LIN LIU | Sustainable Development | Women Researcher Award

Dr. LIN LIU | Sustainable Development | Women Researcher Award

Research Assistant at University of Technology Sydney, Australia

Lin Liu is a dedicated researcher and educator specializing in electrical engineering, particularly in the design optimization of electrical machines and drive systems. Currently, she serves as a Research Assistant at the University of Technology Sydney (UTS), where she collaborates with esteemed faculty members on cutting-edge projects in her field. With a robust educational background and extensive research experience, Liu has established herself as a key contributor to advancements in electromagnetic device design and efficiency.

Profile

Google Scholar

Education

Liu’s academic journey began with a Bachelor of Engineering in Control and Computer Engineering at North China Electric Power University (NCEPU), followed by a Master of Engineering, where she also earned honors at South Ural State University (SUSU) in Russia. She pursued her Doctoral degree at UTS, under the supervision of leading researchers, focusing on innovative solutions in electrical engineering. Liu is currently a Research Assistant at UTS, where her work is characterized by a commitment to academic excellence and the application of advanced technologies in engineering.

Experience

Liu’s professional experience encompasses a range of research projects and teaching roles. She has been involved in significant research initiatives, including the characterization of amorphous metal materials as part of an Australian Research Council project, and has contributed to wind power forecasting and predictive maintenance algorithms. In addition to her research endeavors, she has served as a Casual Academic Assistant at UTS, where she facilitated lab sessions and tutorials, receiving commendations for her teaching effectiveness and student engagement.

Research Interests

Liu’s research interests are centered around the optimization of electrical machines and drive systems, the modeling of magnetic materials, and the application of artificial intelligence algorithms in engineering. Her innovative approach combines theoretical modeling with experimental validation, leading to significant advancements in energy efficiency and performance in electrical devices.

Awards

Throughout her academic career, Liu has received numerous accolades, reflecting her commitment to excellence. Notable achievements include the SEDE Outstanding Casual Academic Award from UTS, recognition as an Outstanding Reviewer for IEEE Transactions on Industrial Electronics, and several scholarships for academic excellence at NCEPU. These awards underscore her exceptional contributions to both research and education.

Publications

Liu has made substantial contributions to scholarly literature, with several publications in reputable journals. Her key works include:

Liu, L., Ba, X., Guo, Y., Lei, G., Sun, X., & Zhu, J. (2022). “Improved iron loss prediction models for interior PMSMs considering coupling effects of multiphysics factors.” IEEE Transactions on Transportation Electrification, DOI: 10.1109/TTE.2022.3189504. (Cited by 25)

Liu, L., Guo, Y., Yin, W., Lei, G., Sun, X., & Zhu, J. (2024). “Efficient design optimization of PMSM drive systems using improved equivalent-circuit-based loss minimization control.” IEEE Transactions on Industrial Electronics. (Accepted)

Liu, L., Guo, Y., Lei, G., & Zhu, J. (2023). “Designing High-Power-Density Electric Motors for Electric Vehicles with Advanced Magnetic Materials.” World Electric Vehicle Journal, 14(4), article 114. (Cited by 15)

Liu, L., Guo, Y., & Zhu, J. (2021). “Iron loss calculation for high-speed permanent magnet machines considering rotating magnetic field and thermal effects.” IEEE Transactions on Applied Superconductivity, 31(8), 1-5. (Cited by 10)

Conclusion

Lin Liu stands out as a promising researcher in the field of electrical engineering, driven by a passion for innovation and a commitment to advancing technology. Her academic accomplishments, coupled with her practical experience and leadership in student organizations, position her as a key figure in shaping the future of electromagnetic device design and optimization. Liu’s dedication to her research and her ability to mentor and inspire students reflect her potential for significant contributions to the field in the years to come.

GUANGYAO FAN – Sustainable Development – Best Researcher Award

GUANGYAO FAN - Sustainable Development - Best Researcher Award

Shandong university - China

AUTHOR PROFILE

SCOPUS

RESEARCH FOCUS ON HYDROGEN-BASED MULTI-ENERGY SYSTEMS

GUANGYAO FAN is currently pursuing a PhD in Control Theory and Control Engineering at Shandong University. Their research interests primarily center around the intelligent optimization of hydrogen-based regional multi-energy systems and the hydrogen economy.

EDUCATIONAL JOURNEY

Prior to their doctoral studies, FAN completed an M.S. in Energy Power at North China Electric Power University (NCPU) from September 2020 to July 2023.

PUBLICATIONS AND RESEARCH CONTRIBUTIONS

FAN has made significant contributions to the field, publishing four SCI papers as first author or corresponding author. These publications include research on multi-time-space scale optimization for hydrogen-based regional multi-energy systems, collaborative optimization for renewable energy systems, energy management strategies for near-zero energy community energy supply systems, and multi-time scale operation optimization for community energy systems.

RESEARCH PUBLICATIONS

Notably, their papers have been published in high-impact journals such as Applied Energy, Energy, and Sustainable Cities and Society, showcasing their expertise in energy optimization and management.

ACADEMIC AFFILIATION

FAN is affiliated with the School of Control Science and Engineering at Shandong University, where they continue to advance research in the field of energy systems optimization.

CONTACT INFORMATION

For further inquiries, please contact GUANGYAO FAN via their academic institution at the School of Control Science and Engineering, Shandong University, China.

NOTABLE PUBLICATION

Multi-time-space scale optimization for a hydrogen-based regional multi-energy system

Adaptive energy optimization strategy of island renewable power-to-hydrogen system with hybrid electrolyzers structure 2024 (1)

Collaborative optimization method and energy-saving, carbon-abatement potential evaluation for nearly-zero energy community supply system with different scenarios 2023 (8)

Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage 2022 (24)

A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for nearly zero-energy communities and buildings 2022 (84)