Dr. Qinglu Fan | Renewable Energy | Best Researcher Award

Dr. Qinglu Fan | Renewable Energy | Best Researcher Award

Dr. Qinglu Fan | YiBin Vocational And Technical College | China

Dr. Qinglu Fan is a lecturer at YiBin Vocational and Technical College, specializing in materials science and engineering with a research focus on nickel-based layered cathode materials for lithium-ion batteries. She earned her doctoral degree at Guangdong University of Technology from 2016 to 2021 and conducted research as a visiting Ph.D. student at Binghamton University from 2019 to 2021. Her work centers on interface and bulk regulation of Ni-rich layered cathode materials to enhance their electrochemical performance, stability, and efficiency. She has published more than ten papers as the first author in international journals, including Journal of Power Sources, ACS Applied Materials & Interfaces, and Applied Materials Today, and authored the book β€œLithium-ion Battery Nickel-based Layered Cathode Materials and Its Modifications.” Her research is supported by multiple ongoing projects, including participation in the National Natural Science Foundation of China, as principal investigator of the Ph.D. Startup Fund at Yibin Vocational and Technical College, and leadership of the Academician Ouyang Minggao Workstation Youth Talent Development Fund. With an h-index of ten, she continues to contribute to the advancement of sustainable energy storage materials and innovative solutions for next-generation lithium-ion batteries.

Profile: Scopus | Orcid

Featured Publications

  • Fan, Q., Li, X., Cheng, Y., Hu, Y., Ma, W., & Chen, Z. (2025). Enhanced cycling stability of nickel-rich single-crystal LiNi0.83Co0.12Mn0.05O2 at high voltage via low-temperature epitaxial rock-salt interface engineering. Journal of Materials Science.

  • Fan, Q., Li, X., Cheng, Y., Hu, Y., Ma, W., Almuqrin, A. H., Alodhayb, A. N., Chen, Z., & Shi, Z. (2025). Comprehensive investigation of the impact of calcination temperature-induced Li/Ni mixing on LiNi0.8Mn0.1Co0.1O2. Materials Today Energy.

  • Fan, Q., Chen, Z., Ma, W., & Shi, Z. (2025). Examining the collaborative impact of a heterojunction TiO2 coating and Ti substitution on LiNi0.8Co0.1Mn0.1O2 via a single-step modification approach. Applied Materials Today.

  • Fan, Q. (2021). Heterojunction TiO2@TiOF2 nanosheets as superior anode materials for sodium-ion batteries. Journal of Materials Chemistry A.

  • Fan, Q., Lin, K., Guan, S., Chen, J., Feng, S., Liu, L., & Shi, Z. (2021). Constructing high conductive composite coating with TiN and polypyrrole to improve the performance of LiNi0.8Co0.1Mn0.1O2 at high cutoff voltage of 4.5 V. ACS Applied Energy Materials.

  • Fan, Q. (2021). Can greener Cyrene replace NMP for electrode preparation of NMC 811 cathodes? Journal of The Electrochemical Society.

 

 

 

Prof. Yangjun Zhang | Energy Storage Solutions | Best Researcher Award

Prof. Yangjun Zhang | Energy Storage Solutions | Best Researcher Award

Prof. Yangjun Zhang | Tsinghua University | China

Prof. Yangjun Zhang, Hubei Province, is a distinguished scholar in aeroengine engineering. He earned his doctoral degree from the Beijing University of Aeronautics and Astronautics and completed postdoctoral research at Tsinghua University. He advanced through academic ranks to become a full professor. His pioneering contributions span aerothermodynamics, turbocharging systems, and turboelectric power systems. Prof. Zhang developed China’s first high-pressure ratio turbocharging system and the first turbo-electric fan engine. He has published hundreds of papers, written several books, and holds numerous national and international patents. He currently serves in leading academic and professional committee roles worldwide.

Professional Profile

Scopus

Education and Experience

Prof. Yangjun Zhang received his doctoral degree in aeroengine engineering from the Beijing University of Aeronautics and Astronautics. After completing his postdoctoral work at Tsinghua University, he entered academia as an associate professor and later became a full professor. Over the course of his career, he has conducted groundbreaking research in turbomachinery aerothermodynamics and advanced power systems. His achievements include innovations in turbocharged engines and the development of turboelectric propulsion systems. He now serves as the executive deputy director of the State Key Laboratory of Intelligent Green Vehicle and Mobility, while remaining a global leader in propulsion and energy research.

