a distinguished lecturer and researcher at the Technical and Vocational University in Tehran, Iran, specializing in civil engineering with a focus on earthquake engineering, structural dynamics, and structural design. Recognized for his exceptional academic achievements, he was the top student for 12 consecutive semesters and secured a single-digit rank in the national university entrance examination. His research excellence has been acknowledged with the title of Best Researcher in Chaharmahal and Bakhtiari Province, alongside the invention of two notable research innovations. Prof. Shahraki has made significant contributions to the field of structural control and seismic performance enhancement, including pioneering studies on multiple tuned mass dampers, elastoplastic-tuned mass damper-inerters, and the effectiveness of viscous dampers in steel frame structures, with his work published in prominent journals such as Soil Dynamics and Earthquake Engineering and Structures, and presented at international conferences on civil engineering, architecture, and urban planning. With a perfect GPA of 4.00 from Shahrekord University for his Master’s in Civil Engineering, he combines academic rigor with practical expertise, delivering high-quality teaching and research. His scholarly impact includes 60 citations across 44 documents, 4 published works, and an h-index of 2, reflecting his growing influence in earthquake-resistant structural design. Fluent in English, Prof. Shahraki actively engages with global research communities and maintains an ORCID profile to showcase his contributions.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Damage-based design of multiple tuned mass dampers to improve the seismic performance of steel frame structures. Soil Dynamics and Earthquake Engineering, 173, 108062.

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Assessing the seismic behavior of structures controlled with a novel elastoplastic-tuned mass damper inerter considering the effects of soil-structure interactions. Structures, 57, 105265.

Shahraki, M. A., & Chaleshtori, H. S. A. (2025). Comparative analysis of novel non-linear tuned mass damper inerter and traditional tuned mass dampers in steel shear frame structures. International Journal of Structural Stability and Dynamics.

Shahraki, M. A. (2025). Response mitigations of adjacent structure with MPTMD under real and stochastic excitations. Discover Geoscience, 3(47), 1-20.

Alibabaei Shahraki, M. (2025). Cloud drift optimization algorithm as a nature-inspired metaheuristic. Discover Computing, 28(1), 1-28.

 

Dr. Iman Soltani | Green Technologies | Best Researcher Award

Dr. Iman Soltani | Green Technologies | Best Researcher Award

Dr. Iman Soltani | Imam Khomeini International University | Iran

Dr. Iman Soltani is a distinguished researcher in Electrical Engineering with expertise in renewable energy, power electronics, and electric vehicle technologies. He holds a doctorate in Power Engineering from Malek Ashtar University of Technology, preceded by a master’s degree from Imam Khomeini International University and a bachelor’s degree in Robotic Engineering from Shahrood University of Technology. His research encompasses energy management, storage systems, electrical machines, and advanced control algorithms. With a focus on battery charging systems and the optimization of power inductors, Dr. Soltani combines academic excellence with practical innovation, driving forward advancements in sustainable and efficient energy solutions.

Professional Profile

Google Scholar | Scopus

Education and Experience

Dr. Soltani earned his doctorate in Electrical Engineering with a focus on the analysis and optimization of variable power inductors in radio frequency applications. His master’s research explored intelligent methods for maximum power point tracking in solar arrays under diverse conditions. His bachelor’s work centered on designing and controlling multi-degree-of-freedom robotic systems. Throughout his academic journey, he has developed strong expertise in renewable energy, energy storage, control systems, and power electronics. His professional experience integrates theoretical research with hands-on engineering applications, enabling him to contribute innovative and impactful solutions to modern energy and automation challenges.

Summary Suitability

Dr. Iman Soltani stands out as an exceptional candidate for the Best Researcher Award in the field of Electrical Engineering, with specialized expertise in renewable energy systems, power electronics, and advanced control methodologies. His academic journey spans a doctorate in Power Engineering, a master’s degree in the same discipline, and a bachelor’s in Robotic Engineering, each marked by exceptional academic performance and impactful research.

Professional Development

Dr. Soltani has advanced his professional capabilities through extensive research, collaborative projects, and continuous engagement with emerging technologies. His expertise includes renewable energy integration, electric mobility solutions, and intelligent control systems. He has worked extensively on energy storage technologies, advanced battery charging methods, and energy management strategies. His professional growth is marked by interdisciplinary collaboration, knowledge exchange, and the application of innovative engineering principles to real-world problems. Dedicated to staying at the forefront of technological advancements, he continually enhances his skills, ensuring his contributions align with the evolving needs of sustainable power systems and advanced electrical engineering solutions.

Research Focus

Dr. Soltani’s research focus lies in the area of electrical power and renewable energy systems, closely linked with power electronics and advanced control. He investigates the integration of renewable sources into the power grid, efficient storage systems, and smart charging technologies for electric vehicles. His work includes developing algorithms for energy optimization, improving battery performance, and enhancing the efficiency of electrical machines and drives. Additionally, he explores the behavior and optimization of power inductors in high-frequency applications. His research bridges the gap between theory and application, contributing to the creation of sustainable, reliable, and efficient modern energy systems.

Awards and Honors

Dr. Soltani has been recognized for his exceptional academic performance and innovative research contributions. His work has earned commendations from academic institutions for its originality, technical depth, and practical value in the field of renewable energy and power engineering. He has consistently maintained a record of excellence throughout his educational and professional journey, demonstrating leadership in research and a commitment to advancing sustainable technologies. His achievements reflect both intellectual rigor and a dedication to developing solutions that address the pressing challenges in energy systems and electrical engineering.

Publication Top Notes

Title: An intelligent, fast and robust maximum power point tracking for proton exchange membrane fuel cell
Year: 2013
Citation: 30

Title: A detailed comparison between FOC and DTC methods of a permanent magnet synchronous motor drive
Year: 2015
Citation: 28

Title: Optimal placement of STATCOM to voltage stability improvement and reduce power losses by using QPSO algorithm
Year: 2013
Citation: 26

Title: Eagle strategy based maximum power point tracker for fuel cell system
Year: 2015
Citation: 19

Title: Various types of particle swarm optimization-based methods for harmonic reduction of cascade multilevel inverters for renewable energy sources
Year: 2013
Citation: 14

Title: A new sliding mode controller for DC/DC converters in photovoltaic systems
Year: 2013
Citation: 14

Title: Comparative of islanding detection passive methods for distributed generation application
Year: 2014
Citation: 11

Conclusion

With a proven record of high-impact publications, interdisciplinary innovation, and the ability to translate complex engineering concepts into practical solutions, Dr. Soltani exemplifies the qualities of a world-class researcher. His dedication to advancing clean energy technologies and his consistent scholarly excellence make him a highly deserving recipient of the Best Researcher Award.