Dr.Na Yi | Power system | Best Researcher Award
Dr.Na Yi, Heilongjiang University of Science and Technology, China
Profile
📚 Early Academic Pursuits
Na Yi was born in June 1997 in Acheng, Harbin, and has been a dedicated member of the Communist Party of China. She embarked on her academic journey by pursuing a major in Electrical Engineering and Automation at Northeast Petroleum University, from which she graduated in 2019. Recognized for her exceptional capabilities, she was recommended as a doctoral student in Petroleum and Natural Gas Engineering simultaneously. She furthered her studies at Southeast University, culminating in a doctoral degree in 2024.
💼 Professional Endeavors
After obtaining her doctoral degree, Na Yi’s career advanced rapidly. She secured a position as an Associate Professor, where she leveraged her extensive knowledge in the fields of Electrical Engineering and Petroleum and Natural Gas Engineering. Her academic and professional pursuits have been marked by a series of significant achievements and contributions to her field.
🔬CONTRIBUTIONS AND RESEARCH FOCUS
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Na Yi has an impressive portfolio of over 20 published papers in renowned journals, including “Future Generation Computer Systems,” “Sustainable Energy, Grids and Networks,” “Transactions of China Electrotechnical Society,” and “Electric Power Engineering Technology.” Among her publications, 10 are indexed by SCI and 5 by EI, with notable distinctions such as one ESI highly cited paper, one ESI hot paper, and two Top papers. Her research primarily focuses on advancements in sustainable energy systems, electrical engineering, and the optimization of petroleum and natural gas engineering processes.
🌟Impact and Influence
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Her work has garnered significant recognition, evidenced by the 6 national authorized patents she holds and her participation in 5 scientific research projects at various governmental levels, including national, provincial, ministerial, and municipal. Na Yi’s contributions have been honored with over 10 national and provincial awards in prestigious competitions like the Petroleum Equipment Innovation Design Competition, Internet +, and Challenge Cup.
📖 ACADEMIC CITES
Na Yi serves as a special reviewer for several international academic journals, including “IET Generation Transmission & Distribution” and “Scalable Computing: Practice and Experience,” as well as Chinese academic journals like “Proceedings of the CSU-EPSA,” “Thermal Power Generation,” and “Zhejiang Electric Power.” Her expertise has led to invitations to present at both international and domestic conferences on three occasions, showcasing her influence and recognition within the academic community.
🌍 LEGACY AND FUTURE CONTRIBUTIONS
Na Yi’s legacy in the academic and professional spheres is marked by her dedication to innovation and excellence in engineering and energy systems. Her future contributions are poised to further impact the fields of sustainable energy and electrical engineering, driven by her ongoing research, publications, and active participation in high-level scientific projects and academic discourse. Her achievements set a benchmark for future scholars and professionals in her field, and her work continues to inspire advancements in technology and engineering.
📰PUBLICATIONS
- A multi-stage low-cost false data injection attack method for power CPS | 电力 CPS 多阶段低代价虚假数据注入攻击方法
- Authors: Yi, N., Xu, J., Chen, Y., Pan, F.
- Journal: Zhejiang Electric Power
- Task optimization and scheduling of distributed cyber–physical system based on improved ant colony algorithm
- Authors: Yi, N.; Xu, J.; Yan, L.; Huang, L.
- Journal: Future Generation Computer Systems
- Multi-stage coordinated cyber-physical topology attack method based on deep reinforcement learning
- Authors: Yi, N., Xu, J., Chen, Y., Sun, D.
- Journal: Electric Power Engineering Technology
- A multi-stage game model for the false data injection attack from attacker’s perspective
- Authors: Yi, N., Wang, Q., Yan, L., Tang, Y., Xu, J.
- Journal: Sustainable Energy, Grids and Networks
- Insulator Self-Explosion Defect Detection Based on Hierarchical Multi-Task Deep Learning | 基于层次多任务深度学习的绝缘子自爆缺陷检测
- Authors: Xu, J., Huang, L., Yan, L., Yi, N.
- Journal: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society