Summary Suitability

Prof. Yangjun Zhang is an outstanding candidate for the Best Researcher Award, recognized for his pioneering contributions to aeroengine engineering, turbomachinery aerothermodynamics, and advanced power systems. His research bridges fundamental science and engineering applications, significantly advancing both the automotive and aerospace sectors.Prof. Zhang’s early research uncovered novel flow mechanisms in turbocharged engine systems, leading to innovative methods that enhanced compressor stability. These breakthroughs enabled the successful development of China’s first high-pressure ratio turbocharging system.

Professional Development

Prof. Yangjun Zhang has advanced the field of propulsion through academic leadership, innovative research, and professional service. He has published extensively, authored multiple books, and secured a wide range of patents. His editorial role as one of the editors-in-chief of the International Journal of Fluid Machinery and Systems highlights his global academic influence. In addition, he holds prominent leadership positions in major scientific and engineering societies, including chairing committees on new energy power technology and serving as vice chair of professional organizations in engineering thermophysics. His leadership has fostered international collaboration and strengthened academic and industrial progress.

Research Focus

Prof. Yangjun Zhang focuses on aerothermodynamics of turbomachinery and advanced power systems with applications in aerospace and automotive industries. His early work revealed new flow mechanisms in turbocharged engine systems and introduced innovative methods to enhance compressor stability. His more recent research explores turboelectric power systems, where he developed integrated design methods for turbomachines and electric machines with multiphysics coupling. His achievements include high-power-density motor cooling innovations using flat heat pipes and the concept of a variable cycle fuel cell turbo-electric engine. He led the creation of China’s first high-pressure ratio turbocharging system and the first turbo-electric fan engine.

Awards and Honors

Prof. Yangjun Zhang has received numerous prestigious awards for his exceptional contributions to engineering. His honors include recognition from leading international engineering societies for best research papers, medals for outstanding innovation, and national awards for scientific and technological progress. His achievements have also been celebrated with distinguished engineer awards and prizes for excellence in industry applications. These accolades reflect his global influence and leadership in propulsion, turbomachinery, and advanced power systems research, establishing him as a highly respected authority and one of the most impactful scholars in his field.

Publication Top notes

Title: ME-NN: a modal-enhanced neural network for ducted fan flow fields and performance modeling under complex environments
Year: 2024

Conclusion

Prof. Yangjun Zhang’s sustained research excellence, groundbreaking innovations, and international leadership make him a highly suitable candidate for the Best Researcher Award. His work not only pushes the boundaries of propulsion and energy systems but also strengthens global collaboration and technological progress, embodying the very spirit of this distinguished recognition.

 

 

Dr. Moustafa Magdi Ismail Mohamed | Renewable Energy | Transportation Research Award

Dr. Moustafa Magdi Ismail Mohamed | Renewable Energy | Transportation Research Award

 

Dr. Moustafa Magdi Ismail Mohamed , King Fahd University of Petroleum and Minerals , Saudi Arabia

Dr. Moustafa Magdi Ismail Mohamed πŸŽ“ is an accomplished Assistant Professor of Electrical Engineering ⚑ at Minia University, Egypt, he brings a rich background in teaching, research, and academic leadership. Passionate about sustainable energy 🌱, smart grids πŸ’‘, and electric vehicles πŸš—πŸ”‹, Dr. Moustafa has made significant strides in these fields. His contributions include guiding graduate projects, publishing scholarly articles πŸ“š, and serving as a top reviewer for IEEE journals πŸ…. Dedicated to innovation and education, he actively participates in curriculum design and lab supervision, all while promoting quality assurance in engineering education πŸ› οΈπŸ‘¨β€πŸ«.

Publication Profile

Google Scholar

Education & ExperienceΒ 

  • πŸŽ“ Assistant Professor, Minia University, Egypt (Aug 2021 – Present)

    • Teaching & curriculum design for Electrical Engineering

    • Supervision of graduate projects, labs, and quality systems

  • πŸŽ“ Assistant Professor, Higher Institute of Engineering and Technology – New Minya (Oct 2021 – Jan 2022)

    • Delivered technical courses across various levels

  • πŸ‘¨β€πŸ« Assistant Lecturer, Minia University (Since Oct 2011)

  • πŸŽ“ Academic Qualifications: PhD in Electrical Engineering (details not provided here, assumed complete)

Suitability summary

Dr. Moustafa Magdi Ismail Mohamed’s work aligns seamlessly with the goals of the Transportation Research Award, having made transformative contributions to electric transportation technologies. As an Assistant Professor of Electrical Engineering at Minia University, Egypt, he has pioneered research in Permanent Magnet Synchronous Motor (PMSM) control, battery management systems, predictive EV drive control, and AI-based optimization techniquesβ€”all key elements that enhance the efficiency, reliability, and intelligence of transportation systems. πŸ“ˆπŸ”ŒπŸš˜

