Mahmoud Zadehbagheri | EV Charging Infrastructure | Editorial Board Member

Assoc. Prof. Dr. Mahmoud Zadehbagheri | EV Charging Infrastructure | Editorial Board Member

Member of  Faculty | Islamic Azad University of Iran |  Iran

Assoc. Prof. Dr. Mahmoud Zadehbagheri is a distinguished researcher and academic professional with extensive contributions to electrical engineering, particularly in power electronics and modern power systems. His professional experience encompasses advanced research leadership, academic supervision, and international collaboration, with active involvement in high-impact journals and conferences. His research interests focus on renewable energy integration, distributed generation, microgrids, power quality enhancement, FACTS devices, optimization techniques, and smart energy systems. He demonstrates strong research skills in system modeling, optimization algorithms, power system analysis, simulation, and applied engineering solutions. His scholarly output and service have earned multiple academic recognitions and honors for research excellence and leadership. Overall, his work significantly advances sustainable energy technologies and intelligent power system development at both theoretical and applied levels.He has acheived 705 Citations, 58 Documents,16 h-index.

 

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705
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Featured Publications

Feng Wang | EV Charging Infrastructure | Best Researcher Award

Dr. Feng Wang | EV Charging Infrastructure | Best Researcher Award

Associate Professor  |  Fujian University of Technology |  China

Dr. Feng Wang is a distinguished academic and researcher recognized for his significant contributions to the fields of computer cryptography, network security, and applied mathematics. Currently serving as an Associate Professor at the College of Computer Science and Mathematics, Fujian University of Technology, he has established himself as a prominent figure in the development of secure computational frameworks and innovative cryptographic algorithms. His extensive professional experience spans teaching, research, and collaborative projects that integrate theoretical mathematics with practical applications in cybersecurity. Dr. Wang’s research focuses on computer cryptography, data privacy, and secure communication protocols within distributed and cloud-based computing environments. His scholarly work demonstrates a strong command of mathematical modeling, algorithm design, and encryption mechanisms, enabling the advancement of secure data transmission and protection techniques. He is particularly skilled in areas such as network information assurance, data encryption standards, and privacy-preserving computation, which are essential for modern information systems. Over the years, he has guided numerous students and contributed to academic excellence through publications, peer reviews, and conference participation. Dr. Wang’s dedication to advancing research in computer and network security has earned him recognition within the academic community. His research output continues to influence emerging developments in cybersecurity and applied cryptography, providing a foundation for next-generation secure computing technologies. His work reflects a balance of theoretical insight and practical relevance, aligning with the evolving challenges of global information security. Feng Wang remains committed to fostering academic innovation and interdisciplinary collaboration that bridges mathematics, computer science, and information technology. He has achieved 226 Citations , 34 Documents ,9 h-index.

Profile:  Scopus

Featured Publications

  1. Huang, Z., Wang, F., Chen, X., & Chang, C.-C. (2025). Revisiting “online/offline provable data possession” schemes. Computer Standards & Interfaces.
    Citations: 2

  2. Huang, Z., Wang, F., Chen, X., & Chang, C.-C. (2025). Reversible data hiding with secret encrypted image sharing and adaptive coding. IEEE Internet of Things Journal.
    Citations: 1

  3. Huang, Z., Wang, F., Chen, X., & Chang, C.-C. (2024). Efficient blockchain-based data aggregation scheme with privacy-preserving on the smart grid. IEEE Transactions on Smart Grid.