Prof. Lingyu Ai | Optoelectronic Information | Best Researcher Award
Associate Professor at Jiangnan university, China
Lingyu Ai is an Associate Professor at Jiangnan University with deep expertise in 3D imaging and display technologies. Her work has significantly contributed to advancing large-scale naked-eye 3D display systems and interdisciplinary applications in AR/VR and biomedical imaging. She is a committee member of the 3D Imaging and Display Professional Committee and has been widely recognized for her leadership in engineering innovation. Her academic path and project achievements reflect a strong commitment to applying engineering solutions to real-world visualization challenges, earning her respect in both academic and industrial communities.
Profile
Education
Lingyu Ai earned her Ph.D. in Electronic Engineering from the Holodigilog Human Media Research Center at Kwangwoon University, South Korea. During her doctoral studies, she was mentored by Professor Eun-Soo Kim, a distinguished scientist and recipient of the Korean Presidential Award. Her educational background laid a solid theoretical and experimental foundation for her later pursuits in optical systems, imaging, and digital media technologies. Her international education experience has equipped her with a global perspective and advanced methodologies in the development of 3D display systems.
Experience
Since completing her doctoral studies, Ai has established herself as a leading academic and researcher in 3D visualization. At Jiangnan University, she has led and participated in five national-level projects, including those funded by the National Natural Science Foundation and the Ministry of Science and Technology’s Foreign Expert Program. Her research is characterized by its strong applicability and commercial potential, particularly in designing deployable 3D imaging systems and display technologies. Her experience spans interdisciplinary domains including electronics, optics, artificial intelligence, and biomedical engineering. Notably, her research results have not only been published but also transformed into demonstrable, market-ready technologies that have garnered industry acclaim.
Research Interests
Professor Ai’s primary research interests lie in the development of large-scale naked-eye 3D displays, subwavelength structure modeling, and 3D imaging systems tailored for chip inspection and biomedical applications. She also explores positioning and attitude estimation techniques for AR/VR, circuit miniaturization, and digital content generation. A significant focus of her current work involves integrating subwavelength structure diffraction models with deep learning algorithms to solve complex inverse diffraction problems. Her long-term research goal is to establish a world-leading 3D imaging and display research team capable of producing cutting-edge equipment with billion-level industrial impact. She continues to investigate how deep learning can enhance physical model-driven imaging, laying the groundwork for future innovations in metasurface lens design and flexible 3D displays.
Awards
Lingyu Ai has received two second-class awards for scientific and technological innovation at the municipal level or higher. These honors recognize her substantial contributions to the advancement of optical imaging and display technologies and highlight her role in fostering interdisciplinary technological integration. Her ability to bridge theoretical research with practical implementation has made her a standout figure in the scientific community. The recognition also underscores her capacity to lead complex projects with wide-reaching commercial and societal impact.
Publications
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Title: Nanometer-scale wafer surface defect measurement based on state-space digital holographic microscopy
Authors: Shengcheng Geng, Lingyu Ai, Yujia Gao, Myungjin Cho, Kanghee Won -
Title: Generating real-scene hologram through light field imaging and deep learning
Authors: Rui Wang, Lingyu Ai, Yinghui Wang, Yuqing Ni, Myungjin Cho
Conclusion
Lingyu Ai exemplifies the fusion of interdisciplinary research and engineering innovation. Her academic foundation in electronic engineering, combined with her applied research in 3D imaging and visualization technologies, has positioned her as a leader in the digital optics and AR/VR domain. Through a combination of national research leadership, strong publication record, and technological innovation, she has built a reputation for advancing frontier technologies into practical solutions. Her trajectory continues to shape the future of display systems, offering transformative impacts across digital economy sectors such as visual IoT, medical diagnostics, and immersive computing.