Prof Yiwei Wang, Beihang University, China
Yiwei Wang, an Associate Professor at Beihang University, received her Ph.D. from the National Institute of Applied Sciences of Toulouse (INSA de Toulouse), France, in 2017. She specializes in industrial intelligence, human-robot collaborative assembly, and prognostics and health management. With extensive R&D experience in industry intelligence methods, Yiwei has contributed significantly to machinery operation and maintenance. She has published over 30 papers in SCI journals, holds eight patents, and authored a book on intelligent manufacturing engineering. In 2022, Yiwei won Beihang University’s top young talents award, solidifying her reputation as a leading expert in her field. 🌟👩🔬
Publication Profile
Scopus
Strengths for the Award
- Academic Background and Expertise: Yiwei Wang holds a Ph.D. from the National Institute of Applied Sciences of Toulouse (INSA de Toulouse), France, demonstrating a solid academic foundation. Her current position as an Associate Professor at Beihang University further highlights her academic credibility and dedication to research and education.
- Recognitions and Awards: She was honored with Beihang’s top young talents award in 2022, reflecting her exceptional contributions to her field and recognition by her peers.
- Research Contributions and Publications: Yiwei Wang has an extensive record of research, with more than 30 papers published in high-level SCI journals and international conferences. Her work has been recognized with Best Paper Awards at multiple international conferences, underscoring the quality and impact of her research.
- Patents and Intellectual Property: With eight invention patents and software copyrights, Yiwei Wang has shown her capacity for innovation and practical application of her research. This indicates her contributions to advancing technology and knowledge in her field.
- Leadership in Research Projects: She has played a significant role in several high-profile projects funded by major national organizations, including the National Natural Science Foundation and the Ministry of Industry and Information Technology. This demonstrates her leadership and ability to secure funding for impactful research.
- Editorial and Committee Roles: Yiwei Wang’s role as an editorial board member and her contributions to publishing a book on intelligent manufacturing engineering indicate her thought leadership in her field. Her involvement in national standards formulation and participation in various professional committees further highlight her active engagement and influence in the industry.
Areas for Improvement
- Diversity of Research Funding: While Yiwei Wang has secured funding from several prestigious national organizations, expanding her funding sources internationally could further enhance her research portfolio and visibility.
- Collaborative Research: Increasing collaboration with international researchers and institutions could provide additional perspectives and bolster her research’s global impact. Expanding her network beyond China could also lead to more diverse and innovative research outcomes.
- Community and Outreach Activities: Increasing involvement in community outreach and public engagement activities could further amplify the societal impact of her research. This would demonstrate a commitment not only to academic excellence but also to making her work accessible and beneficial to a broader audience.
Education
Yiwei Wang earned her Ph.D. in 2017 from the National Institute of Applied Sciences of Toulouse (INSA de Toulouse), France, where she focused on advancing industrial intelligence and manufacturing processes. Her academic journey was marked by a deep engagement in mixed reality wearable devices, human-robot collaborative assembly, and health management systems. This education laid the foundation for her later work in developing innovative approaches to fault diagnostics and prognostics in engineering systems. Yiwei’s rigorous academic training equipped her with the skills and knowledge necessary to excel in both academia and industry, driving forward her career as a research leader. 🎓📘
Experience
Yiwei Wang currently serves as an Associate Professor in the School of Mechanical Engineering and Automation at Beihang University. With several years of research and development experience in industry intelligence methods, she has focused on assembly processes and machinery operation and maintenance. Yiwei has been a leading figure in numerous projects funded by prominent organizations such as the National Natural Science Foundation and the Ministry of Industry and Information Technology. Her expertise extends to hosting and contributing to research initiatives in both civilian and military applications, showcasing her versatility and depth in industrial engineering and smart manufacturing technologies. 🏢🔧
Awards and Honors
Yiwei Wang has received multiple accolades for her contributions to engineering and industrial research. Notably, she was awarded Beihang University’s top young talents award in 2022, recognizing her exceptional achievements in academia. She has also won Best Paper Awards at several international conferences, highlighting her innovative research on intelligent assembly and human-robot collaboration. Yiwei’s influence extends beyond research, as she is an editorial board member and has contributed to national standards in China, including the formulation of GB/T41272-2022. Her numerous patents and publications further attest to her significant impact in her field. 🏆📜
Research Focus
Yiwei Wang’s research primarily revolves around industrial intelligence and smart manufacturing. She explores mixed reality wearable devices, intelligent assembly systems, and human-robot collaborative assembly. Her work extends to knowledge-based and data-driven fault diagnostics, prognostics, and health management, which are crucial for maintaining operational efficiency and safety in industrial settings. Yiwei’s research also delves into developing advanced methodologies for predicting machinery failures and optimizing maintenance practices. This focus not only enhances production quality but also reduces downtime and costs, making her contributions highly valuable in the ever-evolving landscape of industrial engineering and automation. 🤖📈
Publications Top Notes
Frequency and phase revision technique of DS/FH signal tracking | DS/FH 信号跟踪的频率相位修正技术
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly
Assembly Error Modeling and Tolerance Dynamic Allocation of Large-Scale Space Deployable Mechanism toward Service Performance
Automatic Model Creation Method of Hierarchical Parallel Network Model for Transfer Diagnosis of Rotating Machinery | 面向旋转机械迁移诊断的分层并行网络模型自动创建方法
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices
Online Surface Roughness Prediction for Assembly Interfaces of Vertical Tail Integrating ToolWear under Variable Cutting Parameters
Conclusion
Yiwei Wang’s accomplishments and contributions make her a highly suitable candidate for the Best Researcher Award. Her strong academic background, extensive research and publication record, recognized innovations, and leadership roles within the academic and professional communities reflect her excellence in research. To strengthen her candidacy further, she might consider broadening her research collaborations and funding sources internationally and increasing her involvement in outreach activities to maximize her research impact. Nonetheless, her current achievements clearly position her as a deserving nominee for this prestigious award.