Feng Wang | EV Charging Infrastructure | Best Researcher Award

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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.

Kristaq Hazizi | Automotive Engineering | Best Researcher Award

Posted on by Automobile Award

Dr. Kristaq Hazizi | Automotive Engineering | Best Researcher Award

Lecturer in Mechanical and Automotive Engineering  | Coventry University | United Kingdom

Dr. Kristaq Hazizi is a Lecturer in Mechanical and Automotive Engineering at Coventry University, with over 15 years of combined academic and industry experience dedicated to advancing sustainable automotive technologies. He earned his Ph.D. in Automotive Engineering from Coventry University in 2013, where his doctoral research centered on advanced engine simulation and alternative fuels to enhance efficiency and reduce emissions. Professionally, Dr. Hazizi has contributed to both academia and industry by leading research projects on engine modeling, combustion optimization, and the integration of renewable fuels into modern powertrain systems. His research interests lie in engine simulation, hybrid propulsion systems, and low-carbon transportation, areas that align with global efforts to achieve cleaner and more efficient mobility solutions. His research skills include advanced numerical modeling, computational fluid dynamics (CFD), thermodynamic analysis, and applied experimental testing for engine performance evaluation. Dr. Hazizi has successfully secured competitive research funding and has collaborated with international teams to promote sustainable energy solutions. His publications appear in reputed IEEE and Scopus-indexed journals and conference proceedings, reflecting a growing influence in the automotive engineering field. In addition to research, he is an active mentor to students, guiding projects and theses in sustainable mobility, and has contributed to professional communities as a member of IEEE and SAE. Dr. Hazizi has received recognition for his academic excellence and contributions to advancing green automotive technologies, including institutional awards for research innovation and teaching. His dedication to bridging research with practical applications demonstrates his commitment to both scientific advancement and societal impact. With a vision to expand international collaborations and publish in more high-impact journals, Dr. Hazizi continues to shape the future of sustainable transportation research, with 17 citations, 4 published documents, and an h-index of 2.

Profiles:  Scopus | ORCID | Google Scholar

Featured Publications

Hazizi, K., & Ghahleeh, M. (2023). Design and analysis of a typical vertical pressure vessel using ASME code and FEA technique. Infrastructures, 7(3), 78. Cited by: 22

Hazizi, K., Ramezanpour, A., Costall, A., & Asadi, M. (2019). Numerical analysis of a turbocharger compressor. E3S Web of Conferences, 95, 04008. Cited by: 6

Gophane, I., Dharashivkar, N., Mulik, P., & Patil, P. (2024). Analysis of pressure vessel. Indian Journal of Science and Technology, 17(12), 1148–1158. Cited by: 2

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Applied Engineering, 4(3), 948–973. Cited by: 1

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Preprints, 2023080788. Cited by: 1