Professional DevelopmentΒ 

Dr. Moustafa continually invests in his professional growth πŸ“ˆ. With a strong foundation in renewable energy systems β˜€οΈ and electric mobility βš™οΈ, he keeps pace with emerging technologies through ongoing research and academic engagement. He actively contributes to scholarly dialogue by publishing in prestigious journals and reviewing for top IEEE Transactions titles πŸ§ πŸ“„. He also attends conferences, workshops, and faculty development programs focused on e-learning πŸ’» and energy sustainability 🌍. As an academic supervisor for graduate programs, he nurtures the next generation of engineers while remaining deeply engaged in his own development and that of the educational systems around him πŸ“šπŸŒ.

Research Focus

Dr. Moustafa’s research centers on sustainable and smart energy solutions ⚑🌱. His focus spans renewable energy integration 🌞, net-zero energy buildings 🏘️, electric vehicle (EV) charging networks πŸš—πŸ”Œ, and battery management systems πŸ”‹. He explores the use of control systems, power electronics, and machine learning πŸ€– to enhance grid stability and efficiency. His projects often address national and global challenges in clean energy and energy policy πŸŒπŸ“Š. With a commitment to environmental impact and technological innovation, he contributes both theoretical insight and practical solutions to advance green engineering and intelligent energy infrastructures πŸ§ πŸ’‘.

Awards and HonorsΒ 

  • πŸ… Recognized as a Top Reviewer in multiple IEEE Transactions journals

  • πŸ₯‡ Multiple research publications cited on Google Scholar and ResearchGate

  • πŸŽ–οΈ Academic excellence acknowledged in faculty committees and university boards

  • 🌟 Active contributor to international research communities and engineering networks

Publication Top Notes

  • Adaptive Speed Control of PMSM Drive System Based on a New Sliding-Mode Reaching Law
    IEEE Transactions on Power Electronics, Vol. 35, No. 11, 2020 – Citations: 329
    ➀ Developed a robust sliding-mode control law for PMSM drives.

  • 🧬 Parameter Optimization of Adaptive Flux-Weakening Strategy for PMSM Drives Using Particle Swarm Algorithm
    IEEE Transactions on Power Electronics, Vol. 34, No. 12, 2019 – Citations: 93
    ➀ Enhanced PMSM efficiency using swarm intelligence-based tuning.

  • πŸŒ€ Torque Ripple Reduction Strategy for Surface-Mounted PMSMs in Flux-Weakening Region Using Genetic Algorithm
    IEEE Transactions on Industry Applications, 2021 – Citations: 25
    ➀ Optimized torque performance using GA-based control refinement.

  • ⚑ Fast Terminal Reaching Law-Based Composite Speed Control for PMSM Drives
    IEEE Access, 2022 – Citations: 23
    ➀ Introduced a fast-reacting composite controller for high-speed applications.

  • πŸ“ˆ Adaptive Linear Predictive Model for Improved PMSM Control Across Speed Regions
    IEEE Transactions on Power Electronics, 2022 – Citations: 21
    ➀ Delivered a flexible predictive control model for dynamic conditions.

  • πŸ”„ Low-Complexity Model Predictive Current Control for Three-Level Inverter-Fed Linear Induction Machines
    IEEE Transactions on Industrial Electronics, 2022 – Citations: 20
    ➀ Proposed a simplified and efficient control method for LIMs.

  • 🏠 Optimal Residential Microgrid Planning Using Demand Response and ABC Algorithm
    IEEE Access, Vol. 10, 2022 – Citations: 14
    ➀ Integrated smart grid optimization with artificial bee colony technique.

  • πŸ”Œ Optimal EV and DG Integration into CIGRE’s MV Benchmark Model
    IEEE Access, Vol. 10, 2022
    ➀ Evaluated EV and DG coordination strategies in modern power systems.

Conclusion

Dr. Moustafa Magdi Ismail Mohamed’s research makes a direct and valuable impact on the transportation sector, offering real-world solutions for electric mobility and smart transport systems. His blend of academic excellence, applied innovation, and visionary thinking exemplifies the spirit of the Transportation Research Award. Recognizing him with this award would honor a career dedicated to transforming how we power, control, and advance transportation in the era of sustainability. πŸ†πŸŒŽπŸš™